Malta vs Niger: Share of population living in cities with more than 1 million residents
Malta
0.0%
in 2020
Niger
5.6%
in 2020
Malta rank
126th
Niger rank
123rd
Share of population living in cities with more than 1 million residents over time
- Malta
- Niger
How they compare
Niger currently reports 5.6% against 0.0% in Malta, a difference of 5.6%.
Across all 13 years both countries report, Niger has been ahead every year.
Malta ranks 126th and Niger ranks 123rd of 180 countries.
Niger has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Malta | Niger | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.0% | 0.0% | 0.0% | — |
| 1970s | 0.0% | 0.0% | 0.0% | — |
| 1980s | 0.0% | 0.0% | 0.0% | — |
| 1990s | 0.0% | 0.0% | 0.0% | — |
| 2000s | 0.0% | 0.0% | 0.0% | — |
| 2010s | 0.0% | 6.0% | 6.0% | Niger |
| 2020s | 0.0% | 5.6% | 5.6% | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of population living in cities with more than 1 million residents, Malta or Niger?
- Niger, at 5.6% against 0.0% in Malta as of 2020.
- What is the difference in share of population living in cities with more than 1 million residents between Malta and Niger?
- 5.6%, with Niger ahead.
- How many years of comparable data are there for Malta and Niger?
- 13 years are reported by both, from 1960 to 2020.
- How do Malta and Niger rank globally for share of population living in cities with more than 1 million residents?
- Malta ranks 126th and Niger ranks 123rd of 180 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 cities with more than 1 million residents. 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 cities with 1 million or more people. City boundaries are defined using a consistent global approach based on satellite imagery and population data.