GHG emissions from food systems, by gas (Mt CO2 eq) - F-gases by country
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...
What the numbers show
GHG emissions from food systems, by gas (Mt CO2 eq) - F-gases is currently reported for 93 countries. The highest value is 207,870 in United States of America; the lowest is 0.3393 in Comoros.
The median across all reporting countries is 449.59, and the mean is 4,275.
GHG emissions from food systems, by gas (Mt CO2 eq) - F-gases: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States of America | 207,870 | 2015 | up 12.8% | volatile |
| 2 | Japan | 36,279 | 2015 | up 21.3% | volatile |
| 3 | Germany | 17,139 | 2015 | up 16.2% | volatile |
| 4 | France | 15,452 | 2015 | up 23.8% | volatile |
| 5 | Canada | 14,293 | 2015 | up 20.5% | volatile |
| 6 | Russia | 11,808 | 2015 | up 66.7% | volatile |
| 7 | Italy | 11,668 | 2015 | up 20.2% | volatile |
| 8 | United Kingdom of Great Britain and Northern Ireland | 11,518 | 2015 | up 21.3% | volatile |
| 9 | Australia | 8,158 | 2015 | up 46.8% | volatile |
| 10 | Spain | 6,270 | 2015 | up 21.2% | volatile |
| 11 | Türkiye | 3,943 | 2015 | up 29.4% | volatile |
| 12 | Democratic People’s Republic of Korea | 3,900 | 2015 | up 18.1% | volatile |
| 13 | Netherlands | 3,760 | 2015 | up 21.5% | volatile |
| 14 | Brazil | 2,737 | 2015 | up 36.6% | volatile |
| 15 | Austria | 2,540 | 2015 | up 21.6% | volatile |
| 16 | Belgium | 2,448 | 2015 | up 21.9% | volatile |
| 17 | Poland | 2,359 | 2015 | up 27.0% | volatile |
| 18 | Switzerland | 2,260 | 2015 | up 21.2% | volatile |
| 19 | Mexico | 2,063 | 2015 | up 25.9% | volatile |
| 20 | Singapore | 1,649 | 2015 | up 23.1% | volatile |
| 21 | Hungary | 1,638 | 2015 | up 27.5% | volatile |
| 22 | Israel | 1,634 | 2015 | up 22.0% | volatile |
| 23 | Denmark | 1,614 | 2015 | up 21.8% | volatile |
| 24 | Sweden | 1,601 | 2015 | up 22.4% | volatile |
| 25 | Czechia | 1,400 | 2015 | up 26.8% | volatile |
| 26 | China (People’s Republic of) | 1,301 | 2015 | up 12.5% | volatile |
| 27 | Latvia | 1,215 | 2015 | up 32.6% | volatile |
| 28 | Ireland | 1,137 | 2015 | up 24.3% | volatile |
| 29 | Finland | 1,073 | 2015 | up 22.4% | volatile |
| 30 | Greece | 987.53 | 2015 | up 24.0% | volatile |
| 31 | New Zealand | 967.18 | 2015 | up 23.4% | volatile |
| 32 | Lithuania | 904.24 | 2015 | up 31.3% | volatile |
| 33 | Uzbekistan | 841.91 | 2015 | up 29.0% | volatile |
| 34 | Portugal | 839.33 | 2015 | up 21.8% | volatile |
| 35 | Kuwait | 748.81 | 2015 | up 30.9% | volatile |
| 36 | South Africa | 689.1 | 2015 | up 23.3% | volatile |
| 37 | Guatemala | 679.27 | 2015 | up 28.3% | volatile |
| 38 | Belarus | 602.34 | 2015 | up 32.0% | volatile |
| 39 | Bosnia and Herzegovina | 591.1 | 2015 | up 33.9% | volatile |
| 40 | Romania | 579.36 | 2015 | up 30.5% | volatile |
| 41 | Bulgaria | 502.2 | 2015 | up 30.1% | volatile |
| 42 | Kazakhstan | 489.52 | 2015 | up 34.0% | volatile |
| 43 | Slovenia | 470.02 | 2015 | up 26.1% | volatile |
| 44 | Nigeria | 462.49 | 2015 | up 31.5% | volatile |
| 45 | Armenia | 460.9 | 2015 | up 36.3% | volatile |
| 46 | Peru | 460.85 | 2015 | up 29.3% | volatile |
| 47 | Norway | 449.59 | 2015 | up 22.0% | volatile |
| 48 | Egypt | 434.2 | 2015 | up 29.5% | volatile |
| 49 | Venezuela, Bolivarian Republic of | 433.25 | 2015 | up 28.6% | volatile |
| 50 | Slovak Republic | 432.39 | 2015 | up 28.1% | volatile |
| 51 | Ukraine | 329.22 | 2015 | up 31.9% | volatile |
| 52 | Brunei Darussalam | 321.45 | 2015 | up 26.6% | volatile |
| 53 | Saudi Arabia | 268.56 | 2015 | up 27.1% | volatile |
| 54 | Cyprus | 256.33 | 2015 | up 25.4% | volatile |
| 55 | Oman | 254.04 | 2015 | up 37.3% | volatile |
| 56 | Algeria | 228.01 | 2015 | up 27.8% | volatile |
| 57 | Cuba | 186.79 | 2015 | up 30.2% | volatile |
| 58 | Malta | 163.37 | 2015 | up 24.1% | volatile |
| 59 | North Macedonia | 152.63 | 2015 | up 26.0% | volatile |
| 60 | Jordan | 151.79 | 2015 | up 33.6% | volatile |
| 61 | Luxembourg | 129.29 | 2015 | up 22.5% | volatile |
| 62 | Turkmenistan | 113.7 | 2015 | up 34.0% | volatile |
| 63 | Mozambique | 106.33 | 2015 | up 30.6% | volatile |
| 64 | El Salvador | 102.6 | 2015 | up 21.2% | volatile |
| 65 | Ecuador | 88.45 | 2015 | up 28.9% | volatile |
| 66 | Costa Rica | 85.16 | 2015 | up 26.0% | volatile |
| 67 | Albania | 84.44 | 2015 | up 31.4% | volatile |
| 68 | Papua New Guinea | 83.69 | 2015 | up 38.8% | volatile |
| 69 | Uruguay | 73.86 | 2015 | up 23.6% | volatile |
| 70 | Jamaica | 71.87 | 2015 | up 27.5% | volatile |
| 71 | Azerbaijan | 71.77 | 2015 | up 35.1% | volatile |
| 72 | Iceland | 66.03 | 2015 | up 23.1% | volatile |
| 73 | Rwanda | 64.72 | 2015 | up 39.6% | volatile |
| 74 | Croatia | 63.91 | 2015 | up 28.2% | volatile |
| 75 | Estonia | 46.91 | 2015 | up 32.1% | volatile |
| 76 | Kyrgyzstan | 35.55 | 2015 | up 28.8% | volatile |
| 77 | Angola | 25.36 | 2015 | up 39.7% | volatile |
| 78 | Mauritius | 22.02 | 2015 | up 29.9% | volatile |
| 79 | Liberia | 20.31 | 2015 | up 36.3% | volatile |
| 80 | Tajikistan | 17.45 | 2015 | up 32.9% | volatile |
| 81 | Georgia | 16.4 | 2015 | up 33.2% | volatile |
| 82 | Ethiopia | 13.19 | 2015 | up 27.2% | volatile |
| 83 | Gabon | 11.66 | 2015 | up 27.7% | volatile |
| 84 | Republic of Moldova | 11.17 | 2015 | up 31.8% | volatile |
| 85 | Ghana | 10.99 | 2015 | up 31.8% | volatile |
| 86 | Madagascar | 8.71 | 2015 | up 24.5% | volatile |
| 87 | Antigua and Barbuda | 7.87 | 2015 | up 25.4% | volatile |
| 88 | Sierra Leone | 6.8 | 2015 | up 40.5% | volatile |
| 89 | Congo | 6.55 | 2015 | up 33.4% | volatile |
| 90 | Saint Kitts and Nevis | 5.01 | 2015 | up 31.1% | volatile |
| 91 | Saint Vincent and the Grenadines | 2.65 | 2015 | up 27.9% | volatile |
| 92 | Somalia | 1.54 | 2015 | up 24.8% | volatile |
| 93 | Comoros | 0.3393 | 2015 | up 37.4% | volatile |
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).