Pakistan CO2 Emissions

Name: Pakistan CO2 Emissions
Creator: Agentic Investor

Pakistan · Annual series · EC-PK-CO2E

Latest, 2024

203,988,300.0 pts

-2.3% from 2023

Open interactive chartPakistan CO2 Emissions in the app

History through 2024, the forecast path to 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2027: 206,387,984.0 pts, with an 80% interval of 157,578,870.1 pts to 264,588,972.9 pts.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2025	203,649,616.0 pts	178,922,485.4 pts	237,572,072.4 pts
2026	204,844,064.0 pts	157,918,306.0 pts	265,391,560.3 pts
2027	206,387,984.0 pts	157,578,870.1 pts	264,588,972.9 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive: +21%Beats the no-change baseline over 11 tests (11 tests, 8 won)
Direction: 85%Beats a coin flip (28 of 33 calls right in 11 tests)
Turning points: 1 of 8Anticipated some turns (8 turns in 11 tests, 5 without a turn)

Error vs baseline: 21% lowerError ratio 0.79; 1.00 is a tie.
Tests won: 8 / 11Complete rolling backtests; ties count as no win.
Test period: 1992-12-01 to 2024-12-013 observations ahead per test.
80% band coverage: 76%Observed outcomes inside the band across all stored test windows.

Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
Evaluated 2026-11-15 against the cached history through 2024-12-01.
This is an evaluation of the serving model; it does not establish a winner across four model classes.

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 44% of the 9 earlier readings since 2015.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)

The 24 most recent observations, newest first.
Period	Value
2024	203,988,300.0 pts
2023	208,889,500.0 pts
2022	235,372,500.0 pts
2021	229,136,600.0 pts
2020	222,599,700.0 pts
2019	198,840,700.0 pts
2018	202,312,400.0 pts
2017	213,295,800.0 pts
2016	196,797,600.0 pts
2015	178,284,100.0 pts
2014	169,202,700.0 pts
2013	160,798,900.0 pts
2012	157,110,000.0 pts
2011	155,239,300.0 pts
2010	155,656,600.0 pts
2009	160,075,300.0 pts
2008	156,377,000.0 pts
2007	161,964,600.0 pts
2006	145,311,000.0 pts
2005	133,921,000.0 pts
2004	131,439,700.0 pts
2003	117,497,600.0 pts
2002	113,331,300.0 pts
2001	113,976,600.0 pts

Source

Data: public market data feeds.