Mexico vs Oceania: Forest area, 1000 Hectares

Mexico
65,309
in 2023
Oceania
185,222
in 2023
Mexico rank
11th
Oceania rank
11th

Forest area, 1000 Hectares over time

  • Mexico
  • Oceania
050.0k100.0k150.0k200.0k199220072023

How they compare

Oceania currently reports 185,222 against 65,309 in Mexico, a difference of 119,913.

That makes Oceania's figure about 2.8 times Mexico's.

Across all 32 years both countries report, Oceania has been ahead every year.

Mexico ranks 11th and Oceania ranks 11th of 225 countries.

Oceania has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Mexico Oceania Difference Ahead
1990s 69,376 184,069 114,693 Oceania
2000s 67,734 182,287 114,553 Oceania
2010s 66,387 183,752 117,365 Oceania
2020s 65,500 185,234 119,734 Oceania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Mexico or Oceania?
Oceania, at 185,222 against 65,309 in Mexico as of 2023.
What is the difference in forest area, 1000 hectares between Mexico and Oceania?
119,913, with Oceania ahead.
How many years of comparable data are there for Mexico and Oceania?
32 years are reported by both, from 1992 to 2023.
How do Mexico and Oceania rank globally for forest area, 1000 hectares?
Mexico ranks 11th and Oceania ranks 11th of 225 countries.
Where does this data come from?
International Monetary Fund, published as Forest area, 1000 Hectares (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Mexico vs Oceania: Forest area, 1000 Hectares. Statizoid, drawing on International Monetary Fund. Retrieved 18 August 2026, from https://climate.statizoid.com/compare/forest-area-1000-hectares-not-applicable/mexico/oceania/

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About this data

Indicator
Forest area, 1000 Hectares (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
236 places, 7,520 data points, 1992–2023
Last refreshed

This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.