Forest fires — Emissions (CO2eq) from N2O in Bangladesh
Bangladesh: Forest fires — Emissions (CO2eq) from N2O was 22.31 kt in 2023. ◆ Volatile
Forest fires — Emissions (CO2eq) from N2O in Bangladesh, 1990–2023
Source: Food and Agriculture Organization of the United Nations. Measured in kt.
Analysis
In 2023, forest fires — emissions (co2eq) from n2o in Bangladesh stood at 22.31 kt.
Compared with earlier readings it is up 84.2% on the previous year and down 85.5% over ten years.
Over the whole period, forest fires — emissions (co2eq) from n2o in Bangladesh peaked at 219.69 kt in 2006 and was at its lowest, 0.848 kt, in 2002.
That places Bangladesh 48th out of 219 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Forest fires — Emissions (CO2eq) from N2O in Bangladesh, year by year
| Year | kt | Change |
|---|---|---|
| 1990 | 53 kt | — |
| 1991 | 53 kt | +0.0% |
| 1992 | 53 kt | +0.0% |
| 1993 | 53 kt | +0.0% |
| 1994 | 53 kt | +0.0% |
| 1995 | 53 kt | +0.0% |
| 1996 | 21.6 kt | -59.2% |
| 1997 | 22.34 kt | +3.4% |
| 1998 | 17.2 kt | -23.0% |
| 1999 | 26.08 kt | +51.6% |
| 2000 | 15.98 kt | -38.7% |
| 2001 | 80.83 kt | +405.8% |
| 2002 | 0.848 kt | -99.0% |
| 2003 | 36.09 kt | +4156.3% |
| 2004 | 13.86 kt | -61.6% |
| 2005 | 45.37 kt | +227.3% |
| 2006 | 219.69 kt | +384.2% |
| 2007 | 34.29 kt | -84.4% |
| 2008 | 94.9 kt | +176.7% |
| 2009 | 115.7 kt | +21.9% |
| 2010 | 16.7 kt | -85.6% |
| 2011 | 17.73 kt | +6.2% |
| 2012 | 32.89 kt | +85.5% |
| 2013 | 154.31 kt | +369.2% |
| 2014 | 129.19 kt | -16.3% |
| 2015 | 15.53 kt | -88.0% |
| 2016 | 7.29 kt | -53.1% |
| 2017 | 1.48 kt | -79.6% |
| 2018 | 23.85 kt | +1507.1% |
| 2019 | 11.61 kt | -51.3% |
| 2020 | 124.23 kt | +970.3% |
| 2021 | 112.23 kt | -9.7% |
| 2022 | 12.11 kt | -89.2% |
| 2023 | 22.31 kt | +84.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 40.52 kt | 17.2 kt | 53 kt | 10 |
| 2000s | 65.75 kt | 0.848 kt | 219.69 kt | 10 |
| 2010s | 41.06 kt | 1.48 kt | 154.31 kt | 10 |
| 2020s | 67.72 kt | 12.11 kt | 124.23 kt | 4 |
Countries ranked near Bangladesh
More climate change data for Bangladesh
- Emissions from livestock — Emissions (CO2eq) 53,978 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 11,421 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 42,556 kt (2050)
- Emissions from livestock — Emissions 43.1 kt (2050)
- Emissions from livestock — Emissions 1,520 kt (2050)
- Emissions from crops — Emissions (CO2eq) 45,925 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 15,205 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 30,719 kt (2050)
- Emissions from crops — Emissions 57.38 kt (2050)
- Emissions from crops — Emissions 1,097 kt (2050)
Frequently asked questions
- What is forest fires — emissions (co2eq) from n2o in Bangladesh?
- Forest fires — emissions (co2eq) from n2o in Bangladesh was 22.31 kt in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest forest fires — emissions (co2eq) from n2o recorded in Bangladesh?
- The highest recorded value was 219.69 kt in 2006.
- What is the lowest forest fires — emissions (co2eq) from n2o recorded in Bangladesh?
- The lowest recorded value was 0.848 kt in 2002.
- How does Bangladesh rank for forest fires — emissions (co2eq) from n2o?
- Bangladesh ranks 48th out of 219 countries with data for 2023.
- Is forest fires — emissions (co2eq) from n2o rising or falling in Bangladesh?
- Over the last ten years it is down 85.5%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Forest fires — Emissions (CO2eq) from N2O (AR5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT domain on Emissions Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Emissions from other economic sectors as defined by the IPCC are also disseminated in the domain for completeness. Methodological details can be found at: https://files-faostat.fao.org/production/GT/GT_en.pdf