Italy vs Kazakhstan: Share of population living in urban and rural areas
Italy
76.8%
in 2020
Kazakhstan
76.7%
in 2020
Italy rank
97th
Kazakhstan rank
98th
Share of population living in urban and rural areas over time
- Italy
- Kazakhstan
How they compare
Italy currently reports 76.8% against 76.7% in Kazakhstan, a difference of 0.1%.
Across all 15 years both countries report, Italy has been ahead every year.
Italy ranks 97th and Kazakhstan ranks 98th of 236 countries.
Italy has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Italy | Kazakhstan | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 70.8% | 48.6% | 22.2% | Italy |
| 1960s | 72.1% | 56.9% | 15.2% | Italy |
| 1970s | 73.4% | 63.3% | 10.1% | Italy |
| 1980s | 74.3% | 65.2% | 9.1% | Italy |
| 1990s | 74.6% | 66.7% | 8.0% | Italy |
| 2000s | 75.1% | 70.3% | 4.8% | Italy |
| 2010s | 76.4% | 74.3% | 2.1% | Italy |
| 2020s | 76.8% | 76.7% | 0.1% | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in urban and rural areas, Italy or Kazakhstan?
- Italy, at 76.8% against 76.7% in Kazakhstan as of 2020.
- What is the difference in share of population living in urban and rural areas between Italy and Kazakhstan?
- 0.1%, with Italy ahead.
- How many years of comparable data are there for Italy and Kazakhstan?
- 15 years are reported by both, from 1950 to 2020.
- How do Italy and Kazakhstan rank globally for share of population living in urban and rural areas?
- Italy ranks 97th and Kazakhstan ranks 98th 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.