Food Transport — Energy Use (Total) 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 Transport — Energy Use (Total) is currently reported for 75 countries. The highest value is 71,534 TJ in China; the lowest is 0.1635 TJ in Sri Lanka.
The median across all reporting countries is 107.95 TJ, and the mean is 3,931 TJ.
Over the past decade 43 countries rose and 29 fell. The largest increase was in India (up 19,035.1%), and the largest decrease in Sweden (down 87.7%).
Food Transport — Energy Use: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 71,534 TJ | 2023 | up 56.3% | rising |
| 2 | China, mainland | 71,512 TJ | 2023 | up 56.3% | rising |
| 3 | Iran (Islamic Republic of) | 38,144 TJ | 2023 | up 42.9% | volatile |
| 4 | Uzbekistan | 19,172 TJ | 2023 | up 7,451.6% | volatile |
| 5 | India | 17,146 TJ | 2023 | up 19,035.1% | volatile |
| 6 | OECD | 14,636 TJ | 2023 | up 9.0% | volatile |
| 7 | Argentina | 9,624 TJ | 2023 | down 9.4% | falling |
| 8 | Brazil | 8,813 TJ | 2023 | up 10.5% | volatile |
| 9 | Thailand | 5,314 TJ | 2023 | down 58.2% | volatile |
| 10 | Republic of Korea | 4,723 TJ | 2023 | down 21.2% | rising |
| 11 | Bangladesh | 4,530 TJ | 2023 | down 2.4% | volatile |
| 12 | Peru | 3,809 TJ | 2023 | up 15.5% | rising |
| 13 | Egypt | 3,653 TJ | 2023 | up 90.8% | rising |
| 14 | Bolivia (Plurinational State of) | 3,376 TJ | 2023 | up 23.1% | volatile |
| 15 | Pakistan | 2,649 TJ | 2023 | down 73.4% | volatile |
| 16 | Italy | 2,392 TJ | 2023 | down 13.2% | rising |
| 17 | Armenia | 2,130 TJ | 2023 | up 10.8% | rising |
| 18 | Colombia | 1,827 TJ | 2023 | down 41.8% | volatile |
| 19 | Russian Federation | 1,192 TJ | 2023 | up 478.1% | volatile |
| 20 | France | 1,082 TJ | 2023 | up 259.4% | volatile |
| 21 | Myanmar | 848.54 TJ | 2023 | down 3.1% | volatile |
| 22 | Spain | 835.7 TJ | 2023 | up 255.7% | volatile |
| 23 | Georgia | 835.3 TJ | 2023 | up 88.1% | volatile |
| 24 | Germany | 524.93 TJ | 2023 | down 12.2% | volatile |
| 25 | Türkiye | 361.81 TJ | 2023 | down 0.4% | volatile |
| 26 | Norway | 327.79 TJ | 2023 | down 9.4% | volatile |
| 27 | United Kingdom of Great Britain and Northern Ireland | 319.23 TJ | 2023 | up 474.9% | volatile |
| 28 | Czechia | 259.48 TJ | 2023 | up 397.1% | volatile |
| 29 | Canada | 255.64 TJ | 2023 | up 56.4% | falling |
| 30 | Bulgaria | 218.22 TJ | 2023 | down 9.3% | volatile |
| 31 | Belgium | 215.51 TJ | 2023 | up 7,280.4% | volatile |
| 32 | Netherlands (Kingdom of the) | 209.71 TJ | 2023 | up 135.9% | volatile |
| 33 | Malaysia | 183.46 TJ | 2023 | down 86.2% | volatile |
| 34 | Indonesia | 164.25 TJ | 2023 | up 27.0% | volatile |
| 35 | Kazakhstan | 127.71 TJ | 2023 | up 392.7% | volatile |
| 36 | Serbia | 112.6 TJ | 2023 | up 491.7% | volatile |
| 37 | Portugal | 110.74 TJ | 2023 | up 163.4% | volatile |
| 38 | Ukraine | 107.95 TJ | 2023 | down 61.2% | volatile |
| 39 | Dominican Republic | 99.81 TJ | 2023 | down 4.5% | rising |
| 39 | Caribbean | 99.81 TJ | 2023 | down 4.5% | rising |
| 41 | Australia | 98.28 TJ | 2023 | down 71.0% | volatile |
| 41 | Australia and New Zealand | 98.28 TJ | 2023 | down 71.3% | flat |
| 43 | Poland | 94.85 TJ | 2023 | — | volatile |
| 44 | Japan | 92.61 TJ | 2023 | down 79.1% | volatile |
| 45 | Greece | 85.34 TJ | 2023 | up 87.3% | volatile |
| 46 | Mexico | 76.01 TJ | 2023 | down 17.2% | volatile |
| 47 | Azerbaijan | 65.31 TJ | 2023 | up 204.2% | volatile |
| 48 | Switzerland | 64.36 TJ | 2023 | down 24.0% | rising |
| 49 | Austria | 62.2 TJ | 2023 | up 17.2% | volatile |
| 50 | Estonia | 56.35 TJ | 2023 | up 1,829.7% | volatile |
| 51 | Zimbabwe | 55.65 TJ | 2023 | up 20.9% | volatile |
| 52 | Chile | 42.36 TJ | 2023 | down 70.6% | volatile |
| 53 | Belarus | 41.21 TJ | 2023 | down 53.7% | volatile |
| 54 | Nepal | 39.99 TJ | 1997 | up 900.0% | volatile |
| 55 | Denmark | 37.26 TJ | 2023 | up 507.7% | rising |
| 56 | Viet Nam | 35.99 TJ | 1996 | down 64.0% | falling |
| 57 | Finland | 34.6 TJ | 2023 | up 196.2% | volatile |
| 58 | Lithuania | 33.29 TJ | 2023 | up 145.2% | rising |
| 59 | Bosnia and Herzegovina | 28.49 TJ | 2023 | up 6,375.0% | volatile |
| 60 | Hungary | 25.77 TJ | 2023 | up 592.2% | volatile |
| 61 | Republic of Moldova | 22.5 TJ | 2023 | up 214.6% | volatile |
| 62 | Sweden | 22.08 TJ | 2023 | down 87.7% | volatile |
| 63 | China, Macao SAR | 21.22 TJ | 2023 | up 502.8% | volatile |
| 64 | Mozambique | 18.62 TJ | 2023 | up 110.8% | volatile |
| 65 | Slovenia | 16.85 TJ | 2023 | up 354.0% | volatile |
| 66 | Eswatini | 16 TJ | 1994 | — | volatile |
| 67 | Croatia | 12.31 TJ | 2023 | up 134.2% | rising |
| 68 | North Macedonia | 8.35 TJ | 2023 | up 1,134.0% | volatile |
| 69 | Tajikistan | 8.2 TJ | 2023 | — | volatile |
| 70 | Latvia | 6.98 TJ | 2023 | up 9,772.1% | volatile |
| 71 | Kyrgyzstan | 3.1 TJ | 2023 | down 44.8% | volatile |
| 72 | Romania | 1.24 TJ | 2004 | down 86.5% | volatile |
| 73 | New Zealand | 0.8899 TJ | 2018 | down 78.7% | volatile |
| 74 | Philippines | 0.4292 TJ | 2014 | up 1,594.9% | volatile |
| 75 | Sri Lanka | 0.1635 TJ | 2011 | down 71.4% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 210,544 TJ
- Non-Annex I countries 199,145 TJ
- Asia 168,033 TJ
- Eastern Asia 76,349 TJ
- Southern Asia 62,469 TJ
- Low Income Food Deficit Countries (LIFDCs) 40,934 TJ
- Americas 30,125 TJ
- Latin America and the Caribbean 27,667 TJ
- South America 27,491 TJ
- Land Locked Developing Countries (LLDCs) 24,969 TJ
- Central Asia 19,311 TJ
- Net Food Importing Developing Countries (NFIDCs) 15,608 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.