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Live macro and micro economic signals, historical context and probabilistic forecasts — built to surface trends before they become consensus.

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World/Forecast/South Asia

Forecast

South Asia — macro forecast

Forward projections from the prediction engine — baseline plus an optimistic/pessimistic band and a confidence interval, per macro indicator. These are PROJECTIONS, not observations: generated from observed history, never a guarantee. A country we hold no projections for is shown honestly.

How to read this:Observeda real measured value from a named source.Derivedcomputed by Predictonomy from observed series using a reproducible method.AI readan AI interpretation of already-computed figures. Opinion, not a new data point.

Forecast

Forward projections

Need it as JSON? GET /api/v1/forecast/country/{iso3}.

Forecast heldDerivedledger 94b4664
Real GDP growth — 2026 baseline projection
7.7

South Asia: forward projections across 11 macro indicators, horizons 2026, 2028, 2030, 2035. These are projections, not observations — each carries an optimistic/pessimistic band and a confidence interval, anchored against the latest observed value where one is held.

Exports of goods and services

Weak track record · +6%

Nowcast

Where the data already points

Each indicator nowcast from its strongest leading series — inferable from observations already in hand.

Leading-indicator nowcastDerived

For each indicator, South Asia's strongest leading series is fit by ordinary least squares over their shared observed history, then the leader's already-observed recent values project the target — so the next year or two is inferable from data already in hand. These are nowcasts from a leading correlation: correlation, not causation, and not a guaranteed forecast.

Unemployment

moderate confidence

Led by GDP (current US$) by 3 years (it moves inversely tothe target; r = -0.697 over 35 obs).

YearNowcastImplied by GDP (current US$) in
20265.342023 (4.1T)

Latest observed21.04(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
202621.5124.6518.7920.72 – 22.3
202822.4627.8917.7520.6 – 24.31
203023.430.4117.3320.53 – 26.28
203525.7735.6817.1820.23 – 31.31

Blended 1-yr-ahead21.37· skill-weighted across models

Track record±4.73typical miss · 25 realized · 23% MAPE

Method: linear_trend; lookback 8y; horizon 1y; confidence 80%

Gross domestic product, current US dollars

Moderate track record · +35%

Latest observed4.6T(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20264.8T5.2T4.4T4.6T – 4.9T
20285.2T5.9T4.6T4.9T – 5.6T
20305.7T6.6T4.9T5.1T – 6.4T
20356.9T8.2T5.8T5.5T – 8.3T

Blended 1-yr-ahead4.8T· skill-weighted across models

Track record±323.3bntypical miss · 25 realized · 8% MAPE

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Real GDP growth

Below naive baseline · -13%

Latest observed7.12(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20267.712-3.165.49 – 9.91
20289.0612-9.765 – 12
203010.4112-104.91 – 12
20351212-103.47 – 12

Blended 1-yr-ahead8.03· skill-weighted across models

Track record±7.08typical miss · 25 realized · 109% MAPE

Method: weighted_composite; lookback 6y; horizon 1y; confidence 80%

GDP per capita, current US dollars

Moderate track record · +26%

Latest observed2.7k(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20262.8k3k2.6k2.7k – 2.9k
20283k3.5k2.7k2.8k – 3.3k
20303.3k3.8k2.8k2.9k – 3.7k
20353.9k4.7k3.2k3.1k – 4.7k

Blended 1-yr-ahead2.8k· skill-weighted across models

Track record±201.93typical miss · 25 realized · 9% MAPE

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Imports of goods and services

Weak track record · +2%

Latest observed23.46(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
202623.7428.7818.722.59 – 24.9
202824.333.0315.5721.8 – 26.8
203024.8636.1313.5921.15 – 28.57
203526.2542.1910.3219.61 – 32.89

Blended 1-yr-ahead23.74· skill-weighted across models

Track record±6.66typical miss · 25 realized · 29% MAPE

Method: linear_trend; lookback 8y; horizon 1y; confidence 80%

Consumer price inflation

Below naive baseline · -4%

Latest observed3.1(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20263.16.02-0.022.41 – 3.8
20282.247.28-3.171.01 – 3.46
20301.377.89-5-0.18 – 2.92
2035-0.88.42-5-3 – 1.41

Blended 1-yr-ahead2.54· skill-weighted across models

Track record±2.87typical miss · 4 realized · 83% MAPE

Method: exponential_smoothing; lookback 6y; horizon 1y; confidence 80%

Gross fixed capital formation to GDP

Below naive baseline · -6%

Latest observed31.04(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
202630.9633.7328.5730 – 31.92
202830.9235.7126.7828.64 – 33.21
203030.8837.0625.5327.38 – 34.39
203530.7839.5123.2124.4 – 37.17

Blended 1-yr-ahead31.21· skill-weighted across models

Track record±3.52typical miss · 25 realized · 11% MAPE

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Total population

Strong track record · +93%

Latest observed1.7bn(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20261.7bn1.8bn1.6bn1.6bn – 1.7bn
20281.7bn1.8bn1.6bn1.6bn – 1.8bn
20301.7bn1.8bn1.6bn1.5bn – 1.9bn
20351.8bn1.8bn1.7bn1.4bn – 2.1bn

Blended 1-yr-ahead1.7bn· skill-weighted across models

Track record±41.7mtypical miss · 25 realized · 3% MAPE

Method: exponential_smoothing; lookback 10y; horizon 1y; confidence 80%

Productivity growth

Below naive baseline · -6%

Latest observed5.61(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20266.4515-0.55.19 – 7.71
20288.5615-3.486.14 – 10.97
203010.6715-4.877.22 – 14.11
20351515-6.978.94 – 15

Blended 1-yr-ahead6.26· skill-weighted across models

Track record±4.75typical miss · 25 realized · 127% MAPE

Method: weighted_composite; lookback 7y; horizon 1y; confidence 80%

Reserves in months of imports

Below naive baseline · -5%

Latest observed7.72(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20267.8912.093.77.13 – 8.66
20288.115.370.836.6 – 9.6
20308.217.5906.11 – 10.29
20358.2821.5604.93 – 11.64

Blended 1-yr-ahead7.67· skill-weighted across models

Method: mean_reversion; lookback 10y; horizon 1y; confidence 80%

Unemployment rate

Below naive baseline · -6%

Latest observed4.24(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20263.564.812.313.31 – 3.8
20282.184.350.021.75 – 2.62
20300.813.600.3 – 1.32
203503.9500 – 0.76

Blended 1-yr-ahead3.88· skill-weighted across models

Track record±1.78typical miss · 20 realized · 40% MAPE

Method: linear_trend; lookback 6y; horizon 1y; confidence 80%

Reliability badges show each indicator's best model skill— how much it beats a naive last-value forecast, measured out-of-sample on that series' own observed history (backtested one-step-ahead). A track record, not a guarantee of future accuracy.

Generated by the prediction engine (model prediction-engine-v1) on 2026-08-02 from observed history. Projections, not observations — never a guarantee of future values.

Machine-readable: GET /api/v1/forecast/country/SAS · Country page → · Full brief → · API docs

20275.172024 (4.4T)
20285.052025 (4.6T)

Fit: Unemployment ≈ 7.6878 + 0·GDP (current US$). Correlation, not causation.

GDP (current US$)

moderate confidence

Led by Unemployment by 1 year (it moves inversely tothe target; r = -0.623 over 34 obs).

YearNowcastImplied by Unemployment in
20264.5T2025 (4.24)

Fit: GDP (current US$) ≈ 8757916384846.077 + -1000553374241.6932·Unemployment. Correlation, not causation.

Machine-readable: GET /api/v1/nowcast/country/SAS?indicator= · API docs