Index of forest extent, Index in Eswatini
Eswatini: Index of forest extent, Index was 108.12 in 2023. ▲ Rising
Index of forest extent, Index in Eswatini, 1992–2023
Source: International Monetary Fund.
Analysis
Eswatini recorded 108.12 for index of forest extent, index in 2023. That is the highest value across all 32 years on record.
That represents a change of up 0.2% on the previous year and up 2.5% over ten years.
Over the whole period, index of forest extent, index in Eswatini peaked at 108.12 in 2023 and was at its lowest, 100, in 1992.
That places Eswatini 50th out of 223 countries with data for 2023, putting it 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 Eswatini, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 100 | — |
| 1993 | 100.26 | +0.3% |
| 1994 | 100.52 | +0.3% |
| 1995 | 100.79 | +0.3% |
| 1996 | 101.05 | +0.3% |
| 1997 | 101.31 | +0.3% |
| 1998 | 101.57 | +0.3% |
| 1999 | 101.83 | +0.3% |
| 2000 | 102.09 | +0.3% |
| 2001 | 102.36 | +0.3% |
| 2002 | 102.62 | +0.3% |
| 2003 | 102.88 | +0.3% |
| 2004 | 103.14 | +0.3% |
| 2005 | 103.41 | +0.3% |
| 2006 | 103.67 | +0.3% |
| 2007 | 103.93 | +0.3% |
| 2008 | 104.19 | +0.3% |
| 2009 | 104.45 | +0.3% |
| 2010 | 104.72 | +0.3% |
| 2011 | 104.98 | +0.3% |
| 2012 | 105.24 | +0.2% |
| 2013 | 105.5 | +0.2% |
| 2014 | 105.76 | +0.2% |
| 2015 | 106.03 | +0.2% |
| 2016 | 106.29 | +0.2% |
| 2017 | 106.55 | +0.2% |
| 2018 | 106.81 | +0.2% |
| 2019 | 107.07 | +0.2% |
| 2020 | 107.33 | +0.2% |
| 2021 | 107.59 | +0.2% |
| 2022 | 107.86 | +0.2% |
| 2023 | 108.12 | +0.2% |
Eswatini compared with similar countries
- Eswatini's 108.12 is above the median for lower middle income countries, which is 92.62, 1.2× the median. (46 countries reporting)
- Eswatini's 108.12 is above the median for Sub-Saharan Africa, which is 87.22, 1.2× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 100.92 | 100 | 101.83 | 8 |
| 2000s | 103.27 | 102.09 | 104.45 | 10 |
| 2010s | 105.89 | 104.72 | 107.07 | 10 |
| 2020s | 107.72 | 107.33 | 108.12 | 4 |
Countries ranked near Eswatini
More climate change data for Eswatini
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 10.39 million kg (2050)
- Emissions from livestock — Emissions (CO2eq) 1,459 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 469.92 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 988.9 kt (2050)
- Emissions from livestock — Emissions 1.77 kt (2050)
- Emissions from livestock — Emissions 35.32 kt (2050)
- Emissions from crops — Emissions (CO2eq) 77.58 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 66.81 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 10.77 kt (2050)
- Emissions from crops — Emissions 0.2521 kt (2050)
Frequently asked questions
- What is index of forest extent, index in Eswatini?
- Index of forest extent, index in Eswatini was 108.12 in 2023, according to International Monetary Fund.
- What is the highest index of forest extent, index recorded in Eswatini?
- The highest recorded value was 108.12 in 2023.
- What is the lowest index of forest extent, index recorded in Eswatini?
- The lowest recorded value was 100 in 1992.
- How does Eswatini rank for index of forest extent, index?
- Eswatini ranks 50th out of 223 countries with data for 2023.
- Is index of forest extent, index rising or falling in Eswatini?
- Over the last ten years it is up 2.5%. The long-run trend across the full record is rising.
- Where does this Eswatini 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.