GHG emissions from food systems, by gas (Mt CO2 eq) - CO2 in Sudan
Sudan: GHG emissions from food systems, by gas (Mt CO2 eq) - CO2 was 222,804 in 2015. ▬ Flat
GHG emissions from food systems, by gas (Mt CO2 eq) - CO2 in Sudan, 1990–2015
Source: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).
Analysis
In 2015, ghg emissions from food systems, by gas (mt co2 eq) - co2 in Sudan stood at 222,804.
The figure is up 36.2% on the previous year and down 19.0% over ten years.
Over the whole period, ghg emissions from food systems, by gas (mt co2 eq) - co2 in Sudan peaked at 420,097 in 2009 and was at its lowest, 163,635, in 2014.
That places Sudan 9th out of 203 countries with data for 2015, putting it in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 265,645 | 233,306 | 278,501 | 10 |
| 2000s | 295,942 | 239,860 | 420,097 | 10 |
| 2010s | 271,430 | 163,635 | 367,692 | 6 |
Countries ranked near Sudan
More reference data data for Sudan
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0139 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 17.81 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5846 (2019)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4356 (2019)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 19.69 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 93.88 (2019)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 80.68 (2019)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 19.69 (2019)
- Emission Totals - Emissions (N2O) - Crop Residues 2.37 (2019)
- Emission Totals - Emissions (N2O) - Manure Management 0.8148 (2019)
Frequently asked questions
- What is ghg emissions from food systems, by gas (mt co2 eq) - co2 in Sudan?
- Ghg emissions from food systems, by gas (mt co2 eq) - co2 in Sudan was 222,804 in 2015, according to Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).
- What is the highest ghg emissions from food systems, by gas (mt co2 eq) - co2 recorded in Sudan?
- The highest recorded value was 420,097 in 2009.
- What is the lowest ghg emissions from food systems, by gas (mt co2 eq) - co2 recorded in Sudan?
- The lowest recorded value was 163,635 in 2014.
- How does Sudan rank for ghg emissions from food systems, by gas (mt co2 eq) - co2?
- Sudan ranks 9th out of 203 countries with data for 2015.
- Is ghg emissions from food systems, by gas (mt co2 eq) - co2 rising or falling in Sudan?
- Over the last ten years it is down 19.0%. The long-run trend across the full record is flat.
- Where does this Sudan data come from?
- The figures come from Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021), published as part of GHG emissions from food systems, by gas (Mt CO2 eq) - CO2. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
GHG emissions from food systems disaggregated by gas are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).