Share of population living in cities, towns and rural areas in Martinique
Martinique: Share of population living in cities, towns and rural areas was 21.6% in 2020. ▼ Falling
Share of population living in cities, towns and rural areas in Martinique, 1950–2020
Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.
Analysis
The most recent figure for share of population living in cities, towns and rural areas in Martinique is 21.6%, measured in 2020. That is the lowest value across all 15 years on record.
That represents a change of down 20.4% over ten years.
Over the whole period, share of population living in cities, towns and rural areas in Martinique peaked at 39.1% in 1970 and was at its lowest, 21.6%, in 2020.
Martinique ranks 171st of 236 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 15 years of available data.
Share of population living in cities, towns and rural areas in Martinique, year by year
| Year | % | Change |
|---|---|---|
| 1950 | 30.3% | — |
| 1955 | 33.6% | +10.7% |
| 1960 | 36.6% | +8.9% |
| 1965 | 38.2% | +4.4% |
| 1970 | 39.1% | +2.4% |
| 1975 | 39.1% | -0.1% |
| 1980 | 38.6% | -1.3% |
| 1985 | 37.5% | -2.8% |
| 1990 | 35.1% | -6.2% |
| 1995 | 31.8% | -9.5% |
| 2000 | 29.4% | -7.6% |
| 2005 | 28.9% | -1.8% |
| 2010 | 27.1% | -6.1% |
| 2015 | 24.4% | -10.0% |
| 2020 | 21.6% | -11.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 32.0% | 30.3% | 33.6% | 2 |
| 1960s | 37.4% | 36.6% | 38.2% | 2 |
| 1970s | 39.1% | 39.1% | 39.1% | 2 |
| 1980s | 38.0% | 37.5% | 38.6% | 2 |
| 1990s | 33.5% | 31.8% | 35.1% | 2 |
| 2000s | 29.1% | 28.9% | 29.4% | 2 |
| 2010s | 25.7% | 24.4% | 27.1% | 2 |
| 2020s | 21.6% | 21.6% | 21.6% | 1 |
Countries ranked near Martinique
More population data for Martinique
- Population regions with projections, annual growth rate -0.4191 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate -46.17 % change on previous year (2050)
- Population long run with projections, annual growth rate -0.4191 % change on previous year (2100)
- Un population 2024 vs 2022, annual growth rate -0.9008 % change on previous year (2100)
- Demographic balances and indicators by type of projection and NUTS 3 0 % change on previous year (2100)
- Projected population under age 5, annual growth rate -0.4406 % change on previous year (2100)
- World population growth -0.4% (2100)
- Population density 197.93 people per km² (2100)
- Number of children under 5, by world region 9,038 people (2100)
- Population growth rate, by level of development -0.4% (2100)
Frequently asked questions
- What is share of population living in cities, towns and rural areas in Martinique?
- Share of population living in cities, towns and rural areas in Martinique was 21.6% 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 cities, towns and rural areas recorded in Martinique?
- The highest recorded value was 39.1% in 1970.
- What is the lowest share of population living in cities, towns and rural areas recorded in Martinique?
- The lowest recorded value was 21.6% in 2020.
- How does Martinique rank for share of population living in cities, towns and rural areas?
- Martinique ranks 171st out of 236 countries with data for 2020.
- Is share of population living in cities, towns and rural areas rising or falling in Martinique?
- Over the last ten years it is down 20.4%. The long-run trend across the full record is falling.
- Where does this Martinique 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 cities, towns and rural areas. Statizoid updates them automatically from the source API.
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About this data
Estimated share of the population living in cities. Cities are identified using satellite imagery and population data, applying the same definitions across countries.