Index of carbon stocks in forests, Index in Germany
Germany: Index of carbon stocks in forests, Index was 138.58 in 2023. ▲ Rising
Index of carbon stocks in forests, Index in Germany, 1992–2023
Source: International Monetary Fund.
Analysis
The most recent figure for index of carbon stocks in forests, index in Germany is 138.58, measured in 2023. That is the highest value across all 32 years on record.
That represents a change of up 0.9% on the previous year and up 9.3% over ten years.
Over the whole period, index of carbon stocks in forests, index in Germany peaked at 138.58 in 2023 and was at its lowest, 100, in 1992.
Germany ranks 33rd of 196 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 32 years of available data.
Index of carbon stocks in forests, Index in Germany, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 100 | — |
| 1993 | 101.84 | +1.8% |
| 1994 | 103.69 | +1.8% |
| 1995 | 105.54 | +1.8% |
| 1996 | 107.38 | +1.7% |
| 1997 | 109.23 | +1.7% |
| 1998 | 111.07 | +1.7% |
| 1999 | 112.92 | +1.7% |
| 2000 | 114.76 | +1.6% |
| 2001 | 115.61 | +0.7% |
| 2002 | 116.46 | +0.7% |
| 2003 | 117.31 | +0.7% |
| 2004 | 118.16 | +0.7% |
| 2005 | 119.01 | +0.7% |
| 2006 | 119.86 | +0.7% |
| 2007 | 120.71 | +0.7% |
| 2008 | 121.56 | +0.7% |
| 2009 | 122.41 | +0.7% |
| 2010 | 123.26 | +0.7% |
| 2011 | 124.44 | +1.0% |
| 2012 | 125.62 | +0.9% |
| 2013 | 126.8 | +0.9% |
| 2014 | 127.97 | +0.9% |
| 2015 | 129.15 | +0.9% |
| 2016 | 130.34 | +0.9% |
| 2017 | 131.51 | +0.9% |
| 2018 | 132.68 | +0.9% |
| 2019 | 133.87 | +0.9% |
| 2020 | 135.04 | +0.9% |
| 2021 | 136.23 | +0.9% |
| 2022 | 137.4 | +0.9% |
| 2023 | 138.58 | +0.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 106.46 | 100 | 112.92 | 8 |
| 2000s | 118.59 | 114.76 | 122.41 | 10 |
| 2010s | 128.56 | 123.26 | 133.87 | 10 |
| 2020s | 136.81 | 135.04 | 138.58 | 4 |
Countries ranked near Germany
- 30 Saint Lucia 145.84 compare
- 31 Belgium 142.31 compare
- 32 Slovakia 139.4 compare
- 34 Syrian Arab Republic 136.49 compare
- 35 Lithuania 135.45 compare
- 36 Serbia and Montenegro 135 compare
More climate change data for Germany
- Emissions from livestock — Emissions (CO2eq) 43,971 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 9,073 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 34,898 kt (2050)
- Emissions from livestock — Emissions 34.24 kt (2050)
- Emissions from livestock — Emissions 1,246 kt (2050)
- Emissions from crops — Emissions (CO2eq) 12,350 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 12,227 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 122.64 kt (2050)
- Emissions from crops — Emissions 46.14 kt (2050)
- Emissions from crops — Emissions 4.38 kt (2050)
Frequently asked questions
- What is index of carbon stocks in forests, index in Germany?
- Index of carbon stocks in forests, index in Germany was 138.58 in 2023, according to International Monetary Fund.
- What is the highest index of carbon stocks in forests, index recorded in Germany?
- The highest recorded value was 138.58 in 2023.
- What is the lowest index of carbon stocks in forests, index recorded in Germany?
- The lowest recorded value was 100 in 1992.
- How does Germany rank for index of carbon stocks in forests, index?
- Germany ranks 33rd out of 196 countries with data for 2023.
- Is index of carbon stocks in forests, index rising or falling in Germany?
- Over the last ten years it is up 9.3%. The long-run trend across the full record is rising.
- Where does this Germany data come from?
- The figures come from International Monetary Fund, published as part of Index of carbon stocks in forests, 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.