Food Packaging — Emissions (CH4) 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 Packaging — Emissions (CH4) is currently reported for 133 countries. The highest value is 129.59 kt in China; the lowest is 0 kt in Guyana.
The median across all reporting countries is 0.0056 kt, and the mean is 2.14 kt.
Over the past decade 61 countries rose and 62 fell. The largest increase was in Uzbekistan (up 104,189.0%), and the largest decrease in Guyana (down 100.0%).
Food Packaging — Emissions: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 129.59 kt | 2023 | down 9.9% | volatile |
| 2 | China, mainland | 127.53 kt | 2023 | down 9.1% | volatile |
| 3 | OECD | 6.27 kt | 2023 | down 30.7% | falling |
| 4 | Indonesia | 3.42 kt | 2023 | up 544.3% | volatile |
| 5 | India | 3.19 kt | 2023 | up 5.8% | rising |
| 6 | China, Taiwan Province of | 2.06 kt | 2023 | down 39.9% | falling |
| 7 | Brazil | 1.87 kt | 2023 | up 425.9% | volatile |
| 8 | Viet Nam | 1.48 kt | 2023 | up 3,661.1% | volatile |
| 9 | Japan | 1.46 kt | 2023 | down 33.2% | flat |
| 10 | Kazakhstan | 1.18 kt | 2023 | up 24.2% | volatile |
| 11 | Colombia | 0.5015 kt | 2023 | up 295.1% | volatile |
| 12 | Russian Federation | 0.5002 kt | 2023 | up 76.1% | volatile |
| 13 | Republic of Korea | 0.4616 kt | 2023 | down 1.9% | rising |
| 14 | Türkiye | 0.4494 kt | 2023 | up 349.2% | volatile |
| 15 | France | 0.4089 kt | 2023 | up 86.3% | volatile |
| 16 | Australia and New Zealand | 0.379 kt | 2023 | up 20.9% | falling |
| 17 | Australia | 0.376 kt | 2023 | up 21.3% | falling |
| 18 | Canada | 0.3463 kt | 2023 | down 11.2% | falling |
| 19 | Germany | 0.3408 kt | 2023 | down 28.8% | falling |
| 20 | Thailand | 0.3328 kt | 2023 | up 49.2% | volatile |
| 21 | Poland | 0.3121 kt | 2023 | down 32.4% | volatile |
| 22 | United Kingdom of Great Britain and Northern Ireland | 0.1591 kt | 2023 | down 38.9% | volatile |
| 23 | Slovakia | 0.1311 kt | 2023 | down 41.8% | falling |
| 24 | Finland | 0.1155 kt | 2023 | up 124.4% | rising |
| 25 | Italy | 0.0992 kt | 2023 | down 3.8% | falling |
| 26 | Spain | 0.0972 kt | 2023 | down 22.9% | falling |
| 27 | Sweden | 0.0969 kt | 2023 | down 11.8% | rising |
| 28 | Ukraine | 0.0867 kt | 2023 | down 65.7% | volatile |
| 29 | Norway | 0.0773 kt | 2023 | up 16.4% | falling |
| 30 | Austria | 0.0512 kt | 2023 | down 47.6% | rising |
| 31 | Uganda | 0.0493 kt | 2023 | up 1,184.9% | volatile |
| 32 | Mexico | 0.0448 kt | 2023 | down 28.1% | falling |
| 33 | Algeria | 0.0355 kt | 2023 | up 144.3% | volatile |
| 34 | Tajikistan | 0.0317 kt | 2023 | up 718.1% | volatile |
| 35 | Belgium | 0.0308 kt | 2023 | down 49.3% | falling |
| 36 | Myanmar | 0.0298 kt | 2023 | down 0.2% | volatile |
| 37 | Czechia | 0.0258 kt | 2023 | down 49.8% | volatile |
| 38 | Chile | 0.0238 kt | 2023 | down 34.4% | volatile |
| 39 | Netherlands (Kingdom of the) | 0.0214 kt | 2023 | down 59.8% | falling |
| 40 | Uzbekistan | 0.0198 kt | 2023 | up 104,189.0% | volatile |
| 41 | Zimbabwe | 0.0189 kt | 2023 | up 196.4% | volatile |
| 42 | Romania | 0.0187 kt | 2023 | down 49.0% | flat |
| 43 | Caribbean | 0.0166 kt | 2023 | up 253.7% | volatile |
| 44 | Qatar | 0.0159 kt | 2023 | up 213.4% | volatile |
| 45 | Bosnia and Herzegovina | 0.0158 kt | 2023 | up 570.0% | volatile |
| 46 | Iceland | 0.0152 kt | 2023 | down 55.3% | rising |
| 47 | Dominican Republic | 0.0151 kt | 2023 | up 454.8% | volatile |
| 48 | Portugal | 0.0149 kt | 2023 | down 4.5% | falling |
| 49 | Argentina | 0.0143 kt | 2012 | up 629.4% | volatile |
| 50 | Hungary | 0.0143 kt | 2023 | up 78.9% | rising |
| 51 | Pakistan | 0.0135 kt | 2023 | up 2,119.0% | volatile |
| 52 | Bulgaria | 0.0127 kt | 2023 | up 73.5% | rising |
| 53 | Bahrain | 0.0116 kt | 2023 | up 32.1% | rising |
| 54 | Peru | 0.0114 kt | 2023 | down 35.9% | volatile |
| 55 | Serbia | 0.0112 kt | 2023 | up 118.2% | flat |
| 56 | Bolivia (Plurinational State of) | 0.0108 kt | 2023 | up 1,026.7% | volatile |
| 57 | Morocco | 0.0102 kt | 2023 | up 7.7% | volatile |
| 58 | Greece | 0.0079 kt | 2023 | down 93.0% | volatile |
| 59 | Venezuela (Bolivarian Republic of) | 0.0078 kt | 2023 | down 64.0% | volatile |
| 60 | Mozambique | 0.0068 kt | 2023 | up 132.0% | volatile |
| 61 | Serbia and Montenegro | 0.0067 kt | 2004 | up 4,932.8% | volatile |
| 62 | Philippines | 0.0066 kt | 2023 | down 20.0% | rising |
| 63 | Tunisia | 0.0064 kt | 2023 | down 2.9% | volatile |
| 64 | Uruguay | 0.006 kt | 2023 | up 17,452.9% | volatile |
| 65 | Ireland | 0.0058 kt | 2023 | up 15.4% | falling |
| 66 | Belarus | 0.0057 kt | 2023 | down 33.9% | falling |
| 67 | Switzerland | 0.0056 kt | 2023 | down 29.3% | volatile |
| 68 | Azerbaijan | 0.0055 kt | 2023 | up 93.8% | volatile |
| 69 | Luxembourg | 0.0051 kt | 2023 | down 18.9% | volatile |
| 70 | Senegal | 0.0048 kt | 2023 | up 83.7% | volatile |
| 71 | Slovenia | 0.0046 kt | 2023 | down 14.2% | rising |
| 72 | Angola | 0.0043 kt | 2023 | up 306.0% | volatile |
| 73 | Egypt | 0.0038 kt | 2023 | up 236.9% | volatile |
| 74 | Albania | 0.0037 kt | 2023 | up 2,039.5% | volatile |
| 75 | Kyrgyzstan | 0.0033 kt | 2023 | up 268.0% | volatile |
| 76 | Iran (Islamic Republic of) | 0.0033 kt | 2023 | up 53.7% | volatile |
| 77 | New Zealand | 0.003 kt | 2023 | down 18.0% | falling |
| 78 | Zambia | 0.0028 kt | 2023 | up 20.1% | falling |
| 79 | Denmark | 0.0027 kt | 2023 | down 31.7% | volatile |
| 80 | Saudi Arabia | 0.0026 kt | 2023 | down 52.2% | volatile |
| 81 | New Caledonia | 0.0026 kt | 2023 | down 13.2% | rising |
| 81 | Melanesia | 0.0026 kt | 2023 | down 13.2% | rising |
| 83 | Croatia | 0.0026 kt | 2023 | up 34.8% | volatile |
| 84 | Eswatini | 0.0023 kt | 2023 | — | volatile |
| 85 | Honduras | 0.0019 kt | 2023 | up 13.6% | volatile |
| 86 | United Republic of Tanzania | 0.0018 kt | 2023 | up 569.8% | volatile |
| 87 | Cameroon | 0.0017 kt | 2023 | up 63.0% | volatile |
| 88 | Malawi | 0.0013 kt | 2023 | up 81.3% | rising |
| 89 | Armenia | 0.0013 kt | 2023 | up 19.1% | volatile |
| 90 | Georgia | 0.0013 kt | 2023 | up 165.5% | volatile |
| 91 | Costa Rica | 0.0012 kt | 2023 | up 40.0% | volatile |
| 92 | Oman | 0.0012 kt | 2023 | down 45.8% | falling |
| 93 | Trinidad and Tobago | 0.0012 kt | 2023 | down 34.4% | rising |
| 94 | Cyprus | 0.0011 kt | 2023 | up 54.1% | falling |
| 95 | North Macedonia | 0.0009 kt | 2023 | down 72.1% | volatile |
| 96 | Nigeria | 0.0009 kt | 2023 | up 115.9% | volatile |
| 97 | Estonia | 0.0008 kt | 2023 | down 30.2% | falling |
| 98 | Sudan (former) | 0.0008 kt | 2011 | — | volatile |
| 99 | Kuwait | 0.0007 kt | 2023 | up 41.1% | volatile |
| 100 | Côte d'Ivoire | 0.0007 kt | 2023 | up 244.7% | volatile |
| 101 | Benin | 0.0007 kt | 2023 | down 30.5% | volatile |
| 102 | Latvia | 0.0006 kt | 2023 | down 25.7% | falling |
| 103 | Malaysia | 0.0006 kt | 2023 | — | volatile |
| 104 | Lithuania | 0.0006 kt | 2023 | down 17.3% | volatile |
| 105 | Republic of Moldova | 0.0005 kt | 2023 | down 2.2% | volatile |
| 106 | Togo | 0.0004 kt | 2023 | down 52.7% | falling |
| 107 | Iraq | 0.0004 kt | 2010 | down 65.7% | falling |
| 108 | Bangladesh | 0.0004 kt | 1998 | up 1,016.2% | volatile |
| 109 | Jamaica | 0.0004 kt | 2023 | up 79.9% | volatile |
| 110 | Democratic Republic of the Congo | 0.0003 kt | 2023 | — | volatile |
| 111 | Nauru | 0.0002 kt | 2001 | down 42.2% | falling |
| 111 | Micronesia | 0.0002 kt | 2001 | down 42.2% | falling |
| 113 | Malta | 0.0002 kt | 2023 | up 79.6% | rising |
| 114 | Burkina Faso | 0.0002 kt | 2023 | — | flat |
| 115 | Jordan | 0.0002 kt | 2023 | down 84.7% | volatile |
| 116 | Montenegro | 0.0002 kt | 2023 | down 64.1% | volatile |
| 117 | Turkmenistan | 0.0001 kt | 2023 | up 46.0% | rising |
| 118 | Singapore | 0.0001 kt | 2023 | down 59.6% | volatile |
| 119 | Ghana | 0.0001 kt | 2023 | — | volatile |
| 120 | Botswana | 0.0001 kt | 2023 | up 760.0% | volatile |
| 121 | Israel | 0.0001 kt | 2023 | down 8.0% | volatile |
| 122 | Brunei Darussalam | 0.0001 kt | 2023 | — | volatile |
| 123 | United Arab Emirates | 0.0001 kt | 2023 | up 8.3% | volatile |
| 124 | Suriname | 0 kt | 2019 | down 94.9% | volatile |
| 125 | Syrian Arab Republic | 0 kt | 2023 | down 49.2% | volatile |
| 126 | Democratic People's Republic of Korea | 0 kt | 2023 | down 77.0% | volatile |
| 127 | Palestine | 0 kt | 2023 | unchanged | falling |
| 128 | Sri Lanka | 0 kt | 2016 | down 38.5% | rising |
| 129 | Greenland | 0 kt | 2023 | down 50.0% | falling |
| 129 | El Salvador | 0 kt | 2023 | down 66.7% | falling |
| 131 | Cuba | 0 kt | 2023 | — | volatile |
| 131 | Gabon | 0 kt | 2023 | — | flat |
| 131 | Guyana | 0 kt | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 150.79 kt
- Non-Annex I countries 144.42 kt
- Asia 141.72 kt
- Eastern Asia 131.51 kt
- Annex I countries 6.37 kt
- South-eastern Asia 5.27 kt
- Low Income Food Deficit Countries (LIFDCs) 4.82 kt
- Americas 3.9 kt
- Southern Asia 3.21 kt
- Europe 2.7 kt
- Latin America and the Caribbean 2.5 kt
- South America 2.43 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.