Namibia Food Inflation YoY

Namibia · Monthly series · EC-NA-FI

Latest, July 2026

3.6%

+1.10pp from June 2026

Open interactive chartNamibia Food Inflation YoY in the app

14.567.6250.6897August 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 6.6%, with an 80% interval of 1.3% to 13.4%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20264.1%3.1%5.3%
September 20264.5%3.5%5.5%
October 20264.8%3.6%6.2%
November 20265.1%3.8%6.7%
December 20265.5%2.9%8.6%
January 20275.8%2.2%10.3%
February 20276.2%1.8%11.4%
March 20276.4%0.7%13.4%
April 20276.5%1.7%12.5%
May 20276.7%1.7%12.8%
June 20276.7%2.4%12.1%
July 20276.6%1.3%13.4%

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 12 tests (12 tests, 9 won)
Direction
72%No clear edge over a coin flip (103 of 144 calls right in 12 tests)
Turning points
20 of 50Anticipated some turns (50 turns in 12 tests, 0 without a turn)
Error vs baseline
10% lowerError ratio 0.90; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
81%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 19% of the 119 earlier readings since August 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
July 20263.6%
June 20262.5%
May 20262.0%
April 20262.0%
March 20261.7%
February 20261.6%
January 20261.9%
December 20252.6%
November 20253.9%
October 20254.6%
September 20254.9%
August 20255.2%
July 20256.1%
June 20256.4%
May 20255.8%
April 20255.7%
March 20256.2%
February 20255.9%
January 20255.3%
December 20245.9%
November 20245.3%
October 20245.1%
September 20245.2%
August 20245.2%

Source

Data: public market data feeds.

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