Singapore GDP Per Capita

Singapore · Annual series · EC-SG-GDPPC

Latest, 2025

70.7K USD

+3.7% from 2024

Open interactive chartSingapore GDP Per Capita in the app

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

Forecast

Forecast for 2028: 75.2K USD, with an 80% interval of 66.7K USD to 83.7K USD.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2026	72.2K USD	69.2K USD	75.1K USD
2027	73.7K USD	65.4K USD	82.0K USD
2028	75.2K USD	66.7K USD	83.7K 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 6 older tests (0.46) and was chosen. The 6 recent tests played no part in the choice and give its grade (0.71). 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: Statistical, Machine learning, Foundation model, Neural network. Previous model roster.

Every model tested on this series.
Model	Class and compute	Older tests	Recent tests	Role
Exponential smoothing (statistical)	Statistical · CPU	0.46	0.71	Serving
Gradient-boosted trees (machine learning)	Machine learning · CPU	0.50	0.83	Tested
State-space model, 167M (foundation model)	Foundation model · CPU	0.51	0.79	Tested
Agentic Investor TSFM (foundation model)	Foundation model · CPU	0.66	0.67	Tested
Hierarchical neural network (neural network)	Neural network · CPU	0.66	1.54	Tested
Naive forecast (last value held)	Benchmark · CPU	1.00	1.00	Benchmark

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	70.7K USD
2024	68.1K USD
2023	66.0K USD
2022	68.3K USD
2021	67.8K USD
2020	59.1K USD
2019	61.1K USD
2018	61.1K USD
2017	59.5K USD
2016	57.1K USD
2015	55.6K USD
2014	54.7K USD
2013	53.3K USD
2012	51.7K USD
2011	50.7K USD
2010	48.8K USD
2009	43.3K USD
2008	44.6K USD
2007	46.2K USD
2006	44.2K USD
2005	41.8K USD
2004	39.9K USD
2003	36.7K USD
2002	34.6K USD

Source

Data: public market data feeds.