Philippines Employed Persons

Philippines · Monthly series · EC-PH-EMP

Latest, September 2026

50,323,010.0 pts

+1.1% from August 2026

Open interactive chartPhilippines Employed Persons in the app

50.94M40.05M29.16MJune 2001September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 49,590,920.0 pts, with an 80% interval of 48,007,712.0 pts to 50,846,852.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202649,289,060.0 pts47,858,728.0 pts50,565,288.0 pts
November 202649,566,776.0 pts48,138,800.0 pts50,722,804.0 pts
December 202649,697,128.0 pts48,231,108.0 pts50,817,916.0 pts
January 202749,165,308.0 pts47,627,500.0 pts50,523,668.0 pts
February 202749,589,940.0 pts48,149,192.0 pts50,716,144.0 pts
March 202749,527,888.0 pts48,110,028.0 pts50,723,936.0 pts
April 202749,250,200.0 pts47,694,028.0 pts50,602,532.0 pts
May 202749,574,992.0 pts48,068,748.0 pts50,781,096.0 pts
June 202749,765,520.0 pts48,236,112.0 pts50,936,736.0 pts
July 202749,094,624.0 pts47,386,980.0 pts50,605,328.0 pts
August 202749,556,740.0 pts47,977,696.0 pts50,791,744.0 pts
September 202749,590,920.0 pts48,007,712.0 pts50,846,852.0 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 96% of the 57 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 202650,323,010.0 pts
August 202649,788,750.0 pts
July 202649,214,500.0 pts
June 202650,658,260.0 pts
May 202649,627,230.0 pts
April 202648,889,460.0 pts
March 202649,069,000.0 pts
February 202649,425,920.0 pts
January 202647,937,600.0 pts
December 202549,427,020.0 pts
November 202549,264,780.0 pts
October 202548,619,470.0 pts
September 202549,601,880.0 pts
August 202550,096,150.0 pts
July 202546,046,450.0 pts
June 202550,474,720.0 pts
May 202550,289,760.0 pts
April 202548,671,650.0 pts
March 202548,024,860.0 pts
February 202549,154,670.0 pts
January 202548,486,640.0 pts
December 202450,185,470.0 pts
November 202449,541,470.0 pts
October 202448,156,970.0 pts

Source

Data: public market data feeds.

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