Index of forest extent, Index in Palau

Palau: Index of forest extent, Index was 108.36 in 2023. ▲ Rising

Latest (2023)
108.36
Change on year
up 0.2%
World rank
49th
of 223 countries
All-time high
108.36
in 2023
All-time low
100
in 1992
Years of data
32
1992–2023

Index of forest extent, Index in Palau, 1992–2023

02550751001992200720231992: 1001993: 100.41994: 100.71995: 101.11996: 101.51997: 101.91998: 102.21999: 102.62000: 1032001: 103.22002: 103.52003: 103.72004: 1042005: 104.32006: 104.52007: 104.82008: 1052009: 105.32010: 105.52011: 105.82012: 1062013: 106.22014: 106.42015: 106.62016: 106.92017: 107.12018: 107.32019: 107.52020: 107.72021: 107.92022: 108.22023: 108.4

Source: International Monetary Fund.

Analysis

The most recent figure for index of forest extent, index in Palau is 108.36, measured in 2023. That is the highest value across all 32 years on record.

The figure is up 0.2% on the previous year and up 2.0% over ten years.

Over the whole period, index of forest extent, index in Palau peaked at 108.36 in 2023 and was at its lowest, 100, in 1992.

That places Palau 49th out of 223 countries with data for 2023, putting it in the top quarter.

The long-run direction has been consistently rising across the 32 years of available data.

Index of forest extent, Index in Palau, year by year

Annual values for Index of forest extent, Index (Not Applicable) in Palau, 1992 to 2023.
Year Value Change
1992 100 —
1993 100.37 +0.4%
1994 100.74 +0.4%
1995 101.12 +0.4%
1996 101.49 +0.4%
1997 101.86 +0.4%
1998 102.23 +0.4%
1999 102.6 +0.4%
2000 102.98 +0.4%
2001 103.23 +0.2%
2002 103.49 +0.2%
2003 103.74 +0.2%
2004 104 +0.2%
2005 104.25 +0.2%
2006 104.51 +0.2%
2007 104.76 +0.2%
2008 105.02 +0.2%
2009 105.27 +0.2%
2010 105.53 +0.2%
2011 105.75 +0.2%
2012 105.97 +0.2%
2013 106.2 +0.2%
2014 106.42 +0.2%
2015 106.64 +0.2%
2016 106.88 +0.2%
2017 107.09 +0.2%
2018 107.32 +0.2%
2019 107.53 +0.2%
2020 107.74 +0.2%
2021 107.95 +0.2%
2022 108.15 +0.2%
2023 108.36 +0.2%

Palau compared with similar countries

  • Palau's 108.36 is above the median for high income countries, which is 101.93, 1.1× the median. (76 countries reporting)
  • Palau's 108.36 is above the median for East Asia & Pacific, which is 99.55, 1.1× the median. (34 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 101.3 100 102.6 8
2000s 104.12 102.98 105.27 10
2010s 106.53 105.53 107.53 10
2020s 108.05 107.74 108.36 4

Countries ranked near Palau

  1. 46 Tunisia 109.03 compare
  2. 47 Romania 108.78 compare
  3. 48 North Macedonia 108.73 compare
  4. 50 Eswatini 108.12 compare
  5. 51 Bhutan 108.09 compare
  6. 52 Djibouti 107.92 compare

See the full ranking of 235 places →

More climate change data for Palau

All data for Palau →

Frequently asked questions

What is index of forest extent, index in Palau?
Index of forest extent, index in Palau was 108.36 in 2023, according to International Monetary Fund.
What is the highest index of forest extent, index recorded in Palau?
The highest recorded value was 108.36 in 2023.
What is the lowest index of forest extent, index recorded in Palau?
The lowest recorded value was 100 in 1992.
How does Palau rank for index of forest extent, index?
Palau ranks 49th out of 223 countries with data for 2023.
Is index of forest extent, index rising or falling in Palau?
Over the last ten years it is up 2.0%. The long-run trend across the full record is rising.
Where does this Palau data come from?
The figures come from International Monetary Fund, published as part of Index of forest extent, Index (Not Applicable). Statizoid updates them automatically from the source API.

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Index of forest extent, Index in Palau. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/stat/index-of-forest-extent-index-not-applicable/palau/

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About this data

Indicator
Index of forest extent, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
235 places, 7,488 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.