Young people out of work in Norway: our forecast to 2036
Satoria projects young people out of work in Norway at about 12.2% in 2036, from 13.6% recorded in 2026. 80% range 7.7% to 18%. Source values from Eurostat.
How far the evidence reaches
Beyond tested horizon. Tests cover up to 5 years ahead (through 2031 from this reference), across 20 country series. Longer horizons extend beyond those tests. Colours show evidence, not certainty.
The path
- 2027: Satoria forecast 12.9% (80% range 10.6 to 15.4)
- 2028: Satoria forecast 12.7% (80% range 9.6 to 16.2)
- 2032: Satoria forecast 12.3% (80% range 8.1 to 17.6)
- 2036: Satoria forecast 12.2% (80% range 7.7 to 18)
Where it starts
The latest source value is 13.6% recorded in 2026, published by Eurostat. Everything after that year is Satoria's forecast, with the range printed next to it.
The same measure elsewhere
- Young people out of work in United States
- Young people out of work in Germany
- Young people out of work in India
Every forecast we have for Norway · Young people out of work in every country
This forecast as data: https://satoria-pipeline-production.up.railway.app/api/forecast/eurostat.youth_unemployment_rate?country=NOR
Conditions and limits
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