Unemployment rate in Angola: our forecast to 2035
Satoria projects unemployment rate in Angola at about 14.1 modeled ILO estimate in 2035, from 14.1 modeled ILO estimate recorded in 2025.
How far the evidence reaches
Beyond tested horizon. Tests cover up to 5 years ahead (through 2030 from this reference), across 65 country series. Longer horizons extend beyond those tests. Colours show evidence, not certainty.
The path
- 2026: Satoria forecast 14.1 modeled ILO estimate (80% range 13.8 to 14.3)
- 2027: Satoria forecast 14.1 modeled ILO estimate (80% range 13.6 to 14.4)
- 2031: Satoria forecast 14.2 modeled ILO estimate (80% range 13.1 to 14.7)
- 2035: Satoria forecast 14.1 modeled ILO estimate (80% range 12.7 to 14.8)
Where it starts
The latest source value is 14.1 modeled ILO estimate recorded in 2025, published by World Bank - World Development Indicators. Everything after that year is Satoria's forecast, with the range printed next to it.
The same measure elsewhere
Every forecast we have for Angola · Unemployment rate in every country
This forecast as data: https://satoria-pipeline-production.up.railway.app/api/forecast/wb.unemployment_rate?country=AGO
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