Bangladesh vs Croatia: Forest area, 1000 Hectares

Bangladesh
1,883
in 2023
Croatia
1,947
in 2023
Bangladesh rank
115th
Croatia rank
113th

Forest area, 1000 Hectares over time

  • Bangladesh
  • Croatia
05001.0k1.5k2.0k199220072023

How they compare

Croatia currently reports 1,947 against 1,883 in Bangladesh, a difference of 64.

The two have swapped places 1 time across 32 shared years of data; in 1992 it was Bangladesh ahead.

Bangladesh ranks 115th and Croatia ranks 113th of 224 countries.

Across the 4 decades both report, Bangladesh averaged higher in 2 and Croatia in 2.

Head to head by decade

Decade Bangladesh Croatia Difference Ahead
1990s 1,920 1,869 51.08 Bangladesh
2000s 1,906 1,901 5.18 Bangladesh
2010s 1,885 1,925 40.36 Croatia
2020s 1,883 1,943 59.46 Croatia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Bangladesh or Croatia?
Croatia, at 1,947 against 1,883 in Bangladesh as of 2023.
What is the difference in forest area, 1000 hectares between Bangladesh and Croatia?
64, with Croatia ahead.
How many years of comparable data are there for Bangladesh and Croatia?
32 years are reported by both, from 1992 to 2023.
How do Bangladesh and Croatia rank globally for forest area, 1000 hectares?
Bangladesh ranks 115th and Croatia ranks 113th of 224 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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Bangladesh vs Croatia: Forest area, 1000 Hectares. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/forest-area-1000-hectares-not-applicable/bangladesh/croatia/

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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.