Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice in Bangladesh
Bangladesh: Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice was 0.2462 units per square kilometre in 2019. ▲ Rising
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice in Bangladesh, 1961–2019
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
Bangladesh recorded 0.2462 units per square kilometre for emission totals - emissions (co2eq) from ch4 (ar5) - rice in 2019.
That represents a change of up 1.4% over ten years.
Over the whole period, emission totals - emissions (co2eq) from ch4 (ar5) - rice in Bangladesh peaked at 0.2483 units per square kilometre in 2017 and was at its lowest, 0.1814 units per square kilometre, in 1961.
Bangladesh ranks 1st of 117 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 59 years of available data.
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice in Bangladesh, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1961 | 0.1814 units per square kilometre | — |
| 1962 | 0.1859 units per square kilometre | +2.5% |
| 1963 | 0.1926 units per square kilometre | +3.6% |
| 1964 | 0.1973 units per square kilometre | +2.5% |
| 1965 | 0.2001 units per square kilometre | +1.4% |
| 1966 | 0.194 units per square kilometre | -3.0% |
| 1967 | 0.2114 units per square kilometre | +9.0% |
| 1968 | 0.2083 units per square kilometre | -1.5% |
| 1969 | 0.2205 units per square kilometre | +5.9% |
| 1970 | 0.2119 units per square kilometre | -3.9% |
| 1971 | 0.1988 units per square kilometre | -6.2% |
| 1972 | 0.2059 units per square kilometre | +3.6% |
| 1973 | 0.2112 units per square kilometre | +2.6% |
| 1974 | 0.2094 units per square kilometre | -0.9% |
| 1975 | 0.2209 units per square kilometre | +5.5% |
| 1976 | 0.2113 units per square kilometre | -4.3% |
| 1977 | 0.2144 units per square kilometre | +1.5% |
| 1978 | 0.216 units per square kilometre | +0.7% |
| 1979 | 0.2172 units per square kilometre | +0.6% |
| 1980 | 0.2204 units per square kilometre | +1.5% |
| 1981 | 0.2237 units per square kilometre | +1.5% |
| 1982 | 0.2263 units per square kilometre | +1.2% |
| 1983 | 0.2082 units per square kilometre | -8.0% |
| 1984 | 0.2186 units per square kilometre | +5.0% |
| 1985 | 0.2223 units per square kilometre | +1.7% |
| 1986 | 0.2268 units per square kilometre | +2.0% |
| 1987 | 0.2207 units per square kilometre | -2.7% |
| 1988 | 0.2186 units per square kilometre | -0.9% |
| 1989 | 0.224 units per square kilometre | +2.5% |
| 1990 | 0.2231 units per square kilometre | -0.4% |
| 1991 | 0.219 units per square kilometre | -1.8% |
| 1992 | 0.2176 units per square kilometre | -0.6% |
| 1993 | 0.2118 units per square kilometre | -2.7% |
| 1994 | 0.2121 units per square kilometre | +0.1% |
| 1995 | 0.2128 units per square kilometre | +0.3% |
| 1996 | 0.2181 units per square kilometre | +2.5% |
| 1997 | 0.2194 units per square kilometre | +0.6% |
| 1998 | 0.2164 units per square kilometre | -1.4% |
| 1999 | 0.2291 units per square kilometre | +5.9% |
| 2000 | 0.2309 units per square kilometre | +0.8% |
| 2001 | 0.2279 units per square kilometre | -1.3% |
| 2002 | 0.2303 units per square kilometre | +1.0% |
| 2003 | 0.2293 units per square kilometre | -0.4% |
| 2004 | 0.2191 units per square kilometre | -4.4% |
| 2005 | 0.225 units per square kilometre | +2.7% |
| 2006 | 0.2262 units per square kilometre | +0.5% |
| 2007 | 0.2261 units per square kilometre | -0.0% |
| 2008 | 0.2412 units per square kilometre | +6.7% |
| 2009 | 0.2428 units per square kilometre | +0.7% |
| 2010 | 0.2465 units per square kilometre | +1.5% |
| 2011 | 0.2465 units per square kilometre | -0.0% |
| 2012 | 0.2442 units per square kilometre | -0.9% |
| 2013 | 0.2431 units per square kilometre | -0.4% |
| 2014 | 0.2441 units per square kilometre | +0.4% |
| 2015 | 0.2433 units per square kilometre | -0.3% |
| 2016 | 0.2352 units per square kilometre | -3.3% |
| 2017 | 0.2483 units per square kilometre | +5.6% |
| 2018 | 0.2462 units per square kilometre | -0.9% |
| 2019 | 0.2462 units per square kilometre | +0.0% |
Bangladesh compared with similar countries
- Bangladesh's 0.2462 units per square kilometre is above the median for lower middle income countries, which is 0.0013 units per square kilometre, 193.5× the median. (36 countries reporting)
- Bangladesh's 0.2462 units per square kilometre is above the median for South Asia, which is 0.0435 units per square kilometre, 5.7× the median. (5 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.1991 units per square kilometre | 0.1814 units per square kilometre | 0.2205 units per square kilometre | 9 |
| 1970s | 0.2117 units per square kilometre | 0.1988 units per square kilometre | 0.2209 units per square kilometre | 10 |
| 1980s | 0.221 units per square kilometre | 0.2082 units per square kilometre | 0.2268 units per square kilometre | 10 |
| 1990s | 0.2179 units per square kilometre | 0.2118 units per square kilometre | 0.2291 units per square kilometre | 10 |
| 2000s | 0.2299 units per square kilometre | 0.2191 units per square kilometre | 0.2428 units per square kilometre | 10 |
| 2010s | 0.2444 units per square kilometre | 0.2352 units per square kilometre | 0.2483 units per square kilometre | 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 (co2eq) from ch4 (ar5) - rice in Bangladesh?
- Emission totals - emissions (co2eq) from ch4 (ar5) - rice in Bangladesh was 0.2462 units per square kilometre in 2019, according to Statizoid (derived).
- What is the highest emission totals - emissions (co2eq) from ch4 (ar5) - rice recorded in Bangladesh?
- The highest recorded value was 0.2483 units per square kilometre in 2017.
- What is the lowest emission totals - emissions (co2eq) from ch4 (ar5) - rice recorded in Bangladesh?
- The lowest recorded value was 0.1814 units per square kilometre in 1961.
- How does Bangladesh rank for emission totals - emissions (co2eq) from ch4 (ar5) - rice?
- Bangladesh ranks 1st out of 117 countries with data for 2019.
- Is emission totals - emissions (co2eq) from ch4 (ar5) - rice rising or falling in Bangladesh?
- Over the last ten years it is up 1.4%. The long-run trend across the full record is rising.
- Where does this Bangladesh data come from?
- The figures come from Statizoid (derived), published as part of Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice Cultivation, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 59 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice Cultivation divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice Cultivation ÷ Land area (sq. km)
Computed from
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice Cultivation FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
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
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Rice Cultivation divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.