United States GDP Per Capita
United States · Annual series · EC-US-GDPPC
Latest, 2025
67.9K USD
+1.6% from 2024
Forecast
Forecast for 2028: 71.0K USD, with an 80% interval of 68.5K USD to 72.6K USD.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| 2026 | 69.0K USD | 67.7K USD | 69.9K USD |
| 2027 | 70.0K USD | 67.5K USD | 71.6K USD |
| 2028 | 71.0K USD | 68.5K USD | 72.6K USD |
AI confidence
Needs refreshThe data refresh is due. Confidence will be reassessed against the refreshed history.
Model: State-space model, 167M (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
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
State-space model, 167M scored lowest on the 6 older tests (0.38) and was chosen. The 6 recent tests played no part in the choice and give its grade (0.59). That grade beats the naive forecast. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.
4 model classes completed the tests: Foundation model, Statistical, Neural network, Machine learning. Previous model roster.
| Model | Class and compute | Older tests | Recent tests | Role |
|---|---|---|---|---|
| State-space model, 167M (foundation model) | Foundation model · CPU | 0.38 | 0.59 | Serving |
| Exponential smoothing (statistical) | Statistical · CPU | 0.46 | 0.61 | Tested |
| Agentic Investor TSFM (foundation model) | Foundation model · CPU | 0.53 | 0.67 | Tested |
| Hierarchical neural network (neural network) | Neural network · CPU | 0.58 | 1.08 | Tested |
| Gradient-boosted trees (machine learning) | Machine learning · CPU | 0.71 | 0.77 | Tested |
| Naive forecast (last value held) | Benchmark · CPU | 1.00 | 1.00 | Benchmark |
Reading
That is the highest of the 10 readings since 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| 2025 | 67.9K USD |
| 2024 | 66.9K USD |
| 2023 | 65.7K USD |
| 2022 | 64.3K USD |
| 2021 | 63.1K USD |
| 2020 | 59.5K USD |
| 2019 | 61.0K USD |
| 2018 | 59.8K USD |
| 2017 | 58.4K USD |
| 2016 | 57.4K USD |
| 2015 | 56.8K USD |
| 2014 | 55.7K USD |
| 2013 | 54.7K USD |
| 2012 | 54.0K USD |
| 2011 | 53.2K USD |
| 2010 | 52.8K USD |
| 2009 | 51.9K USD |
| 2008 | 53.7K USD |
| 2007 | 54.2K USD |
| 2006 | 53.6K USD |
| 2005 | 52.6K USD |
| 2004 | 51.3K USD |
| 2003 | 49.9K USD |
| 2002 | 49.0K USD |
Source
Data: public market data feeds.
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