Jordan Food Inflation YoY

Jordan · Monthly series · EC-JO-FI

Latest, September 2026

0.3%

+0.12pp from August 2026

Open interactive chartJordan Food Inflation YoY in the app

5.5-3.05-11.6September 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 0.7%, with an 80% interval of -2.0% to 3.4%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20260.4%-0.9%2.0%
November 20260.6%-1.4%2.7%
December 20260.7%-1.5%3.0%
January 20270.7%-1.6%3.0%
February 20270.6%-1.7%3.1%
March 20270.6%-1.8%3.1%
April 20270.7%-1.7%3.2%
May 20270.8%-1.8%3.3%
June 20270.8%-1.9%3.4%
July 20270.7%-1.9%3.3%
August 20270.7%-2.0%3.4%
September 20270.7%-2.0%3.4%

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 44% of the 118 earlier readings since October 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 20260.3%
August 20260.2%
July 20260.7%
June 20260.4%
May 20261.1%
April 20262.5%
March 20262.9%
February 20260.2%
January 2026-1.4%
December 2025-1.3%
November 2025-0.9%
October 20250.8%
September 20251.0%
August 2025-0.4%
July 20250.1%
June 20252.6%
May 20253.0%
April 20251.7%
March 20250.3%
February 20252.0%
January 20253.1%
December 20242.6%
November 20241.2%
October 2024-0.6%

Source

Data: public market data feeds.

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