AgenticInvestor

Philippines Unemployed Persons

Philippines · Monthly series · EC-PH-UP

Latest, September 2026

2,864,650.0 pts

+3.4% from August 2026

Open interactive chartPhilippines Unemployed Persons in the app

7.254M4.437M1.62MDecember 2000September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 3,147,977.5 pts, with an 80% interval of 2,370,268.0 pts to 3,897,155.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262,860,268.0 pts2,458,300.0 pts3,265,311.2 pts
November 20262,871,569.2 pts2,454,565.0 pts3,295,926.0 pts
December 20262,900,112.2 pts2,457,435.0 pts3,354,442.5 pts
January 20272,991,103.5 pts2,500,870.5 pts3,466,620.8 pts
February 20272,984,391.2 pts2,477,265.8 pts3,474,538.2 pts
March 20272,993,845.0 pts2,457,053.8 pts3,528,632.5 pts
April 20273,034,550.5 pts2,454,890.8 pts3,577,807.8 pts
May 20273,049,066.0 pts2,436,919.0 pts3,645,725.5 pts
June 20273,074,324.5 pts2,396,198.0 pts3,721,951.5 pts
July 20273,139,071.0 pts2,427,186.8 pts3,827,690.2 pts
August 20273,137,244.5 pts2,399,300.0 pts3,852,839.8 pts
September 20273,147,977.5 pts2,370,268.0 pts3,897,155.5 pts

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

AI confidence

Not evaluated

The serving model has no matching evaluation yet.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 82% of the 55 earlier readings since December 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
September 20262,864,650.0 pts
August 20262,769,320.0 pts
July 20263,143,880.0 pts
June 20262,587,680.0 pts
May 20262,498,310.0 pts
April 20262,414,150.0 pts
March 20262,576,790.0 pts
February 20262,660,660.0 pts
January 20262,955,010.0 pts
December 20252,259,520.0 pts
November 20252,252,330.0 pts
October 20252,542,070.0 pts
September 20251,955,790.0 pts
August 20252,033,500.0 pts
July 20252,593,410.0 pts
June 20251,949,020.0 pts
May 20252,034,780.0 pts
April 20252,063,650.0 pts
March 20251,931,490.0 pts
February 20251,936,950.0 pts
January 20252,164,800.0 pts
December 20241,629,010.0 pts
November 20241,662,710.0 pts
October 20241,965,650.0 pts

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Philippines