Index of forest extent, Index in South Korea
South Korea: Index of forest extent, Index was 95.73 in 2023. ▬ Flat
Index of forest extent, Index in South Korea, 1992–2023
Source: International Monetary Fund.
Analysis
South Korea recorded 95.73 for index of forest extent, index in 2023. That is the lowest value across all 32 years on record.
Compared with earlier readings it is down 0.2% on the previous year and down 1.6% over ten years.
Over the whole period, index of forest extent, index in South Korea peaked at 100 in 1992 and was at its lowest, 95.73, in 2023.
South Korea ranks 147th of 223 countries on this measure, in the middle of the range.
Index of forest extent, Index in South Korea, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 100 | — |
| 1993 | 99.89 | -0.1% |
| 1994 | 99.77 | -0.1% |
| 1995 | 99.66 | -0.1% |
| 1996 | 99.54 | -0.1% |
| 1997 | 99.43 | -0.1% |
| 1998 | 99.31 | -0.1% |
| 1999 | 99.2 | -0.1% |
| 2000 | 99.08 | -0.1% |
| 2001 | 98.95 | -0.1% |
| 2002 | 98.81 | -0.1% |
| 2003 | 98.67 | -0.1% |
| 2004 | 98.54 | -0.1% |
| 2005 | 98.4 | -0.1% |
| 2006 | 98.27 | -0.1% |
| 2007 | 98.13 | -0.1% |
| 2008 | 97.99 | -0.1% |
| 2009 | 97.86 | -0.1% |
| 2010 | 97.72 | -0.1% |
| 2011 | 97.57 | -0.2% |
| 2012 | 97.41 | -0.2% |
| 2013 | 97.26 | -0.2% |
| 2014 | 97.11 | -0.2% |
| 2015 | 96.96 | -0.2% |
| 2016 | 96.77 | -0.2% |
| 2017 | 96.65 | -0.1% |
| 2018 | 96.5 | -0.2% |
| 2019 | 96.34 | -0.2% |
| 2020 | 96.19 | -0.2% |
| 2021 | 96.04 | -0.2% |
| 2022 | 95.88 | -0.2% |
| 2023 | 95.73 | -0.2% |
South Korea compared with similar countries
- South Korea's 95.73 is below the median for high income countries, which is 101.93, 94% of the median. (76 countries reporting)
- South Korea's 95.73 is below the median for East Asia & Pacific, which is 99.55, 96% of the median. (34 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 99.6 | 99.2 | 100 | 8 |
| 2000s | 98.47 | 97.86 | 99.08 | 10 |
| 2010s | 97.03 | 96.34 | 97.72 | 10 |
| 2020s | 95.96 | 95.73 | 96.19 | 4 |
Countries ranked near South Korea
- 144 Dominica 96.08 compare
- 145 Central African Republic 95.98 compare
- 146 Egypt 95.93 compare
- 148 East Timor 95.48 compare
- 149 Philippines 94.9 compare
- 150 American Samoa 94.66 compare
More climate change data for South Korea
- Spring temperature anomalies 1.1 °C (2026)
- Summer temperature anomalies 0.7164 °C (2026)
- Temperature anomalies by month -0.8996 °C (2026)
- Share of global CO₂ emissions and population 0.2% (2100)
- Population, total, annual growth rate -0.1285 % change on previous year (2025)
- Population, total, per unit of GDP 0 units per US$ of GDP (2025)
- Urban population, annual growth rate -0.1214 % change on previous year (2025)
- Urban population, per unit of GDP 0 units per US$ of GDP (2025)
- Urban population, per capita 0.8117 units per person (2025)
- Precipitation anomalies, annual growth rate -78.08 % change on previous year (2025)
Frequently asked questions
- What is index of forest extent, index in South Korea?
- Index of forest extent, index in South Korea was 95.73 in 2023, according to International Monetary Fund.
- What is the highest index of forest extent, index recorded in South Korea?
- The highest recorded value was 100 in 1992.
- What is the lowest index of forest extent, index recorded in South Korea?
- The lowest recorded value was 95.73 in 2023.
- How does South Korea rank for index of forest extent, index?
- South Korea ranks 147th out of 223 countries with data for 2023.
- Is index of forest extent, index rising or falling in South Korea?
- Over the last ten years it is down 1.6%. The long-run trend across the full record is flat.
- Where does this South Korea 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.
Download this data
CSV · JSON — 32 observations, free to reuse under IMF Terms and Conditions (attribution required).
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.