Kenya vs Libya: Share of population living in urban and rural areas
Kenya
75.3%
in 2020
Libya
75.4%
in 2020
Kenya rank
111th
Libya rank
110th
Share of population living in urban and rural areas over time
- Kenya
- Libya
How they compare
Libya currently reports 75.4% against 75.3% in Kenya, a difference of 0.1%.
Across all 15 years both countries report, Libya has been ahead every year.
Kenya ranks 111th and Libya ranks 110th of 236 countries.
Libya has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Kenya | Libya | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 23.9% | 51.3% | 27.3% | Libya |
| 1960s | 29.8% | 57.8% | 28.0% | Libya |
| 1970s | 37.7% | 64.6% | 26.9% | Libya |
| 1980s | 47.0% | 68.1% | 21.1% | Libya |
| 1990s | 56.9% | 71.6% | 14.7% | Libya |
| 2000s | 63.4% | 74.3% | 10.9% | Libya |
| 2010s | 70.7% | 75.2% | 4.5% | Libya |
| 2020s | 75.3% | 75.4% | 0.1% | Libya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Kenya or Libya?
- Libya, at 75.4% against 75.3% in Kenya as of 2020.
- What is the difference in share of population living in urban and rural areas between Kenya and Libya?
- 0.1%, with Libya ahead.
- How many years of comparable data are there for Kenya and Libya?
- 15 years are reported by both, from 1950 to 2020.
- How do Kenya and Libya rank globally for share of population living in urban and rural areas?
- Kenya ranks 111th and Libya ranks 110th of 236 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data, published as Share of population living in urban and rural areas. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Estimated share of the population living in urban areas (the sum of cities and towns and suburbs). Urban areas are identified using satellite imagery and population data, applying the same definitions across countries.