Food GHG emissions by system stage (Share of total) - Retail by country
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...
What the numbers show
Food GHG emissions by system stage (Share of total) - Retail is currently reported for 193 countries. The highest value is 39.96 in Malta; the lowest is 0.0001 in Paraguay.
The median across all reporting countries is 1.63, and the mean is 4.13.
Over the past decade 153 countries rose and 40 fell. The largest increase was in Niger (up 2,592.8%), and the largest decrease in Costa Rica (down 63.6%).
Food GHG emissions by system stage (Share of total) - Retail: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Malta | 39.96 | 2015 | up 20.5% | volatile |
| 1 | Cook Islands | 1.14 | 2015 | down 50.6% | rising |
| 2 | Singapore | 38.04 | 2015 | up 6.7% | rising |
| 3 | Japan | 25.15 | 2015 | up 23.5% | rising |
| 4 | United States | 21.16 | 2015 | up 8.1% | rising |
| 5 | Brunei Darussalam | 21.12 | 2015 | up 55.9% | volatile |
| 6 | Turkmenistan | 20.11 | 2015 | up 12.3% | falling |
| 7 | Switzerland | 19.75 | 2015 | up 19.6% | volatile |
| 8 | Italy | 17.52 | 2015 | up 34.0% | rising |
| 9 | Armenia | 16.78 | 2015 | up 31.8% | volatile |
| 10 | Cyprus | 16.38 | 2015 | up 10.9% | rising |
| 11 | Germany | 15.91 | 2015 | up 19.9% | rising |
| 12 | United Kingdom | 15.63 | 2015 | up 25.2% | rising |
| 13 | Israel | 14.88 | 2015 | up 4.4% | rising |
| 14 | Latvia | 14.44 | 2015 | up 17.5% | volatile |
| 15 | Hong Kong (China) | 14.33 | 2015 | down 8.5% | rising |
| 16 | Austria | 13.95 | 2015 | up 12.6% | volatile |
| 17 | Bosnia and Herzegovina | 13.81 | 2015 | up 5.1% | volatile |
| 18 | Democratic People’s Republic of Korea | 12.58 | 2015 | up 15.9% | volatile |
| 19 | Netherlands | 11.9 | 2015 | up 19.0% | rising |
| 20 | Slovenia | 11.69 | 2015 | up 30.9% | rising |
| 21 | Czechia | 11.52 | 2015 | up 9.9% | rising |
| 22 | Saint Kitts and Nevis | 11.38 | 2015 | up 53.5% | volatile |
| 23 | Belgium | 11.27 | 2015 | up 16.8% | rising |
| 24 | France | 11.03 | 2015 | up 17.6% | rising |
| 25 | Hungary | 10.37 | 2015 | up 1.5% | rising |
| 26 | Spain | 9.89 | 2015 | up 42.3% | volatile |
| 27 | Antigua and Barbuda | 9.73 | 2015 | up 72.9% | volatile |
| 28 | Luxembourg | 9.42 | 2015 | up 16.4% | volatile |
| 29 | Denmark | 9.32 | 2015 | up 21.0% | rising |
| 30 | Kuwait | 9.23 | 2015 | up 3.5% | volatile |
| 31 | Greece | 8.72 | 2015 | up 26.1% | rising |
| 32 | North Macedonia | 8.56 | 2015 | up 31.7% | volatile |
| 33 | Korea | 8.44 | 2015 | up 22.5% | rising |
| 34 | Bahrain | 8.21 | 2015 | up 53.3% | rising |
| 35 | Barbados | 7.74 | 2015 | up 31.3% | volatile |
| 36 | Mauritius | 7.45 | 2015 | up 85.2% | volatile |
| 37 | Slovak Republic | 7.3 | 2015 | down 11.6% | rising |
| 38 | Poland | 7.15 | 2015 | up 24.8% | rising |
| 39 | Portugal | 6.92 | 2015 | up 30.2% | rising |
| 40 | United Arab Emirates | 6.81 | 2015 | down 11.3% | rising |
| 41 | Bulgaria | 6.71 | 2015 | up 58.3% | volatile |
| 42 | Aruba | 6.57 | 2015 | up 101.2% | rising |
| 43 | Australia | 6.4 | 2015 | up 81.7% | volatile |
| 44 | Saudi Arabia | 6.27 | 2015 | up 39.4% | rising |
| 45 | Canada | 6.21 | 2015 | down 11.7% | rising |
| 46 | Oman | 6.09 | 2015 | up 1.5% | rising |
| 47 | Cayman Islands | 5.97 | 2015 | up 135.6% | rising |
| 48 | Türkiye | 5.85 | 2015 | up 0.7% | volatile |
| 49 | Saint Vincent and the Grenadines | 5.83 | 2015 | up 47.0% | volatile |
| 50 | Qatar | 5.75 | 2015 | up 36.3% | rising |
| 51 | Jamaica | 5.61 | 2015 | up 43.9% | rising |
| 52 | Lithuania | 5.51 | 2015 | down 0.9% | volatile |
| 53 | Bermuda | 5.47 | 2015 | up 95.6% | rising |
| 54 | Turks and Caicos Islands | 5.36 | 2015 | up 1,478.8% | volatile |
| 55 | Chinese Taipei | 5.1 | 2015 | up 10.6% | rising |
| 56 | Ireland | 5.09 | 2015 | up 11.1% | volatile |
| 57 | Finland | 4.99 | 2015 | up 140.2% | volatile |
| 58 | British Virgin Islands | 4.91 | 2015 | up 373.2% | volatile |
| 59 | Estonia | 4.34 | 2015 | down 0.8% | rising |
| 60 | Russia | 4.32 | 2015 | up 53.2% | volatile |
| 61 | Bahamas | 4.07 | 2015 | up 95.8% | rising |
| 62 | Kazakhstan | 3.94 | 2015 | up 17.8% | volatile |
| 63 | Romania | 3.84 | 2015 | up 31.3% | volatile |
| 64 | South Africa | 3.64 | 2015 | up 4.9% | rising |
| 65 | Jordan | 3.63 | 2015 | down 35.7% | rising |
| 66 | Iceland | 3.52 | 2015 | up 26.0% | volatile |
| 67 | Palau | 3.5 | 2015 | down 54.2% | rising |
| 68 | Gabon | 3.44 | 2015 | up 2.2% | falling |
| 69 | Uzbekistan | 3.39 | 2015 | down 32.6% | rising |
| 70 | Grenada | 3.35 | 2015 | up 178.8% | volatile |
| 71 | Iran | 3.21 | 2015 | down 16.5% | flat |
| 72 | Sweden | 3.11 | 2015 | up 21.5% | volatile |
| 73 | Croatia | 3.05 | 2015 | up 20.2% | rising |
| 74 | Norway | 3.04 | 2015 | up 45.8% | volatile |
| 75 | New Caledonia | 2.72 | 2015 | down 1.9% | rising |
| 76 | Moldova | 2.48 | 2015 | up 39.2% | rising |
| 77 | Guatemala | 2.31 | 2015 | up 31.1% | volatile |
| 78 | Saint Lucia | 2.3 | 2015 | up 201.2% | volatile |
| 79 | Trinidad and Tobago | 2.23 | 2015 | up 67.4% | rising |
| 80 | Libya | 2.21 | 2015 | down 17.1% | rising |
| 81 | China (People's Republic of) | 2.19 | 2015 | up 45.3% | rising |
| 82 | El Salvador | 2.19 | 2015 | up 50.0% | volatile |
| 83 | Albania | 2.09 | 2015 | up 1.9% | rising |
| 84 | Maldives | 2.05 | 2015 | down 37.1% | volatile |
| 85 | Azerbaijan | 2.02 | 2015 | up 94.3% | flat |
| 86 | New Zealand | 2.01 | 2015 | up 11.7% | volatile |
| 87 | Macau (China) | 2.01 | 2015 | down 60.3% | rising |
| 88 | Egypt | 1.94 | 2015 | up 32.0% | rising |
| 89 | Seychelles | 1.92 | 2015 | up 52.5% | volatile |
| 90 | Lebanon | 1.88 | 2015 | up 18.7% | rising |
| 91 | Chile | 1.78 | 2015 | up 88.4% | rising |
| 92 | Georgia | 1.72 | 2015 | up 87.1% | volatile |
| 93 | Tunisia | 1.68 | 2015 | down 24.4% | flat |
| 94 | Algeria | 1.68 | 2015 | down 17.4% | falling |
| 95 | Cuba | 1.67 | 2015 | up 5.4% | rising |
| 96 | Malaysia | 1.64 | 2015 | up 86.6% | volatile |
| 97 | Belarus | 1.63 | 2015 | up 10.8% | rising |
| 98 | Gibraltar | 1.6 | 2015 | up 332.5% | volatile |
| 99 | Ukraine | 1.53 | 2015 | up 16.7% | rising |
| 100 | Philippines | 1.43 | 2015 | up 124.4% | rising |
| 101 | Mexico | 1.28 | 2015 | up 10.2% | rising |
| 102 | French Polynesia | 1.22 | 2015 | down 54.8% | rising |
| 103 | Thailand | 1.08 | 2015 | up 61.0% | rising |
| 104 | Angola | 1.07 | 2015 | up 96.9% | rising |
| 105 | Syrian Arab Republic | 1.07 | 2015 | down 34.5% | falling |
| 106 | Iraq | 0.973 | 2015 | up 89.6% | rising |
| 107 | Dominican Republic | 0.9422 | 2015 | up 38.1% | rising |
| 108 | Puerto Rico | 0.8389 | 2015 | up 32.4% | rising |
| 109 | Rwanda | 0.7651 | 2015 | up 16.7% | volatile |
| 110 | Cabo Verde | 0.7624 | 2015 | up 324.4% | volatile |
| 111 | Côte d’Ivoire | 0.7458 | 2015 | up 17.7% | rising |
| 112 | Greenland | 0.727 | 2015 | down 33.6% | falling |
| 113 | Ecuador | 0.7099 | 2015 | up 43.9% | volatile |
| 114 | Panama | 0.7008 | 2015 | up 91.0% | rising |
| 115 | Dominica | 0.6971 | 2015 | up 519.5% | volatile |
| 116 | Morocco | 0.6473 | 2015 | down 9.3% | rising |
| 117 | Venezuela | 0.6354 | 2015 | up 75.7% | volatile |
| 118 | Equatorial Guinea | 0.6336 | 2015 | up 455.7% | volatile |
| 119 | Viet Nam | 0.6182 | 2015 | down 7.3% | rising |
| 120 | Peru | 0.6127 | 2015 | up 29.4% | volatile |
| 121 | Sao Tome and Principe | 0.5984 | 2015 | up 130.7% | volatile |
| 122 | India | 0.5812 | 2015 | up 66.4% | rising |
| 123 | Sri Lanka | 0.5796 | 2015 | up 78.6% | volatile |
| 124 | Kyrgyzstan | 0.576 | 2015 | down 18.8% | rising |
| 125 | Ghana | 0.5009 | 2015 | up 89.2% | volatile |
| 126 | Nicaragua | 0.4726 | 2015 | up 288.0% | volatile |
| 127 | Costa Rica | 0.4694 | 2015 | down 63.6% | volatile |
| 128 | Mongolia | 0.4591 | 2015 | up 50.9% | rising |
| 129 | Kiribati | 0.4214 | 2015 | down 48.4% | rising |
| 130 | Tonga | 0.413 | 2015 | down 37.0% | rising |
| 131 | Argentina | 0.4003 | 2015 | up 58.5% | rising |
| 132 | Colombia | 0.3708 | 2015 | up 384.6% | volatile |
| 133 | Nigeria | 0.3343 | 2015 | up 48.0% | volatile |
| 134 | Brazil | 0.3158 | 2015 | up 118.5% | volatile |
| 135 | Uruguay | 0.3109 | 2015 | up 15.0% | volatile |
| 136 | Afghanistan | 0.3087 | 2015 | up 697.5% | volatile |
| 137 | Pakistan | 0.304 | 2015 | up 3.9% | rising |
| 138 | Fiji | 0.2926 | 2015 | down 44.5% | volatile |
| 139 | Mozambique | 0.2569 | 2015 | up 36.9% | volatile |
| 140 | Eswatini | 0.2528 | 2015 | down 34.9% | volatile |
| 141 | Tajikistan | 0.2138 | 2015 | down 19.1% | volatile |
| 142 | Samoa | 0.2054 | 2015 | down 40.1% | rising |
| 143 | Djibouti | 0.1916 | 2015 | down 22.0% | rising |
| 144 | Bhutan | 0.1906 | 2015 | up 22.0% | volatile |
| 145 | Suriname | 0.1827 | 2015 | down 16.7% | volatile |
| 146 | Niger | 0.1805 | 2015 | up 2,592.8% | volatile |
| 147 | Comoros | 0.1744 | 2015 | up 56.5% | volatile |
| 148 | Indonesia | 0.1589 | 2015 | up 1.0% | volatile |
| 149 | Senegal | 0.1462 | 2015 | up 40.9% | volatile |
| 150 | Sierra Leone | 0.1326 | 2015 | up 115.0% | volatile |
| 151 | Benin | 0.1214 | 2015 | up 39.8% | rising |
| 152 | Honduras | 0.1199 | 2015 | down 34.4% | rising |
| 153 | Nepal | 0.1178 | 2015 | up 107.7% | volatile |
| 154 | Lesotho | 0.1095 | 2015 | up 376.8% | volatile |
| 155 | Liberia | 0.1077 | 2015 | up 8.3% | volatile |
| 156 | Eritrea | 0.1016 | 2015 | down 9.8% | rising |
| 157 | Gambia | 0.0997 | 2015 | up 107.7% | volatile |
| 158 | Togo | 0.0992 | 2015 | up 25.6% | rising |
| 159 | Papua New Guinea | 0.0974 | 2015 | down 44.4% | volatile |
| 160 | Bangladesh | 0.0959 | 2015 | up 67.7% | rising |
| 161 | Belize | 0.0819 | 2015 | up 134.8% | volatile |
| 162 | Mauritania | 0.0652 | 2015 | up 14.0% | rising |
| 163 | Cambodia | 0.0622 | 2015 | up 231.2% | volatile |
| 164 | Bolivia | 0.0595 | 2015 | up 88.6% | volatile |
| 165 | Haiti | 0.0579 | 2015 | up 40.8% | rising |
| 166 | Madagascar | 0.0567 | 2015 | up 145.2% | volatile |
| 167 | Vanuatu | 0.0555 | 2015 | down 27.9% | rising |
| 168 | Congo | 0.0528 | 2015 | up 34.5% | rising |
| 169 | Sudan | 0.0522 | 2015 | up 65.8% | volatile |
| 170 | Cameroon | 0.0488 | 2015 | up 104.9% | falling |
| 171 | Myanmar | 0.0477 | 2015 | up 43.7% | volatile |
| 172 | Mali | 0.0459 | 2015 | up 3.8% | rising |
| 173 | Ethiopia | 0.0399 | 2015 | up 11.2% | rising |
| 174 | Botswana | 0.0375 | 2015 | up 42.2% | rising |
| 175 | Malawi | 0.0345 | 2015 | up 7.9% | volatile |
| 176 | Guyana | 0.0336 | 2015 | up 106.3% | rising |
| 177 | Guinea-Bissau | 0.0275 | 2015 | up 44.2% | volatile |
| 178 | Solomon Islands | 0.026 | 2015 | down 56.3% | rising |
| 179 | Burkina Faso | 0.0254 | 2015 | up 182.5% | volatile |
| 180 | Guinea | 0.0247 | 2015 | up 127.0% | volatile |
| 181 | Lao People’s Democratic Republic | 0.0147 | 2015 | up 12.3% | volatile |
| 182 | Kenya | 0.0136 | 2015 | down 40.4% | volatile |
| 183 | Somalia | 0.0134 | 2015 | up 56.7% | volatile |
| 184 | Timor-Leste | 0.0131 | 2015 | up 59.4% | volatile |
| 185 | Uganda | 0.0126 | 2015 | up 119.4% | volatile |
| 186 | Tanzania | 0.0117 | 2015 | up 111.3% | volatile |
| 187 | Burundi | 0.0115 | 2015 | up 63.2% | rising |
| 188 | Namibia | 0.0073 | 2015 | down 3.3% | rising |
| 189 | Central African Republic | 0.0063 | 2015 | up 135.4% | volatile |
| 190 | Chad | 0.0051 | 2015 | up 12.6% | rising |
| 191 | Democratic Republic of the Congo | 0.0022 | 2015 | up 11.8% | volatile |
| 192 | Paraguay | 0.0001 | 2015 | down 35.0% | falling |
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).