Consumer prices (inflation) in Ukraine: our forecast to 2035
Satoria cannot read a reliable direction for consumer prices (inflation) in Ukraine by 2035. 80% range -530.6% to 801.8%.
How far the evidence reaches
Limited evidence. This measurement has no sufficiently calibrated test horizon on the record. Colour does not represent a probability.
The full name of this series is Consumer prices (inflation) (consumer price index, annual average).
The path
- 2026: Satoria forecast -34% (80% range -533.6 to 539.2)
- 2027: Satoria forecast -34.5% (80% range -532.8 to 534)
- 2031: Satoria forecast -31.8% (80% range -526.7 to 637.2)
- 2035: Satoria forecast -29.3% (80% range -530.6 to 801.8)
Where it starts
The latest source value is 12.7% recorded in 2025, published by International Monetary Fund - World Economic Outlook. Everything after that year is Satoria's forecast, with the range printed next to it.
The same measure elsewhere
- Consumer prices (inflation) in United States
- Consumer prices (inflation) in Germany
- Consumer prices (inflation) in India
Every forecast we have for Ukraine · Consumer prices (inflation) in every country
This forecast as data: https://satoria-pipeline-production.up.railway.app/api/forecast/imf.inflation_rate?country=UKR
Conditions and limits
War changes the conditions
A historical statistical path cannot tell us how the war will develop. Security, migration, mobilisation and reconstruction can change both employment and the size of the workforce. This forecast publishes no explicit war scenario. Read it as a conditional statistical projection, not a prediction of peace or recovery.
NBU: assumptions and risks, January 2026
What this number can establish
The published record supports a statistical projection and a model range. It does not establish why a future event will happen. Connections between measurements are predictive associations, not proof of causation. Source measurements, estimates and Satoria forecasts must be read separately.
The model range is not a guarantee. Historical test coverage is not the probability of the central forecast happening.
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