Index of forest extent, Index in Nigeria

Nigeria: Index of forest extent, Index was 80.68 in 2023. ▼ Falling

Latest (2023)
80.68
Change on year
down 0.8%
World rank
192nd
of 223 countries
All-time high
100
in 1992
All-time low
80.68
in 2023
Years of data
32
1992–2023

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

0204060801001992200720231992: 1001993: 99.41994: 98.81995: 98.11996: 97.51997: 96.91998: 96.31999: 95.62000: 952001: 94.42002: 93.82003: 93.12004: 92.52005: 91.92006: 91.32007: 90.72008: 902009: 89.42010: 88.82011: 88.22012: 87.52013: 86.92014: 86.32015: 85.72016: 852017: 84.42018: 83.82019: 83.22020: 82.52021: 81.92022: 81.32023: 80.7

Source: International Monetary Fund.

Analysis

In 2023, index of forest extent, index in Nigeria stood at 80.68. That is the lowest value across all 32 years on record.

Compared with earlier readings it is down 0.8% on the previous year and down 7.2% over ten years.

Over the whole period, index of forest extent, index in Nigeria peaked at 100 in 1992 and was at its lowest, 80.68, in 2023.

That places Nigeria 192nd 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 Nigeria, year by year

Annual values for Index of forest extent, Index (Not Applicable) in Nigeria, 1992 to 2023.
Year Value Change
1992 100 —
1993 99.38 -0.6%
1994 98.75 -0.6%
1995 98.13 -0.6%
1996 97.51 -0.6%
1997 96.88 -0.6%
1998 96.26 -0.6%
1999 95.64 -0.6%
2000 95.01 -0.7%
2001 94.39 -0.7%
2002 93.77 -0.7%
2003 93.14 -0.7%
2004 92.52 -0.7%
2005 91.9 -0.7%
2006 91.27 -0.7%
2007 90.65 -0.7%
2008 90.03 -0.7%
2009 89.4 -0.7%
2010 88.78 -0.7%
2011 88.16 -0.7%
2012 87.53 -0.7%
2013 86.91 -0.7%
2014 86.29 -0.7%
2015 85.66 -0.7%
2016 85.04 -0.7%
2017 84.42 -0.7%
2018 83.79 -0.7%
2019 83.17 -0.7%
2020 82.55 -0.7%
2021 81.92 -0.8%
2022 81.3 -0.8%
2023 80.68 -0.8%

Nigeria compared with similar countries

  • Nigeria's 80.68 is below the median for lower middle income countries, which is 92.62, 87% of the median. (46 countries reporting)
  • Nigeria's 80.68 is below the median for Sub-Saharan Africa, which is 87.22, 93% of the median. (48 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 97.82 95.64 100 8
2000s 92.21 89.4 95.01 10
2010s 85.98 83.17 88.78 10
2020s 81.61 80.68 82.55 4

Countries ranked near Nigeria

  1. 189 Democratic Republic of Congo 82.29 compare
  2. 190 Angola 82.26 compare
  3. 191 Argentina 81.08 compare
  4. 193 El Salvador 80.35 compare
  5. 194 Botswana 80.25 compare
  6. 195 Sierra Leone 80.19 compare

See the full ranking of 235 places →

More climate change data for Nigeria

All data for Nigeria →

Frequently asked questions

What is index of forest extent, index in Nigeria?
Index of forest extent, index in Nigeria was 80.68 in 2023, according to International Monetary Fund.
What is the highest index of forest extent, index recorded in Nigeria?
The highest recorded value was 100 in 1992.
What is the lowest index of forest extent, index recorded in Nigeria?
The lowest recorded value was 80.68 in 2023.
How does Nigeria rank for index of forest extent, index?
Nigeria ranks 192nd out of 223 countries with data for 2023.
Is index of forest extent, index rising or falling in Nigeria?
Over the last ten years it is down 7.2%. The long-run trend across the full record is falling.
Where does this Nigeria 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 Nigeria. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/stat/index-of-forest-extent-index-not-applicable/nigeria/

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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.