Food GHG emissions by system stage (Share of total) - Transport in Congo
Congo: Food GHG emissions by system stage (Share of total) - Transport was 2.26 in 2015. ▬ Flat
Food GHG emissions by system stage (Share of total) - Transport in Congo, 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
Congo recorded 2.26 for food ghg emissions by system stage (share of total) - transport in 2015.
The figure is down 38.0% on the previous year and up 32.6% over ten years.
Over the whole period, food ghg emissions by system stage (share of total) - transport in Congo peaked at 5.28 in 1998 and was at its lowest, 1.38, in 1994.
Congo ranks 123rd of 192 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2.62 | 1.38 | 5.28 | 10 |
| 2000s | 2.34 | 1.71 | 4.38 | 10 |
| 2010s | 2.31 | 1.5 | 3.65 | 6 |
Countries ranked near Congo
More reference data data for Congo
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0199 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1866 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2108 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0031 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2108 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0668 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0724 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.9126 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.08 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.017 (2050)
Frequently asked questions
- What is food ghg emissions by system stage (share of total) - transport in Congo?
- Food ghg emissions by system stage (share of total) - transport in Congo was 2.26 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 food ghg emissions by system stage (share of total) - transport recorded in Congo?
- The highest recorded value was 5.28 in 1998.
- What is the lowest food ghg emissions by system stage (share of total) - transport recorded in Congo?
- The lowest recorded value was 1.38 in 1994.
- How does Congo rank for food ghg emissions by system stage (share of total) - transport?
- Congo ranks 123rd out of 192 countries with data for 2015.
- Is food ghg emissions by system stage (share of total) - transport rising or falling in Congo?
- Over the last ten years it is up 32.6%. The long-run trend across the full record is flat.
- Where does this Congo 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 Food GHG emissions by system stage (Share of total) - Transport. 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
Food GHG emissions disaggregated by system stage 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).