Kazakhstan Import Prices

Kazakhstan · Monthly series · EC-KZ-IPRI

Latest, August 2026

99.4 pts

+1.5% from July 2026

Open interactive chartKazakhstan Import Prices in the app

108.8103.197.4July 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 99.9 pts, with an 80% interval of 97.6 pts to 102.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 202699.7 pts98.0 pts101.8 pts
October 202699.7 pts97.9 pts101.9 pts
November 202699.8 pts97.8 pts102.1 pts
December 202699.8 pts97.8 pts102.1 pts
January 202799.8 pts97.8 pts102.2 pts
February 202799.8 pts97.8 pts102.3 pts
March 202799.8 pts97.7 pts102.4 pts
April 202799.8 pts97.7 pts102.4 pts
May 202799.9 pts97.7 pts102.4 pts
June 202799.9 pts97.7 pts102.5 pts
July 202799.9 pts97.6 pts102.5 pts
August 202799.9 pts97.6 pts102.5 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 11% of the 117 earlier readings since September 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
August 202699.4 pts
July 202697.9 pts
June 2026101.3 pts
May 2026100.4 pts
April 202699.7 pts
March 202698.2 pts
February 202699.4 pts
January 202699.9 pts
December 202599.8 pts
November 202599.3 pts
October 2025101.0 pts
September 202599.6 pts
August 2025101.0 pts
July 2025101.8 pts
June 2025100.7 pts
May 2025100.2 pts
April 2025102.5 pts
March 2025101.4 pts
February 202599.6 pts
January 2025100.8 pts
December 2024101.7 pts
November 2024100.7 pts
October 202499.7 pts
September 2024100.4 pts

Source

Data: public market data feeds.

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