Food Household Consumption — Emissions (CO2eq) from F-gases (AR5) by country
The FAOSTAT domain on Emissions from Pre- and post- agricultural production includes the greenhouse gas (GHG) emissions, and related activity data, generated from pre- and post-agriculture production stages of the agri-food systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on...
What the numbers show
Food Household Consumption — Emissions (CO2eq) from F-gases (AR5) is currently reported for 116 countries. The highest value is 3,722 kt in OECD; the lowest is 0.0025 kt in Dominica.
The median across all reporting countries is 6.33 kt, and the mean is 107.85 kt.
Over the past decade 65 countries rose and 51 fell. The largest increase was in Azerbaijan (up 650,730.0%), and the largest decrease in China, Taiwan Province of (down 99.7%).
Food Household Consumption — Emissions (CO2eq) from F-gases: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | OECD | 3,722 kt | 2023 | up 3.5% | volatile |
| 2 | India | 3,407 kt | 2023 | up 23.7% | volatile |
| 3 | Italy | 912.14 kt | 2023 | up 122.2% | volatile |
| 4 | Brazil | 445.44 kt | 2023 | up 35.4% | volatile |
| 5 | Russian Federation | 403.93 kt | 2023 | up 139.2% | volatile |
| 6 | Mexico | 379.16 kt | 2023 | up 54.6% | volatile |
| 7 | Spain | 308.68 kt | 2023 | down 2.6% | volatile |
| 8 | Malaysia | 288.22 kt | 2023 | up 52.0% | volatile |
| 9 | Philippines | 265.19 kt | 2023 | down 1.0% | volatile |
| 10 | Argentina | 194.88 kt | 2023 | up 139.2% | volatile |
| 11 | Kazakhstan | 174.4 kt | 2023 | up 13.3% | volatile |
| 12 | Ukraine | 173.21 kt | 2023 | up 1,100.0% | volatile |
| 13 | Chile | 124.84 kt | 2023 | up 72.6% | volatile |
| 14 | Colombia | 114.29 kt | 2023 | up 96.6% | volatile |
| 15 | France | 114.19 kt | 2023 | down 59.2% | volatile |
| 16 | United Kingdom of Great Britain and Northern Ireland | 103.94 kt | 2023 | down 62.4% | volatile |
| 17 | Singapore | 90.81 kt | 2023 | up 7.8% | volatile |
| 18 | Portugal | 88.72 kt | 2023 | up 7.6% | volatile |
| 19 | Australia and New Zealand | 85.18 kt | 2023 | up 20.0% | rising |
| 20 | Greece | 81.68 kt | 2023 | down 23.0% | volatile |
| 21 | Yemen | 68.56 kt | 2023 | up 1,360.0% | volatile |
| 22 | Turkmenistan | 56.15 kt | 2023 | up 15.8% | volatile |
| 23 | Australia | 55.77 kt | 2023 | up 4.6% | rising |
| 24 | Pakistan | 52.44 kt | 2023 | down 0.4% | volatile |
| 25 | Guatemala | 49.8 kt | 2023 | up 60.4% | volatile |
| 26 | Serbia | 47.66 kt | 2023 | down 6.7% | rising |
| 27 | Poland | 41.42 kt | 2023 | up 711.8% | volatile |
| 28 | Canada | 37.73 kt | 2023 | down 55.0% | volatile |
| 29 | Brunei Darussalam | 37.09 kt | 2023 | up 26.4% | volatile |
| 30 | Peru | 31.65 kt | 2023 | up 29.3% | volatile |
| 31 | New Zealand | 29.41 kt | 2023 | up 66.4% | volatile |
| 32 | Honduras | 29.29 kt | 2023 | up 61.3% | volatile |
| 33 | Switzerland | 25.89 kt | 2023 | down 49.2% | volatile |
| 34 | Croatia | 25.23 kt | 2023 | up 0.6% | volatile |
| 35 | Israel | 25.06 kt | 2023 | up 1,029.7% | volatile |
| 36 | Uzbekistan | 24.82 kt | 2023 | up 47.8% | volatile |
| 37 | Bosnia and Herzegovina | 22.73 kt | 2023 | down 10.0% | volatile |
| 38 | China | 21.55 kt | 2023 | down 99.3% | volatile |
| 39 | China, mainland | 21.16 kt | 2023 | down 99.2% | volatile |
| 40 | Nicaragua | 19.51 kt | 2023 | up 55.9% | volatile |
| 41 | Myanmar | 19.4 kt | 2023 | up 8.1% | volatile |
| 42 | Kyrgyzstan | 18.77 kt | 2023 | up 38.0% | volatile |
| 43 | Belgium | 17.02 kt | 2023 | down 17.4% | rising |
| 44 | North Macedonia | 16.95 kt | 2023 | up 238.6% | volatile |
| 45 | Lebanon | 15.22 kt | 2023 | up 1,278.5% | volatile |
| 46 | Slovenia | 13.91 kt | 2023 | down 14.5% | volatile |
| 47 | El Salvador | 13.08 kt | 2023 | up 19.5% | volatile |
| 48 | Kuwait | 12.87 kt | 2023 | up 668.2% | volatile |
| 49 | Panama | 12.75 kt | 2023 | up 61.1% | volatile |
| 50 | Netherlands (Kingdom of the) | 12.02 kt | 2023 | down 61.7% | volatile |
| 51 | Palestine | 11.07 kt | 2023 | up 1,354.0% | volatile |
| 52 | Costa Rica | 10.76 kt | 2023 | up 20.9% | volatile |
| 53 | Albania | 9.77 kt | 2023 | up 176.7% | volatile |
| 54 | Tajikistan | 9.37 kt | 2023 | up 40.0% | volatile |
| 55 | Uruguay | 8.82 kt | 2023 | up 78.7% | volatile |
| 56 | Belarus | 7.42 kt | 2023 | up 154.0% | volatile |
| 57 | Armenia | 6.67 kt | 2023 | up 1,133.4% | volatile |
| 58 | Qatar | 6.59 kt | 2023 | up 1,410.2% | volatile |
| 59 | Ecuador | 6.07 kt | 2023 | up 29.1% | volatile |
| 60 | Indonesia | 5.84 kt | 2023 | down 29.8% | volatile |
| 61 | Malta | 5.15 kt | 2023 | up 67.5% | volatile |
| 62 | Azerbaijan | 4.97 kt | 2023 | up 650,730.0% | volatile |
| 63 | Bulgaria | 4.56 kt | 2023 | down 70.6% | volatile |
| 64 | Montenegro | 4.32 kt | 2023 | down 2.5% | rising |
| 65 | Thailand | 3.52 kt | 2012 | down 84.9% | volatile |
| 66 | Austria | 3.33 kt | 2023 | down 27.1% | volatile |
| 67 | Jamaica | 3.11 kt | 2023 | up 27.1% | volatile |
| 68 | Germany | 2.98 kt | 2023 | down 16.7% | volatile |
| 69 | Oman | 2.82 kt | 2023 | up 301.5% | volatile |
| 70 | Cyprus | 2.73 kt | 2023 | up 1,179.6% | volatile |
| 71 | Saudi Arabia | 2.62 kt | 2023 | up 751.1% | volatile |
| 72 | Ireland | 2.49 kt | 2023 | down 65.1% | volatile |
| 73 | Sweden | 2.45 kt | 2023 | down 66.3% | falling |
| 74 | United Arab Emirates | 2.43 kt | 2023 | up 666.1% | volatile |
| 75 | Finland | 2.31 kt | 2023 | down 54.1% | rising |
| 76 | Papua New Guinea | 2.18 kt | 2023 | up 73.0% | volatile |
| 77 | Suriname | 2.04 kt | 1999 | up 82.6% | volatile |
| 78 | Japan | 1.88 kt | 2023 | down 99.3% | volatile |
| 79 | Lithuania | 1.7 kt | 2023 | down 14.2% | rising |
| 80 | Jordan | 1.59 kt | 2023 | up 813.5% | volatile |
| 81 | Bahrain | 1.58 kt | 2023 | up 558.3% | volatile |
| 82 | Denmark | 1.51 kt | 2023 | down 84.8% | volatile |
| 83 | Romania | 1.5 kt | 2023 | down 98.2% | volatile |
| 84 | Czechia | 1.45 kt | 2023 | down 2.4% | volatile |
| 85 | Saint Lucia | 1.42 kt | 2023 | down 10.7% | rising |
| 86 | Norway | 1.41 kt | 2023 | down 92.5% | volatile |
| 87 | Belize | 1.18 kt | 2023 | up 65.2% | volatile |
| 88 | Latvia | 0.9196 kt | 2023 | down 14.0% | flat |
| 89 | Republic of Korea | 0.7752 kt | 2023 | down 99.3% | volatile |
| 90 | Antigua and Barbuda | 0.5715 kt | 2023 | up 27.1% | volatile |
| 91 | Andorra | 0.5387 kt | 2023 | up 66.8% | volatile |
| 92 | Estonia | 0.4359 kt | 2023 | down 54.2% | volatile |
| 93 | Georgia | 0.417 kt | 2023 | up 155.0% | volatile |
| 94 | Saint Kitts and Nevis | 0.3253 kt | 2023 | up 30.4% | volatile |
| 95 | China, Taiwan Province of | 0.2676 kt | 2023 | down 99.7% | volatile |
| 96 | San Marino | 0.2369 kt | 2023 | up 2.1% | volatile |
| 97 | Gibraltar | 0.2346 kt | 2023 | down 2.3% | volatile |
| 98 | Luxembourg | 0.2273 kt | 2023 | down 20.2% | rising |
| 99 | Saint Vincent and the Grenadines | 0.1861 kt | 2023 | up 29.8% | volatile |
| 100 | Bermuda | 0.1566 kt | 2023 | down 17.3% | volatile |
| 101 | Iraq | 0.1508 kt | 2023 | up 503.1% | volatile |
| 102 | Slovakia | 0.1501 kt | 2023 | down 98.2% | volatile |
| 103 | Greenland | 0.1389 kt | 2023 | down 15.6% | volatile |
| 104 | Iceland | 0.1184 kt | 2023 | down 27.4% | rising |
| 105 | China, Hong Kong SAR | 0.1124 kt | 2023 | down 99.2% | volatile |
| 106 | Grenada | 0.092 kt | 2023 | down 1.7% | rising |
| 107 | Isle of Man | 0.0423 kt | 2023 | down 67.4% | volatile |
| 108 | Mongolia | 0.029 kt | 2023 | down 99.3% | volatile |
| 109 | Paraguay | 0.0273 kt | 2023 | down 41.0% | volatile |
| 110 | Monaco | 0.0271 kt | 2023 | down 60.7% | volatile |
| 111 | Liechtenstein | 0.0262 kt | 2023 | down 62.0% | volatile |
| 112 | Faroe Islands | 0.0243 kt | 2023 | down 67.1% | rising |
| 113 | Hungary | 0.0219 kt | 2023 | down 98.9% | volatile |
| 114 | China, Macao SAR | 0.0099 kt | 2023 | down 99.2% | volatile |
| 115 | Holy See | 0.0095 kt | 2023 | up 60.7% | volatile |
| 116 | Dominica | 0.0025 kt | 2023 | up 34.9% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 11,931 kt
- Asia 4,765 kt
- Non-Annex I countries 8,101 kt
- Bolivia (Plurinational State of) 1,726 kt
- Americas 4,611 kt
- Small Island Developing States (SIDS) 101.62 kt
- Annex I countries 3,819 kt
- Venezuela (Bolivarian Republic of) 98.76 kt
- Low Income Food Deficit Countries (LIFDCs) 3,589 kt
- Least Developed Countries (LDCs) 87.96 kt
- Southern Asia 3,516 kt
- Iran (Islamic Republic of) 57.13 kt
- South America 2,751 kt
- Syrian Arab Republic 41.09 kt
- Europe 2,468 kt
- Türkiye 27.99 kt
- Land Locked Developing Countries (LLDCs) 2,041 kt
- Republic of Moldova 2.82 kt
- European Union (27) 1,649 kt
- Melanesia 2.18 kt
- Southern Europe 1,538 kt
- Democratic People's Republic of Korea 0.3878 kt
- Northern America 1,338 kt
- United States of America 1,300 kt
- South-Eastern Asia 706.55 kt
- Eastern Europe 636.49 kt
- Central America 515.54 kt
- Net Food Importing Developing Countries (NFIDCs) 320.5 kt
- Central Asia 283.51 kt
- Western Asia 234.46 kt
- Western Europe 175.72 kt
- Northern Europe 117.35 kt
- Oceania 87.36 kt
- Eastern Asia 24.62 kt
- Caribbean 5.71 kt
About this data
The FAOSTAT domain on Emissions from Pre- and post- agricultural production includes the greenhouse gas (GHG) emissions, and related activity data, generated from pre- and post-agriculture production stages of the agri-food systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). The domain includes methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2) and CO2 equivalent (CO2eq) emissions from the above activities as well as the aggregate fluorinated gases (F-gases) emissions. Estimates are available by country, with global coverage and are updated annually.The FAOSTAT domain disseminates information estimates of CH4, N2O, CO2 emissions, F-gases, their aggregates in CO2eq in units of kilotonnes (kt, or 10^6 kg), and the underlying activity data. CO2eq emissions are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014). Data are available for most countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups.