Sint Maarten (Dutch part): Forest area (% of land area)

Key figures

What the numbers say

From 2015 to 2024 there is no clear straight-line trend: a straight line explains less than 1% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

How it compares

In 2024, Sint Maarten (Dutch part) had the 170th highest value of the 209 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.

Closest to Sint Maarten (Dutch part) in the 2024 ranking

• Burundi — 166th of 209: 10.89%
• Namibia — 167th of 209: 9.77%
• Mongolia — 168th of 209: 9.1%
• Uzbekistan — 170th of 209: 8.79%
• Mali — 171st of 209: 8.67%
• Somalia, Fed. Rep. — 172nd of 209: 7.82%

What this measures

Forest area (% of land area) is the share of total land area that is under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.

Limitations: FAO has been collecting and analyzing data on forest area since 1946. This is done at intervals of 5-10 years as part of the Global Forest Resources Assessment (FRA). FAO reports data for 229 countries and territories; for the remaining 56 small island states and territories where no information is provided, a report is prepared by FAO using existing information and a literature search. The data are aggregated at sub-regional, regional and global levels by the FRA team at FAO, and estimates are produced by straight summation. The lag between the reference year and the actual production of data series as well as the frequency of data production varies between countries.

Regional and income-group figures are computed by the World Bank as a weighted average.

All 14 values

Forest area (% of land area) in nearby economies

• Antigua and Barbuda — 17.85% (2024)
• Argentina — 17.09% (2024)
• Aruba — 2.72% (2024)
• Bahamas, The — 50.94% (2024)
• Barbados — 14.62% (2024)
• Belize — 57.98% (2024)
• Bolivia — 50.19% (2024)
• Brazil — 58.55% (2024)
• British Virgin Islands — 66.03% (2024)
• Cayman Islands — 53% (2024)
• Chile — 24.48% (2024)

More environment data for Sint Maarten (Dutch part)

• Rural population — 0 (2025)
• Rural population (% of total population) — 0% (2025)
• Urban population — 43,923 (2025)
• Urban population (% of total population) — 100% (2025)
• Urban population growth (annual %) — 1.31% (2025)
• Surface area (sq. km) — 34 (2024)
• Access to electricity, urban (% of urban population) — 100% (2024)
• Access to electricity (% of population) — 100% (2024)
• Electricity production from renewable sources, excluding hydroelectric (kWh) — 0 (2021)

Reading data like this

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Questions people ask

What is Sint Maarten (Dutch part)'s forest area (% of land area)?

8.82% in 2024, according to the World Bank (World Development Indicators).

How has it changed since 2011?

It is unchanged since 2011. The highest value was 8.82% in 2011 and the lowest 8.82% in 2011.

How does Sint Maarten (Dutch part) rank?

170th highest of 209 economies with data for 2024.

Where does this data come from?

The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: FAOSTAT, Food and Agriculture Organization of the United Nations (FAO), uri: https://www.fao.org/faostat/en/#data/RL, publisher: Food and Agriculture Organization of the United Nations (FAO).

Source

World Bank, World Development Indicators, indicator AG.LND.FRST.ZS, licensed CC BY 4.0. Original source: FAOSTAT, Food and Agriculture Organization of the United Nations (FAO), uri: https://www.fao.org/faostat/en/#data/RL, publisher: Food and Agriculture Organization of the United Nations (FAO) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

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