United States GDP Per Capita PPP

United States · Annual series · EC-US-GDPPCP

Latest, 2025

76.9K USD

+1.6% from 2024

Open interactive chartUnited States GDP Per Capita PPP in the app

History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 79.6K USD, with an 80% interval of 77.4K USD to 81.9K USD.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2026	77.8K USD	77.2K USD	78.5K USD
2027	78.7K USD	77.1K USD	80.3K USD
2028	79.6K USD	77.4K USD	81.9K USD

Model: Exponential smoothing (statistical). Forecast generated 2026-11-14.

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Exponential smoothing (statistical)

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

Previous comparisonThe stored comparison uses earlier data or a previous model roster. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Models tested

Exponential smoothing scored lowest on the 2 older tests (0.25) and was chosen. The 3 recent tests played no part in the choice and give its grade (0.44). The search for a model that beats the naive forecast on both sets of tests goes on. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.

2 model classes completed the tests: Statistical, Foundation model. Previous model roster.

Every model tested on this series.
Model	Class and compute	Older tests	Recent tests	Role
Exponential smoothing (statistical)	Statistical · CPU	0.25	0.44	Serving
Agentic Investor TSFM (foundation model)	Foundation model · CPU	0.45	0.40	Tested
State-space model, 167M (foundation model)	Foundation model · CPU	0.47	0.29	Tested
Naive forecast (last value held)	Benchmark · CPU	1.00	1.00	Benchmark
Gradient-boosted trees (machine learning)	Machine learning · CPU	n/a	n/a	Did not run
Hierarchical neural network (neural network)	Neural network · CPU	n/a	n/a	Did not run

Uses ci-proto, released by Continuous Intelligence. Continuous Intelligence does not endorse or approve this product or service. (ci-proto is shown as State-space model, 167M.)

Reading

That is the highest of the 10 readings since 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.
Period	Value
2025	76.9K USD
2024	75.7K USD
2023	74.4K USD
2022	72.8K USD
2021	71.4K USD
2020	67.4K USD
2019	69.1K USD
2018	67.7K USD
2017	66.2K USD
2016	65.0K USD
2015	64.4K USD
2014	63.0K USD
2013	62.0K USD
2012	61.1K USD
2011	60.3K USD
2010	59.8K USD
2009	58.7K USD
2008	60.8K USD
2007	61.3K USD
2006	60.7K USD
2005	59.6K USD
2004	58.1K USD
2003	56.5K USD
2002	55.4K USD

Source

Data: public market data feeds.