Mobile phone lines per 100 people in South Korea: our forecast to 2034
Satoria projects mobile phone lines per 100 people in South Korea at about 199.7 per 100 people in 2034, from 172.5 per 100 people recorded in 2024.
How far the evidence reaches
Beyond tested horizon. Tests cover up to 5 years ahead (through 2029 from this reference), across 63 country series. Longer horizons extend beyond those tests. Colours show evidence, not certainty.
The full name of this series is Mobile phone lines per 100 people (mobile cellular subscriptions per 100 people).
The path
- 2025: Satoria forecast 178.1 per 100 people (80% range 169.4 to 186.5)
- 2026: Satoria forecast 181.5 per 100 people (80% range 168.3 to 193.8)
- 2030: Satoria forecast 191.2 per 100 people (80% range 163.5 to 216.9)
- 2034: Satoria forecast 199.7 per 100 people (80% range 160.4 to 230.5)
Where it starts
The latest source value is 172.5 per 100 people recorded in 2024, 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
- Mobile phone lines per 100 people in United States
- Mobile phone lines per 100 people in Germany
- Mobile phone lines per 100 people in India
Every forecast we have for South Korea · Mobile phone lines per 100 people in every country
This forecast as data: https://satoria-pipeline-production.up.railway.app/api/forecast/wb.mobile_subscriptions_per_100?country=KOR
Conditions and limits
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