Emission Totals - Emissions (CH4) - Fires in humid tropical forests in Bangladesh
Bangladesh: Emission Totals - Emissions (CH4) - Fires in humid tropical forests was 0.4073 in 2019. ◆ Volatile
Emission Totals - Emissions (CH4) - Fires in humid tropical forests in Bangladesh, 1990–2019
Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
Analysis
In 2019, emission totals - emissions (ch4) - fires in humid tropical forests in Bangladesh stood at 0.4073.
The figure is down 50.0% on the previous year and down 88.4% over ten years.
Over the whole period, emission totals - emissions (ch4) - fires in humid tropical forests in Bangladesh peaked at 7.09 in 2006 and was at its lowest, 0.054, in 2017.
That places Bangladesh 49th out of 209 countries with data for 2019, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Emission Totals - Emissions (CH4) - Fires in humid tropical forests in Bangladesh, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 1.98 | — |
| 1991 | 1.98 | +0.0% |
| 1992 | 1.98 | +0.0% |
| 1993 | 1.98 | +0.0% |
| 1994 | 1.98 | +0.0% |
| 1995 | 1.98 | +0.0% |
| 1996 | 2.77 | +39.9% |
| 1997 | 2.87 | +3.5% |
| 1998 | 2.21 | -23.0% |
| 1999 | 3.35 | +51.5% |
| 2000 | 2.05 | -38.7% |
| 2001 | 3.5 | +70.5% |
| 2002 | 0.0623 | -98.2% |
| 2003 | 1.16 | +1761.3% |
| 2004 | 0.4718 | -59.3% |
| 2005 | 1.35 | +186.3% |
| 2006 | 7.09 | +424.8% |
| 2007 | 1 | -85.9% |
| 2008 | 2.77 | +177.0% |
| 2009 | 3.51 | +26.4% |
| 2010 | 0.4947 | -85.9% |
| 2011 | 0.6256 | +26.5% |
| 2012 | 1.19 | +90.7% |
| 2013 | 4.84 | +305.7% |
| 2014 | 4.05 | -16.3% |
| 2015 | 0.6089 | -85.0% |
| 2016 | 0.2577 | -57.7% |
| 2017 | 0.054 | -79.0% |
| 2018 | 0.8146 | +1408.5% |
| 2019 | 0.4073 | -50.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2.31 | 1.98 | 3.35 | 10 |
| 2000s | 2.3 | 0.0623 | 7.09 | 10 |
| 2010s | 1.33 | 0.054 | 4.84 | 10 |
Countries ranked near Bangladesh
More reference data data for Bangladesh
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.46 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.09 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 24.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 24.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 8.25 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 2.5 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 37.85 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 105.98 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 14.25 (2050)
Frequently asked questions
- What is emission totals - emissions (ch4) - fires in humid tropical forests in Bangladesh?
- Emission totals - emissions (ch4) - fires in humid tropical forests in Bangladesh was 0.4073 in 2019, according to FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
- What is the highest emission totals - emissions (ch4) - fires in humid tropical forests recorded in Bangladesh?
- The highest recorded value was 7.09 in 2006.
- What is the lowest emission totals - emissions (ch4) - fires in humid tropical forests recorded in Bangladesh?
- The lowest recorded value was 0.054 in 2017.
- How does Bangladesh rank for emission totals - emissions (ch4) - fires in humid tropical forests?
- Bangladesh ranks 49th out of 209 countries with data for 2019.
- Is emission totals - emissions (ch4) - fires in humid tropical forests rising or falling in Bangladesh?
- Over the last ten years it is down 88.4%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT, published as part of Emission Totals - Emissions (CH4) - Fires in humid tropical forests. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 30 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The FAOSTAT domain Emissions Totals summarizes the greenhouse gas (GHG) emissions generated from agriculture and forest land. They consist of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from crop and livestock activities, forest management and include land use and land use change processes. Data are computed at Tier 1 of the IPCC Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Estimates are available by country, with global coverage for the period 1961–2019 with projections for 2030 and 2050 for some categories of emissions or 1990–2019 for others. The database is updated annually. The FAOSTAT domain Emissions Totals disseminates information estimates of CH4, N2O and CO2 emissions/removals and their aggregates in CO2eq in units of kilotonnes (kt, or 106 kg). The latter are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014).