Pakistan Consumer Confidence Index

Pakistan · Monthly series · EC-PK-CCI

Latest, September 2026

36.6%

+0.20pp from August 2026

Open interactive chartPakistan Consumer Confidence Index in the app

55.9741.126.24January 2012September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 37.4%, with an 80% interval of 29.0% to 45.8%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202636.8%34.5%39.4%
November 202637.0%33.5%40.5%
December 202637.1%32.7%41.4%
January 202737.2%32.2%42.0%
February 202737.3%31.7%42.7%
March 202737.3%31.2%43.2%
April 202737.4%30.8%43.6%
May 202737.4%30.3%44.2%
June 202737.5%29.9%44.9%
July 202737.4%29.6%45.0%
August 202737.4%29.4%45.3%
September 202737.4%29.0%45.8%

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 37% of the 81 earlier readings since November 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 202636.6%
August 202636.4%
July 202635.8%
June 202636.1%
May 202635.5%
April 202636.1%
March 202637.4%
February 202643.0%
January 202641.6%
December 202540.2%
November 202541.0%
October 202540.0%
September 202537.7%
August 202540.5%
July 202540.1%
June 202542.1%
May 202544.6%
April 202540.6%
March 202540.4%
February 202540.3%
January 202538.0%
December 202436.4%
November 202434.9%
October 202435.5%

Source

Data: public market data feeds.

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