Forest fires — Emissions (CH4), annual growth rate in Central Asia
Central Asia: Forest fires — Emissions (CH4), annual growth rate was -100 % change on previous year in 2024. ◆ Volatile
Forest fires — Emissions (CH4), annual growth rate in Central Asia, 1993–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2024, forest fires — emissions (ch4), annual growth rate in Central Asia stood at -100 % change on previous year. That is the lowest value across all 28 years on record.
The figure is down 25.0% on the previous year and down 55.6% over ten years.
Over the whole period, forest fires — emissions (ch4), annual growth rate in Central Asia peaked at 489.05 % change on previous year in 2002 and was at its lowest, -100 % change on previous year, in 2017.
Central Asia ranks 31st of 32 groups on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Forest fires — Emissions (CH4), annual growth rate in Central Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1993 | 0 % change on previous year | — |
| 1994 | 0 % change on previous year | — |
| 1995 | 0 % change on previous year | — |
| 1996 | 205.33 % change on previous year | — |
| 1997 | 107.69 % change on previous year | -47.6% |
| 1998 | -44.99 % change on previous year | -141.8% |
| 1999 | -31.56 % change on previous year | -29.8% |
| 2000 | 25.6 % change on previous year | -181.1% |
| 2001 | -98.97 % change on previous year | -486.5% |
| 2002 | 489.05 % change on previous year | -594.2% |
| 2003 | -73.23 % change on previous year | -115.0% |
| 2004 | -73.3 % change on previous year | +0.1% |
| 2005 | -62.5 % change on previous year | -14.7% |
| 2006 | 100 % change on previous year | -260.0% |
| 2008 | -88.27 % change on previous year | -188.3% |
| 2009 | -86.67 % change on previous year | -1.8% |
| 2010 | 50 % change on previous year | -157.7% |
| 2011 | 333.33 % change on previous year | +566.7% |
| 2012 | 15.38 % change on previous year | -95.4% |
| 2013 | -81.33 % change on previous year | -628.7% |
| 2014 | -64.29 % change on previous year | -21.0% |
| 2016 | -75.83 % change on previous year | +18.0% |
| 2017 | -100 % change on previous year | +31.9% |
| 2019 | 300 % change on previous year | -400.0% |
| 2020 | -100 % change on previous year | -133.3% |
| 2022 | 297.29 % change on previous year | -397.3% |
| 2023 | -80.02 % change on previous year | -126.9% |
| 2024 | -100 % change on previous year | +25.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 33.78 % change on previous year | -44.99 % change on previous year | 205.33 % change on previous year | 7 |
| 2000s | 14.64 % change on previous year | -98.97 % change on previous year | 489.05 % change on previous year | 9 |
| 2010s | 47.16 % change on previous year | -100 % change on previous year | 333.33 % change on previous year | 8 |
| 2020s | 4.32 % change on previous year | -100 % change on previous year | 297.29 % change on previous year | 4 |
Countries ranked near Central Asia
- 28 Sierra Leone 135.69 % change on previous year compare
- 29 Zimbabwe 122.24 % change on previous year compare
- 30 New Zealand 114.04 % change on previous year compare
- 31 Serbia and Montenegro 100 % change on previous year compare
- 32 Guinea-Bissau 98.41 % change on previous year compare
- 33 Philippines 97.03 % change on previous year compare
- 34 Japan 89.39 % change on previous year compare
More climate change data for Central Asia
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 1.49 billion kg (2050)
- Emissions from livestock — Emissions (CO2eq) 65,233 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 15,658 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 49,576 kt (2050)
- Emissions from livestock — Emissions 59.09 kt (2050)
- Emissions from livestock — Emissions 1,771 kt (2050)
- Emissions from crops — Emissions (CO2eq) 11,927 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 10,307 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 1,620 kt (2050)
- Emissions from crops — Emissions 38.9 kt (2050)
Frequently asked questions
- What is forest fires — emissions (ch4), annual growth rate in Central Asia?
- Forest fires — emissions (ch4), annual growth rate in Central Asia was -100 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest forest fires — emissions (ch4), annual growth rate recorded in Central Asia?
- The highest recorded value was 489.05 % change on previous year in 2002.
- What is the lowest forest fires — emissions (ch4), annual growth rate recorded in Central Asia?
- The lowest recorded value was -100 % change on previous year in 2017.
- How does Central Asia rank for forest fires — emissions (ch4), annual growth rate?
- Central Asia ranks 31st out of 32 groups with data for 2024.
- Is forest fires — emissions (ch4), annual growth rate rising or falling in Central Asia?
- Over the last ten years it is down 55.6%. The long-run trend across the full record is volatile.
- Where does this Central Asia data come from?
- The figures come from Statizoid (derived), published as part of Forest fires — Emissions (CH4), annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 28 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Forest fires — Emissions (CH4). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Forest fires — Emissions Food and Agriculture Organization of the United Nations
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Forest fires — Emissions (CH4). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.