Unemployment rate in Ukraine: our forecast to 2035
Satoria cannot read a reliable direction for unemployment rate in Ukraine by 2035. 80% range 2.8% to 24.5%.
How far the evidence reaches
Limited evidence. Tests cover up to 5 years ahead (through 2030 from this reference), across 51 country series. Longer horizons extend beyond those tests. Colours show evidence, not certainty.
The full name of this series is Unemployment rate (unemployment rate, annual).
The path
- 2026: Satoria forecast 11.1% (80% range 8 to 15.4)
- 2027: Satoria forecast 10.9% (80% range 6.6 to 17.6)
- 2031: Satoria forecast 11.3% (80% range 4 to 23.2)
- 2035: Satoria forecast 10.9% (80% range 2.8 to 24.5)
Where it starts
The latest source value is 11.6% 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
Every forecast we have for Ukraine · Unemployment rate in every country
This forecast as data: https://satoria-pipeline-production.up.railway.app/api/forecast/imf.unemployment_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
A share of the workforce
Unemployment is the percentage of the labour force that is unemployed, not the percentage of all residents and not your personal chance of finding work. A change in participation or migration can change this rate without an equivalent change in the number of jobs.
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.
All stories · Countries · The map of the future · Why trust Satoria · Engine · About · Satoria vs the IMF · How accurate we are · Method · Indicators · For AI agents