Index of forest extent, Index in China
China: Index of forest extent, Index was 140.04 in 2023. ▲ Rising
Index of forest extent, Index in China, 1992–2023
Source: International Monetary Fund.
Analysis
In 2023, index of forest extent, index in China stood at 140.04. That is the highest value across all 32 years on record.
The figure is up 0.8% on the previous year and up 9.3% over ten years.
Over the whole period, index of forest extent, index in China peaked at 140.04 in 2023 and was at its lowest, 100, in 1992.
That places China 11th out of 223 countries with data for 2023, putting it in the top 10%.
The long-run direction has been consistently rising across the 32 years of available data.
Index of forest extent, Index in China, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 100 | — |
| 1993 | 101.23 | +1.2% |
| 1994 | 102.47 | +1.2% |
| 1995 | 103.7 | +1.2% |
| 1996 | 104.93 | +1.2% |
| 1997 | 106.16 | +1.2% |
| 1998 | 107.4 | +1.2% |
| 1999 | 108.63 | +1.1% |
| 2000 | 109.86 | +1.1% |
| 2001 | 111.33 | +1.3% |
| 2002 | 112.79 | +1.3% |
| 2003 | 114.26 | +1.3% |
| 2004 | 115.72 | +1.3% |
| 2005 | 117.19 | +1.3% |
| 2006 | 118.65 | +1.3% |
| 2007 | 120.12 | +1.2% |
| 2008 | 121.58 | +1.2% |
| 2009 | 123.05 | +1.2% |
| 2010 | 124.52 | +1.2% |
| 2011 | 125.72 | +1.0% |
| 2012 | 126.92 | +1.0% |
| 2013 | 128.12 | +0.9% |
| 2014 | 129.32 | +0.9% |
| 2015 | 130.53 | +0.9% |
| 2016 | 131.87 | +1.0% |
| 2017 | 133.04 | +0.9% |
| 2018 | 134.2 | +0.9% |
| 2019 | 135.37 | +0.9% |
| 2020 | 136.54 | +0.9% |
| 2021 | 137.7 | +0.9% |
| 2022 | 138.87 | +0.8% |
| 2023 | 140.04 | +0.8% |
China compared with similar countries
- China's 140.04 is above the median for upper middle income countries, which is 100, 1.4× the median. (58 countries reporting)
- China's 140.04 is above the median for East Asia & Pacific, which is 99.55, 1.4× the median. (34 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 104.31 | 100 | 108.63 | 8 |
| 2000s | 116.46 | 109.86 | 123.05 | 10 |
| 2010s | 129.96 | 124.52 | 135.37 | 10 |
| 2020s | 138.29 | 136.54 | 140.04 | 4 |
Countries ranked near China
- 8 Vietnam 150.86 compare
- 9 Puerto Rico 145.52 compare
- 10 Uzbekistan 143.14 compare
- 12 Syria 135.93 compare
- 13 Malta 131.43 compare
- 14 Dominican Republic 129.81 compare
More climate change data for China
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 31.25 billion kg (2050)
- Emissions from livestock — Emissions (CO2eq) 604,831 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 191,478 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 413,353 kt (2050)
- Emissions from livestock — Emissions 722.56 kt (2050)
- Emissions from livestock — Emissions 14,763 kt (2050)
- Emissions from crops — Emissions (CO2eq) 342,069 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 200,605 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 141,464 kt (2050)
- Emissions from crops — Emissions 757 kt (2050)
Frequently asked questions
- What is index of forest extent, index in China?
- Index of forest extent, index in China was 140.04 in 2023, according to International Monetary Fund.
- What is the highest index of forest extent, index recorded in China?
- The highest recorded value was 140.04 in 2023.
- What is the lowest index of forest extent, index recorded in China?
- The lowest recorded value was 100 in 1992.
- How does China rank for index of forest extent, index?
- China ranks 11th out of 223 countries with data for 2023.
- Is index of forest extent, index rising or falling in China?
- Over the last ten years it is up 9.3%. The long-run trend across the full record is rising.
- Where does this China 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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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.