Share of population living in rural areas in Sint Maarten (Dutch part)
Sint Maarten (Dutch part): Share of population living in rural areas was 3.2% in 2020. ◆ Volatile
Share of population living in rural areas in Sint Maarten (Dutch part), 1950–2020
Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.
Analysis
Sint Maarten (Dutch part) recorded 3.2% for share of population living in rural areas in 2020. That is the lowest value across all 15 years on record.
Compared with earlier readings it is down 38.4% over ten years.
Over the whole period, share of population living in rural areas in Sint Maarten (Dutch part) peaked at 100.0% in 1950 and was at its lowest, 3.2%, in 2020.
Sint Maarten (Dutch part) ranks 226th of 236 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Share of population living in rural areas in Sint Maarten (Dutch part), year by year
| Year | % | Change |
|---|---|---|
| 1950 | 100.0% | — |
| 1955 | 100.0% | +0.0% |
| 1960 | 100.0% | +0.0% |
| 1965 | 100.0% | +0.0% |
| 1970 | 100.0% | +0.0% |
| 1975 | 100.0% | +0.0% |
| 1980 | 43.4% | -56.6% |
| 1985 | 9.4% | -78.2% |
| 1990 | 6.6% | -30.4% |
| 1995 | 6.5% | -0.9% |
| 2000 | 6.7% | +2.3% |
| 2005 | 5.9% | -11.6% |
| 2010 | 5.2% | -12.2% |
| 2015 | 4.8% | -8.1% |
| 2020 | 3.2% | -32.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 100.0% | 100.0% | 100.0% | 2 |
| 1960s | 100.0% | 100.0% | 100.0% | 2 |
| 1970s | 100.0% | 100.0% | 100.0% | 2 |
| 1980s | 26.4% | 9.4% | 43.4% | 2 |
| 1990s | 6.5% | 6.5% | 6.6% | 2 |
| 2000s | 6.3% | 5.9% | 6.7% | 2 |
| 2010s | 5.0% | 4.8% | 5.2% | 2 |
| 2020s | 3.2% | 3.2% | 3.2% | 1 |
Countries ranked near Sint Maarten (Dutch part)
More population data for Sint Maarten (Dutch part)
- Un population 2024 vs 2022, annual growth rate -0.8886 % change on previous year (2100)
- Population long run with projections, annual growth rate -0.7206 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate 0 % change on previous year (2050)
- Population regions with projections, annual growth rate -0.7206 % change on previous year (2100)
- Population growth rate, by level of development -0.7% (2100)
- Number of children under 5, by world region 1,638 people (2100)
- Population density 1,244 people per km² (2100)
- World population growth -0.7% (2100)
- Projected population under age 5, annual growth rate -0.7273 % change on previous year (2100)
- Urban and rural population 2050, per capita 0 units per person (2025)
Frequently asked questions
- What is share of population living in rural areas in Sint Maarten (Dutch part)?
- Share of population living in rural areas in Sint Maarten (Dutch part) was 3.2% in 2020, according to European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data.
- What is the highest share of population living in rural areas recorded in Sint Maarten (Dutch part)?
- The highest recorded value was 100.0% in 1950.
- What is the lowest share of population living in rural areas recorded in Sint Maarten (Dutch part)?
- The lowest recorded value was 3.2% in 2020.
- How does Sint Maarten (Dutch part) rank for share of population living in rural areas?
- Sint Maarten (Dutch part) ranks 226th out of 236 countries with data for 2020.
- Is share of population living in rural areas rising or falling in Sint Maarten (Dutch part)?
- Over the last ten years it is down 38.4%. The long-run trend across the full record is volatile.
- Where does this Sint Maarten (Dutch part) data come from?
- The figures come from European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data, published as part of Share of population living in rural areas. Statizoid updates them automatically from the source API.
Download this data
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About this data
Estimated share of the population living in rural areas. Rural areas are identified using satellite imagery and population data, applying the same definitions across countries.