Namibia GDP From Services

Namibia · Quarterly series · EC-NA-GDPS

Latest, Q2 2026

4.56B USD

+4.8% from Q1 2026

Open interactive chartNamibia GDP From Services in the app

5.796B3.823B1.849BQ1 2008Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 4.96B USD, with an 80% interval of 4.39B USD to 5.53B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20264.36B USD3.91B USD4.89B USD
Q4 20265.03B USD4.27B USD5.80B USD
Q1 20274.75B USD4.49B USD5.02B USD
Q2 20274.96B USD4.39B USD5.53B USD

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
+30%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
84%No clear edge over a coin flip (27 of 32 calls right in 8 tests)
Turning points
19 of 20Anticipated most turns (20 turns in 8 tests, 0 without a turn)
Error vs baseline
30% lowerError ratio 0.70; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%Observed outcomes inside the band across all stored test windows.
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 97% of the 39 earlier readings since Q3 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
Q2 20264.56B USD
Q1 20264.36B USD
Q4 20254.69B USD
Q3 20253.92B USD
Q2 20254.14B USD
Q1 20253.96B USD
Q4 20244.27B USD
Q3 20243.64B USD
Q2 20243.79B USD
Q1 20243.63B USD
Q4 20233.87B USD
Q3 20233.30B USD
Q2 20233.67B USD
Q1 20233.43B USD
Q4 20223.82B USD
Q3 20223.11B USD
Q2 20223.37B USD
Q1 20223.20B USD
Q4 20213.49B USD
Q3 20212.80B USD
Q2 20213.31B USD
Q1 20213.12B USD
Q4 20203.10B USD
Q3 20202.73B USD

Source

Data: public market data feeds.

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