Share of urban population who live in the largest city in Suriname
Suriname: Share of urban population who live in the largest city was 56.8% in 2020. ▲ Rising
Share of urban population who live in the largest city in Suriname, 1965–2020
Source: European Commission, Joint Research Centre (JRC) (2025) – with minor processing by Our World in Data. Measured in %.
Analysis
In 2020, share of urban population who live in the largest city in Suriname stood at 56.8%.
The figure is down 6.4% over ten years.
Over the whole period, share of urban population who live in the largest city in Suriname peaked at 67.2% in 2000 and was at its lowest, 34.5%, in 1965.
Suriname ranks 18th of 179 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 12 years of available data.
Share of urban population who live in the largest city in Suriname, year by year
| Year | % | Change |
|---|---|---|
| 1965 | 34.5% | — |
| 1970 | 36.8% | +6.5% |
| 1975 | 38.3% | +4.3% |
| 1980 | 58.3% | +52.2% |
| 1985 | 62.5% | +7.2% |
| 1990 | 64.6% | +3.3% |
| 1995 | 66.6% | +3.1% |
| 2000 | 67.2% | +0.9% |
| 2005 | 63.4% | -5.6% |
| 2010 | 60.7% | -4.4% |
| 2015 | 57.1% | -5.9% |
| 2020 | 56.8% | -0.5% |
Suriname compared with similar countries
- Suriname's 56.8% is above the median for upper middle income countries, which is 25.9%, 2.2× the median. (47 countries reporting)
- Suriname's 56.8% is above the median for Latin America & Caribbean, which is 30.3%, 1.9× the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 34.5% | 34.5% | 34.5% | 1 |
| 1970s | 37.5% | 36.8% | 38.3% | 2 |
| 1980s | 60.4% | 58.3% | 62.5% | 2 |
| 1990s | 65.6% | 64.6% | 66.6% | 2 |
| 2000s | 65.3% | 63.4% | 67.2% | 2 |
| 2010s | 58.9% | 57.1% | 60.7% | 2 |
| 2020s | 56.8% | 56.8% | 56.8% | 1 |
Countries ranked near Suriname
More population data for Suriname
- Un population 2024 vs 2022, annual growth rate -0.3304 % change on previous year (2100)
- Population long run with projections, annual growth rate -0.3455 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate -2.67 % change on previous year (2050)
- Population regions with projections, annual growth rate -0.3455 % change on previous year (2100)
- Population growth rate, by level of development -0.4% (2100)
- Number of children under 5, by world region 34,218 people (2100)
- Population density 4.54 people per km² (2100)
- World population growth -0.4% (2100)
- Projected population under age 5, annual growth rate -0.6331 % change on previous year (2100)
- Africa's Development Dynamics (AfDD) Table 03 - Annual population 0.7378 Percent per annum (2030)
Frequently asked questions
- What is share of urban population who live in the largest city in Suriname?
- Share of urban population who live in the largest city in Suriname was 56.8% in 2020, according to European Commission, Joint Research Centre (JRC) (2025) – with minor processing by Our World in Data.
- What is the highest share of urban population who live in the largest city recorded in Suriname?
- The highest recorded value was 67.2% in 2000.
- What is the lowest share of urban population who live in the largest city recorded in Suriname?
- The lowest recorded value was 34.5% in 1965.
- How does Suriname rank for share of urban population who live in the largest city?
- Suriname ranks 18th out of 179 countries with data for 2020.
- Is share of urban population who live in the largest city rising or falling in Suriname?
- Over the last ten years it is down 6.4%. The long-run trend across the full record is rising.
- Where does this Suriname data come from?
- The figures come from European Commission, Joint Research Centre (JRC) (2025) – with minor processing by Our World in Data, published as part of Share of urban population who live in the largest city. Statizoid updates them automatically from the source API.
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About this data
Percentage of the urban population living in the country's largest city (by population). City boundaries are defined using a consistent global approach based on satellite imagery and population data.