Index of forest extent, Index in Senegal

Senegal: Index of forest extent, Index was 86.27 in 2023. ▼ Falling

Latest (2023)
86.27
Change on year
down 0.5%
World rank
181st
of 223 countries
All-time high
100
in 1992
All-time low
86.27
in 2023
Years of data
32
1992–2023

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

0204060801001992200720231992: 1001993: 99.51994: 991995: 98.51996: 981997: 97.61998: 97.11999: 96.62000: 96.12001: 95.72002: 95.32003: 94.82004: 94.42005: 942006: 93.62007: 93.22008: 92.72009: 92.32010: 91.92011: 91.52012: 912013: 90.62014: 90.22015: 89.72016: 89.32017: 88.92018: 88.42019: 882020: 87.62021: 87.12022: 86.72023: 86.3

Source: International Monetary Fund.

Analysis

In 2023, index of forest extent, index in Senegal stood at 86.27. That is the lowest value across all 32 years on record.

The figure is down 0.5% on the previous year and down 4.8% over ten years.

Over the whole period, index of forest extent, index in Senegal peaked at 100 in 1992 and was at its lowest, 86.27, in 2023.

That places Senegal 181st out of 223 countries with data for 2023, putting it in the bottom quarter.

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

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

Annual values for Index of forest extent, Index (Not Applicable) in Senegal, 1992 to 2023.
Year Value Change
1992 100 —
1993 99.51 -0.5%
1994 99.02 -0.5%
1995 98.53 -0.5%
1996 98.05 -0.5%
1997 97.56 -0.5%
1998 97.07 -0.5%
1999 96.58 -0.5%
2000 96.09 -0.5%
2001 95.67 -0.4%
2002 95.26 -0.4%
2003 94.84 -0.4%
2004 94.42 -0.4%
2005 94 -0.4%
2006 93.59 -0.4%
2007 93.17 -0.4%
2008 92.75 -0.4%
2009 92.33 -0.5%
2010 91.91 -0.5%
2011 91.48 -0.5%
2012 91.05 -0.5%
2013 90.61 -0.5%
2014 90.18 -0.5%
2015 89.74 -0.5%
2016 89.31 -0.5%
2017 88.87 -0.5%
2018 88.44 -0.5%
2019 88.01 -0.5%
2020 87.57 -0.5%
2021 87.14 -0.5%
2022 86.7 -0.5%
2023 86.27 -0.5%

Senegal compared with similar countries

  • Senegal's 86.27 is below the median for lower middle income countries, which is 92.62, 93% of the median. (46 countries reporting)
  • Senegal's 86.27 is below the median for Sub-Saharan Africa, which is 87.22, 99% of the median. (48 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 98.29 96.58 100 8
2000s 94.21 92.33 96.09 10
2010s 89.96 88.01 91.91 10
2020s 86.92 86.27 87.57 4

Countries ranked near Senegal

  1. 178 Ethiopia 88.16 compare
  2. 179 Bolivia 87.68 compare
  3. 180 North Korea 87.48 compare
  4. 182 United States Virgin Islands 85.81 compare
  5. 183 Sao Tome and Principe 85.44 compare
  6. 184 Ecuador 85.14 compare

See the full ranking of 235 places →

More climate change data for Senegal

All data for Senegal →

Frequently asked questions

What is index of forest extent, index in Senegal?
Index of forest extent, index in Senegal was 86.27 in 2023, according to International Monetary Fund.
What is the highest index of forest extent, index recorded in Senegal?
The highest recorded value was 100 in 1992.
What is the lowest index of forest extent, index recorded in Senegal?
The lowest recorded value was 86.27 in 2023.
How does Senegal rank for index of forest extent, index?
Senegal ranks 181st out of 223 countries with data for 2023.
Is index of forest extent, index rising or falling in Senegal?
Over the last ten years it is down 4.8%. The long-run trend across the full record is falling.
Where does this Senegal 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 Senegal. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/stat/index-of-forest-extent-index-not-applicable/senegal/

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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.