Food Packaging — Energy Use (Coal) 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 — Energy Use (Coal) is currently reported for 68 countries. The highest value is 654,509 TJ in China; the lowest is 0.0024 TJ in Guyana.
The median across all reporting countries is 195.4 TJ, and the mean is 21,899 TJ.
Over the past decade 32 countries rose and 33 fell. The largest increase was in Bosnia and Herzegovina (up 126,214.0%), and the largest decrease in Ireland (down 95.7%).
Food Packaging — Energy Use: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 654,509 TJ | 2023 | down 10.5% | volatile |
| 2 | China, mainland | 635,758 TJ | 2023 | down 9.2% | volatile |
| 2 | Viet Nam | 6,922 TJ | 2023 | up 4,716.3% | volatile |
| 3 | OECD | 46,351 TJ | 2023 | down 35.5% | falling |
| 3 | Türkiye | 4,959 TJ | 2023 | up 333.6% | volatile |
| 4 | South Africa | 18,976 TJ | 2023 | up 65.4% | volatile |
| 5 | China, Taiwan Province of | 18,750 TJ | 2023 | down 40.6% | falling |
| 5 | Bolivia (Plurinational State of) | 104.42 TJ | 2023 | up 1,027.0% | volatile |
| 6 | Indonesia | 17,026 TJ | 2023 | up 598.6% | volatile |
| 7 | India | 15,658 TJ | 2023 | up 7.1% | rising |
| 8 | Japan | 12,358 TJ | 2023 | down 33.9% | rising |
| 9 | Kazakhstan | 11,009 TJ | 2023 | up 6.8% | falling |
| 10 | Brazil | 8,610 TJ | 2023 | up 488.8% | volatile |
| 11 | Colombia | 4,453 TJ | 2023 | up 1,093.5% | volatile |
| 12 | Republic of Korea | 4,163 TJ | 2023 | up 4.0% | volatile |
| 13 | France | 3,324 TJ | 2023 | up 107.6% | volatile |
| 14 | Australia and New Zealand | 3,098 TJ | 2023 | up 36.0% | falling |
| 15 | Australia | 3,085 TJ | 2023 | up 35.4% | falling |
| 16 | Germany | 2,903 TJ | 2023 | down 30.1% | falling |
| 17 | Poland | 2,688 TJ | 2023 | down 35.5% | volatile |
| 18 | Canada | 2,125 TJ | 2023 | down 21.1% | falling |
| 19 | Thailand | 2,106 TJ | 2023 | up 90.2% | volatile |
| 20 | Russian Federation | 1,999 TJ | 2023 | up 1,380.7% | volatile |
| 21 | Greece | 1,323 TJ | 2016 | up 69.1% | rising |
| 22 | Slovakia | 1,150 TJ | 2023 | down 42.1% | falling |
| 23 | Ukraine | 789.37 TJ | 2023 | down 65.1% | volatile |
| 24 | Finland | 770.56 TJ | 2023 | up 373.9% | volatile |
| 25 | United Kingdom of Great Britain and Northern Ireland | 464.41 TJ | 2023 | down 72.7% | volatile |
| 26 | Norway | 417.81 TJ | 2023 | down 1.7% | falling |
| 27 | Spain | 389.11 TJ | 2023 | down 40.5% | rising |
| 28 | Sweden | 386.07 TJ | 2023 | down 32.6% | flat |
| 29 | Austria | 282.06 TJ | 2023 | down 56.0% | rising |
| 30 | Tajikistan | 281.99 TJ | 2023 | up 121.2% | volatile |
| 31 | Iceland | 236.99 TJ | 2015 | up 35.8% | rising |
| 32 | Czechia | 204.6 TJ | 2023 | down 54.8% | volatile |
| 33 | Italy | 186.2 TJ | 2023 | up 47.1% | falling |
| 34 | Zimbabwe | 167.41 TJ | 2023 | up 210.7% | volatile |
| 35 | Serbia | 149.73 TJ | 2023 | up 308.6% | volatile |
| 36 | Myanmar | 147.31 TJ | 2023 | down 1.2% | rising |
| 37 | Bosnia and Herzegovina | 126.04 TJ | 2023 | up 126,214.0% | volatile |
| 38 | Romania | 118.18 TJ | 2023 | down 61.5% | volatile |
| 39 | Peru | 98.3 TJ | 2023 | down 37.6% | volatile |
| 40 | Belgium | 87.66 TJ | 2023 | down 71.1% | falling |
| 41 | Uzbekistan | 86.85 TJ | 2023 | up 242.7% | rising |
| 42 | Bulgaria | 75.68 TJ | 2023 | up 86.7% | rising |
| 43 | Hungary | 44.94 TJ | 2023 | up 1,287.5% | volatile |
| 44 | Netherlands (Kingdom of the) | 38.57 TJ | 2023 | down 86.8% | volatile |
| 45 | Albania | 31.79 TJ | 2023 | down 90.3% | volatile |
| 46 | Kyrgyzstan | 29.56 TJ | 2023 | up 342.1% | volatile |
| 47 | Eswatini | 21.28 TJ | 2023 | — | volatile |
| 48 | Morocco | 18.91 TJ | 2023 | up 162.9% | rising |
| 49 | New Zealand | 12.88 TJ | 2023 | up 6.1% | rising |
| 50 | Switzerland | 12.7 TJ | 2023 | down 54.9% | volatile |
| 51 | Slovenia | 11.96 TJ | 2023 | down 88.1% | volatile |
| 52 | Croatia | 9.07 TJ | 2023 | up 2,050.8% | volatile |
| 53 | Georgia | 7.05 TJ | 2023 | up 1,012.9% | volatile |
| 54 | Montenegro | 6.53 TJ | 2023 | up 36.4% | falling |
| 55 | Luxembourg | 5.77 TJ | 2023 | down 77.8% | volatile |
| 56 | North Macedonia | 5.58 TJ | 2023 | down 92.4% | volatile |
| 57 | Portugal | 5.32 TJ | 2023 | down 77.0% | volatile |
| 58 | Denmark | 2.36 TJ | 2017 | — | volatile |
| 59 | Chile | 2.15 TJ | 2023 | down 42.7% | volatile |
| 60 | Belarus | 1.69 TJ | 2011 | down 38.0% | volatile |
| 61 | Latvia | 0.4496 TJ | 2023 | down 75.9% | volatile |
| 62 | Estonia | 0.4225 TJ | 2017 | down 92.3% | volatile |
| 63 | Ireland | 0.3037 TJ | 2017 | down 95.7% | volatile |
| 64 | Lithuania | 0.2155 TJ | 2017 | — | volatile |
| 65 | Guyana | 0.0024 TJ | 2023 | down 94.5% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 789,894 TJ
- Asia 729,263 TJ
- Non-Annex I countries 744,717 TJ
- Eastern Asia 671,030 TJ
- Annex I countries 45,177 TJ
- Least Developed Countries (LDCs) 147.31 TJ
- South-Eastern Asia 26,201 TJ
- Low Income Food Deficit Countries (LIFDCs) 23,146 TJ
- Small island developing States (SIDS) 0.0024 TJ
- Americas 21,665 TJ
- Africa 19,184 TJ
- Sub-Saharan Africa 19,165 TJ
- Southern Africa 18,997 TJ
- Europe 16,684 TJ
- Southern Asia 15,658 TJ
- South America 13,268 TJ
- Latin America and the Caribbean 13,268 TJ
- European Union (27) 12,682 TJ
- Land Locked Developing Countries (LLDCs) 11,706 TJ
- Central Asia 11,407 TJ
- Northern America 8,396 TJ
- Eastern Europe 7,070 TJ
- Western Europe 6,654 TJ
- United States of America 6,271 TJ
- Western Asia 4,966 TJ
- Oceania 3,098 TJ
- Northern Europe 2,039 TJ
- Southern Europe 921.34 TJ
- Net Food Importing Developing Countries (NFIDCs) 285.8 TJ
- Eastern Africa 167.41 TJ
- Northern Africa 18.91 TJ
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.