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World/Forecast/Comoros

Forecast

Comoros — 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 51018ed
Real GDP growth — 2026 baseline projection
4.12

Comoros: forward projections across 15 macro indicators, horizons 2024, 2026, 2028, 2030, 2033, 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.

Current account balance to GDP

Below naive baseline · -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, Comoros'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

high confidence

Led by GDP (current US$) by 1 year (it moves inversely tothe target; r = -0.859 over 35 obs).

YearNowcastImplied by GDP (current US$) in
20263.632025 (1.8bn)

Latest observed-6.1(2026)· IMF DataMapper API

YearBaselineOptimisticPessimisticConf. band
2026-0.191.89-2.26-0.63 – 0.25
20280.444.03-3.15-0.34 – 1.22
20301.075.7-3.570.03 – 2.1
20352.639.19-3.930.87 – 4.39

Blended 1-yr-ahead-6.52· skill-weighted across models

Track record±5.91typical miss · 1 realized · 97% MAPE

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

Exports of goods and services

Weak track record · +9%

Latest observed9.3(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20268.9916.262.697.81 – 10.17
20288.3720.9606.17 – 10.57
20307.7524.0104.81 – 10.69
20356.229.1901.92 – 10.47

Blended 1-yr-ahead9.62· skill-weighted across models

Track record±0.35typical miss · 1 realized · 4% MAPE

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

Gross domestic product, current US dollars

Weak track record · +7%

Latest observed1.8bn(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20261.9bn2.1bn1.8bn1.9bn – 2bn
20282.2bn2.5bn1.9bn2bn – 2.4bn
20302.5bn2.9bn2.1bn2.2bn – 2.8bn
20353.2bn3.7bn2.7bn2.5bn – 3.8bn

Blended 1-yr-ahead1.8bn· skill-weighted across models

Track record±200.2mtypical miss · 1 realized · 12% MAPE

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

Real GDP growth

Below naive baseline · -8%

Latest observed3.75(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20264.125.692.753.79 – 4.45
202857.732.634.3 – 5.69
20305.889.42.824.82 – 6.93
20358.07123.765.95 – 10.19

Blended 1-yr-ahead2.94· skill-weighted across models

Track record±1.22typical miss · 1 realized · 42% MAPE

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

GDP per capita, current US dollars

Below naive baseline · -2%

Latest observed2.1k(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20262.2k2.4k2k2.1k – 2.2k
20282.4k2.8k2.1k2.2k – 2.6k
20302.7k3.1k2.3k2.4k – 3k
20353.3k3.9k2.8k2.6k – 4k

Blended 1-yr-ahead1.9k· skill-weighted across models

Track record±300.6typical miss · 1 realized · 16% MAPE

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

General government debt to GDP

Moderate track record · +34%

Latest observed34.7(2026)· IMF DataMapper API

YearBaselineOptimisticPessimisticConf. band
202632.4536.5327.7531.31 – 33.6
202836.3643.4128.2233.53 – 39.19
203040.2649.3729.7535.64 – 44.89
203550.0362.9135.1639.65 – 60.4

Blended 1-yr-ahead36.06· skill-weighted across models

Track record±2.25typical miss · 1 realized · 6% MAPE

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

Imports of goods and services

Weak track record · +9%

Latest observed31.59(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
202632.1637.9826.3330.75 – 33.56
202833.2943.3823.2130.15 – 36.44
203034.4347.4521.4129.68 – 39.18
203537.2855.6918.8628.49 – 46.06

Blended 1-yr-ahead31.93· skill-weighted across models

Track record±4.04typical miss · 1 realized · 13% MAPE

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

Consumer price inflation

Below naive baseline · -12%

Latest observed3.25(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20262.8415.29-50.03 – 5.65
20280.3221.88-5-4.51 – 5.14
2030-2.2125.64-5-5 – 4.14
2035-534.38-5-5 – 4.53

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

Track record±1.16typical miss · 1 realized · 29% MAPE

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

Gross fixed capital formation to GDP

Below naive baseline · 0%

Latest observed11.85(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
202611.7514.649.2411.15 – 12.35
202811.4816.487.1410.21 – 12.74
203011.217.665.69.38 – 13.02
203510.5219.662.67.53 – 13.51

Blended 1-yr-ahead11.7· skill-weighted across models

Track record±0.46typical miss · 1 realized · 4% MAPE

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

Total population

Strong track record · +84%

Latest observed882.8k(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
2026878.5k920k840k851.3k – 905.8k
2028896.4k938.7k857k830.1k – 962.7k
2030914.2k957.4k874.1k810.4k – 1m
2035958.8k1m916.7k759.9k – 1.2m

Blended 1-yr-ahead946.4k· skill-weighted across models

Track record±51.5ktypical miss · 1 realized · 6% MAPE

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

Productivity growth

Below naive baseline · -11%

Latest observed0.75(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20261.353.76-0.461.03 – 1.67
20282.857.02-0.292.19 – 3.5
20304.349.730.33.32 – 5.36
20358.08152.365.84 – 10.33

Blended 1-yr-ahead1.31· skill-weighted across models

Track record±1.23typical miss · 1 realized · 164% MAPE

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

Total reserves (excluding gold)

Weak track record · +2%

Latest observed406.5m(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
2026432.1m521m343.2m411.6m – 452.6m
2028496.6m650.6m342.7m449.2m – 544m
2030561.2m759.9m362.4m485.9m – 636.5m
2035722.5m1bn441.5m563.9m – 881.2m

Blended 1-yr-ahead432m· skill-weighted across models

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

Reserves in months of imports

Below naive baseline · -6%

Latest observed7.61(2023)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20247.6611.43.936.97 – 8.36
20267.7314.21.256.37 – 9.09
20287.7616.1205.86 – 9.66
20337.7819.6104.73 – 10.84

Blended 1-yr-ahead7.76· skill-weighted across models

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

Total reserves (including gold)

Weak track record · +2%

Latest observed409.1m(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
2026434.9m524.1m345.7m414.3m – 455.5m
2028500.2m654.7m345.6m452.5m – 547.8m
2030565.4m764.9m365.9m489.7m – 641.2m
2035728.6m1bn446.4m568.8m – 888.4m

Blended 1-yr-ahead434.7m· skill-weighted across models

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

Unemployment rate

Below naive baseline · -5%

Latest observed3.82(2025)· World Bank Indicators API

YearBaselineOptimisticPessimisticConf. band
20263.684.063.293.56 – 3.79
20283.394.052.733.12 – 3.65
20303.13.952.252.72 – 3.48
20352.383.591.181.82 – 2.95

Blended 1-yr-ahead3.74· skill-weighted across models

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 2026-10-31 from observed history. Projections, not observations — never a guarantee of future values.

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

Fit: Unemployment ≈ 4.8301 + 0·GDP (current US$). Correlation, not causation.

GDP (current US$)

high confidence

Led by Unemployment by 1 year (it moves inversely tothe target; r = -0.835 over 34 obs).

YearNowcastImplied by Unemployment in
20261.5bn2025 (3.82)

Fit: GDP (current US$) ≈ 6066136260.8511 + -1208253056.7259·Unemployment. Correlation, not causation.

Govt debt / GDP

high confidence

Led by GDP (current US$) by 2 years (it moves inversely tothe target; r = -0.799 over 42 obs).

YearNowcastImplied by GDP (current US$) in
2026-21.062024 (1.6bn)
2027-38.322025 (1.8bn)

Fit: Govt debt / GDP ≈ 114.5828 + 0·GDP (current US$). Correlation, not causation.

Current account / GDP

moderate confidence

Led by Govt debt / GDP by 1 year (it moves inversely tothe target; r = -0.684 over 41 obs).

YearNowcastImplied by Govt debt / GDP in
2026-2.192025 (30.5)

Fit: Current account / GDP ≈ -0.2542 + -0.0636·Govt debt / GDP. Correlation, not causation.

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