Share of population living in rural areas in Montserrat

Montserrat: Share of population living in rural areas was 100.0% in 2020. ◆ Volatile

Latest (2020)
100.0%
World rank
1st
of 236 countries
All-time high
100.0%
in 2000
All-time low
4.1%
in 1950
Years of data
15
1950–2020

Share of population living in rural areas in Montserrat, 1950–2020

0204060801001950198520201950: 4.1 %1955: 5 %1960: 6.1 %1965: 7.4 %1970: 8.9 %1975: 10.3 %1980: 8.1 %1985: 8 %1990: 11.4 %1995: 14.5 %2000: 100 %2005: 100 %2010: 100 %2015: 100 %2020: 100 %

Source: European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Measured in %.

Analysis

Montserrat recorded 100.0% for share of population living in rural areas in 2020. That is the highest value across all 15 years on record.

Compared with earlier readings it is unchanged over ten years.

Over the whole period, share of population living in rural areas in Montserrat peaked at 100.0% in 2000 and was at its lowest, 4.1%, in 1950.

That places Montserrat 1st out of 236 countries with data for 2020, putting it in the top 10%.

The series is highly variable year to year, so single readings are best treated with caution.

Share of population living in rural areas in Montserrat, year by year

Annual values for Share of population living in rural areas in Montserrat, 1950 to 2020.
Year % Change
1950 4.1%
1955 5.0% +22.4%
1960 6.1% +22.2%
1965 7.4% +21.3%
1970 8.9% +20.6%
1975 10.3% +15.8%
1980 8.1% -20.8%
1985 8.0% -1.7%
1990 11.4% +42.9%
1995 14.5% +26.6%
2000 100.0% +590.8%
2005 100.0% +0.0%
2010 100.0% +0.0%
2015 100.0% +0.0%
2020 100.0% +0.0%

Averages by decade

DecadeAverage LowestHighest Years
1950s 4.5% 4.1% 5.0% 2
1960s 6.7% 6.1% 7.4% 2
1970s 9.6% 8.9% 10.3% 2
1980s 8.1% 8.0% 8.1% 2
1990s 13.0% 11.4% 14.5% 2
2000s 100.0% 100.0% 100.0% 2
2010s 100.0% 100.0% 100.0% 2
2020s 100.0% 100.0% 100.0% 1

Countries ranked near Montserrat

  1. 1 Anguilla 100.0% compare
  2. 1 Cook Islands 100.0% compare
  3. 1 Falkland Islands 100.0% compare
  4. 1 Niue 100.0% compare
  5. 1 Saint Helena 100.0% compare
  6. 1 Saint Pierre and Miquelon 100.0% compare
  7. 1 Tokelau 100.0% compare
  8. 1 Wallis and Futuna 100.0% compare

See the full ranking of 236 places →

More population data for Montserrat

All data for Montserrat →

Frequently asked questions

What is share of population living in rural areas in Montserrat?
Share of population living in rural areas in Montserrat was 100.0% 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 Montserrat?
The highest recorded value was 100.0% in 2000.
What is the lowest share of population living in rural areas recorded in Montserrat?
The lowest recorded value was 4.1% in 1950.
How does Montserrat rank for share of population living in rural areas?
Montserrat ranks 1st out of 236 countries with data for 2020.
Is share of population living in rural areas rising or falling in Montserrat?
Over the last ten years it is unchanged. The long-run trend across the full record is volatile.
Where does this Montserrat 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.

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Share of population living in rural areas in Montserrat. Statizoid, drawing on European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data. Retrieved 31 August 2026, from https://population.statizoid.com/stat/share-of-population-living-in-rural-areas/montserrat/

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About this data

Indicator
Share of population living in rural areas
Unit
%
Source
European Commission, Joint Research Centre (JRC) (2025) – with major processing by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
236 places, 3,540 data points, 1950–2020
Last refreshed

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.