Index of forest extent, Index in Hungary
Hungary: Index of forest extent, Index was 111.62 in 2023. ▲ Rising
Index of forest extent, Index in Hungary, 1992–2023
Source: International Monetary Fund.
Analysis
In 2023, index of forest extent, index in Hungary stood at 111.62.
That represents a change of down 0.1% on the previous year and down 0.3% over ten years.
Over the whole period, index of forest extent, index in Hungary peaked at 112.28 in 2015 and was at its lowest, 100, in 1992.
Hungary ranks 41st of 223 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 forest extent, Index in Hungary, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 100 | — |
| 1993 | 100.58 | +0.6% |
| 1994 | 101.17 | +0.6% |
| 1995 | 101.75 | +0.6% |
| 1996 | 102.34 | +0.6% |
| 1997 | 102.92 | +0.6% |
| 1998 | 103.51 | +0.6% |
| 1999 | 104.09 | +0.6% |
| 2000 | 104.68 | +0.6% |
| 2001 | 105.36 | +0.7% |
| 2002 | 106.04 | +0.6% |
| 2003 | 106.72 | +0.6% |
| 2004 | 107.41 | +0.6% |
| 2005 | 108.09 | +0.6% |
| 2006 | 108.77 | +0.6% |
| 2007 | 109.45 | +0.6% |
| 2008 | 110.13 | +0.6% |
| 2009 | 110.82 | +0.6% |
| 2010 | 111.5 | +0.6% |
| 2011 | 111.66 | +0.1% |
| 2012 | 111.81 | +0.1% |
| 2013 | 111.97 | +0.1% |
| 2014 | 112.13 | +0.1% |
| 2015 | 112.28 | +0.1% |
| 2016 | 112.17 | -0.1% |
| 2017 | 112.09 | -0.1% |
| 2018 | 112.02 | -0.1% |
| 2019 | 111.94 | -0.1% |
| 2020 | 111.86 | -0.1% |
| 2021 | 111.78 | -0.1% |
| 2022 | 111.7 | -0.1% |
| 2023 | 111.62 | -0.1% |
Hungary compared with similar countries
- Hungary's 111.62 is above the median for high income countries, which is 101.93, 1.1× the median. (76 countries reporting)
- Hungary's 111.62 is above the median for Europe & Central Asia, which is 106.21, 1.1× the median. (54 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 102.05 | 100 | 104.09 | 8 |
| 2000s | 107.75 | 104.68 | 110.82 | 10 |
| 2010s | 111.96 | 111.5 | 112.28 | 10 |
| 2020s | 111.74 | 111.62 | 111.86 | 4 |
Countries ranked near Hungary
- 38 Kazakhstan 112.06 compare
- 39 Belarus 111.84 compare
- 40 West Bank and Gaza 111.67 compare
- 42 Serbia and Montenegro 111.61 compare
- 43 Estonia 110.21 compare
- 44 Martinique 110.14 compare
More climate change data for Hungary
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 285.10 million kg (2050)
- Emissions from livestock — Emissions (CO2eq) 3,529 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 964.55 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 2,564 kt (2050)
- Emissions from livestock — Emissions 3.64 kt (2050)
- Emissions from livestock — Emissions 91.58 kt (2050)
- Emissions from crops — Emissions (CO2eq) 2,555 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 2,421 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 134.6 kt (2050)
- Emissions from crops — Emissions 9.13 kt (2050)
Frequently asked questions
- What is index of forest extent, index in Hungary?
- Index of forest extent, index in Hungary was 111.62 in 2023, according to International Monetary Fund.
- What is the highest index of forest extent, index recorded in Hungary?
- The highest recorded value was 112.28 in 2015.
- What is the lowest index of forest extent, index recorded in Hungary?
- The lowest recorded value was 100 in 1992.
- How does Hungary rank for index of forest extent, index?
- Hungary ranks 41st out of 223 countries with data for 2023.
- Is index of forest extent, index rising or falling in Hungary?
- Over the last ten years it is down 0.3%. The long-run trend across the full record is rising.
- Where does this Hungary 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.