Italy vs South Sudan: Share of population living in the capital city
Italy
4.0%
in 2020
South Sudan
3.2%
in 2020
Italy rank
155th
South Sudan rank
156th
Share of population living in the capital city over time
- Italy
- South Sudan
How they compare
Italy currently reports 4.0% against 3.2% in South Sudan, a difference of 0.8%.
That makes Italy's figure about 1.2 times South Sudan's.
The two have swapped places 2 times across 11 shared years of data; in 1970 it was Italy ahead.
Italy ranks 155th and South Sudan ranks 156th of 170 countries.
Across the 6 decades both report, Italy averaged higher in 5 and South Sudan in 1.
Head to head by decade
| Decade | Italy | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 3.5% | 2.1% | 1.4% | Italy |
| 1980s | 3.7% | 2.6% | 1.1% | Italy |
| 1990s | 3.9% | 3.1% | 0.8% | Italy |
| 2000s | 3.8% | 3.7% | 0.2% | Italy |
| 2010s | 3.8% | 3.9% | 0.1% | South Sudan |
| 2020s | 4.0% | 3.2% | 0.8% | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in the capital city, Italy or South Sudan?
- Italy, at 4.0% against 3.2% in South Sudan as of 2020.
- What is the difference in share of population living in the capital city between Italy and South Sudan?
- 0.8%, with Italy ahead.
- How many years of comparable data are there for Italy and South Sudan?
- 11 years are reported by both, from 1970 to 2020.
- How do Italy and South Sudan rank globally for share of population living in the capital city?
- Italy ranks 155th and South Sudan ranks 156th of 170 countries.
- Where does this data come from?
- European Commission, Joint Research Centre (JRC) (2025) – with minor processing by Our World in Data, published as Share of population living in the capital city. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Percentage of the total population living in the country's capital city. City boundaries are defined using a consistent global approach based on satellite imagery and population data.