Pre- and post-production — 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
Pre- and post-production — Energy Use (Coal) is currently reported for 120 countries. The highest value is 1.48 million TJ in China; the lowest is 0.0319 TJ in Saint Pierre and Miquelon.
The median across all reporting countries is 892.64 TJ, and the mean is 34,230 TJ.
Over the past decade 54 countries rose and 61 fell. The largest increase was in Bosnia and Herzegovina (up 605,820.0%), and the largest decrease in Greece (down 97.6%).
Pre- and post-production — Energy Use: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1.48 million TJ | 2023 | down 34.7% | volatile |
| 2 | China, mainland | 1.46 million TJ | 2023 | down 34.5% | volatile |
| 2 | Türkiye | 107,379 TJ | 2023 | down 8.9% | volatile |
| 3 | OECD | 342,836 TJ | 2023 | down 37.1% | falling |
| 4 | Thailand | 99,279 TJ | 2023 | up 245.6% | volatile |
| 4 | Viet Nam | 20,470 TJ | 2023 | up 71.8% | volatile |
| 5 | Poland | 70,529 TJ | 2023 | down 32.4% | falling |
| 5 | Democratic People's Republic of Korea | 14,990 TJ | 2023 | down 20.4% | falling |
| 6 | Colombia | 66,829 TJ | 2023 | up 130.9% | volatile |
| 7 | South Africa | 63,502 TJ | 2023 | down 30.0% | volatile |
| 8 | Kazakhstan | 45,474 TJ | 2023 | up 4.6% | rising |
| 8 | Lao People's Democratic Republic | 1,211 TJ | 2023 | up 10.6% | rising |
| 9 | Russian Federation | 39,310 TJ | 2023 | down 42.0% | volatile |
| 9 | Republic of Moldova | 614.56 TJ | 2023 | down 45.5% | volatile |
| 10 | Zimbabwe | 28,925 TJ | 2023 | up 454.0% | volatile |
| 10 | Bolivia (Plurinational State of) | 104.42 TJ | 2023 | up 1,027.0% | volatile |
| 11 | Indonesia | 24,496 TJ | 2023 | up 905.1% | volatile |
| 11 | Iran (Islamic Republic of) | 38.37 TJ | 2023 | down 1.5% | falling |
| 12 | Australia and New Zealand | 19,956 TJ | 2023 | down 22.5% | falling |
| 13 | China, Taiwan Province of | 19,349 TJ | 2023 | down 45.3% | falling |
| 14 | Ukraine | 17,111 TJ | 2023 | up 58.2% | volatile |
| 15 | Australia | 15,938 TJ | 2023 | down 26.6% | falling |
| 16 | India | 15,658 TJ | 2023 | down 83.6% | volatile |
| 17 | Germany | 14,068 TJ | 2023 | down 12.1% | volatile |
| 18 | Japan | 12,412 TJ | 2023 | down 46.4% | rising |
| 19 | Brazil | 11,018 TJ | 2023 | up 653.5% | volatile |
| 20 | France | 9,736 TJ | 2023 | down 34.5% | falling |
| 21 | Nigeria | 9,002 TJ | 2023 | up 17.0% | volatile |
| 22 | Mongolia | 6,936 TJ | 2023 | up 29.7% | volatile |
| 23 | Uganda | 6,011 TJ | 2023 | up 82.6% | rising |
| 24 | United Kingdom of Great Britain and Northern Ireland | 4,638 TJ | 2023 | down 30.9% | volatile |
| 25 | Republic of Korea | 4,163 TJ | 2023 | down 36.1% | rising |
| 26 | New Zealand | 4,018 TJ | 2023 | down 0.8% | volatile |
| 27 | Gabon | 3,693 TJ | 2023 | up 8.0% | rising |
| 28 | Uzbekistan | 3,448 TJ | 2023 | up 14,062.5% | volatile |
| 29 | Kyrgyzstan | 3,251 TJ | 2023 | up 2,112.3% | volatile |
| 30 | Côte d'Ivoire | 3,515 TJ | 2023 | up 6.3% | rising |
| 30 | Chile | 3,150 TJ | 2023 | up 2,603.2% | volatile |
| 31 | Eswatini | 3,014 TJ | 2023 | up 68.3% | rising |
| 31 | Caribbean | 2,412 TJ | 2023 | up 123.8% | volatile |
| 32 | Sudan (former) | 2,986 TJ | 2011 | up 33.1% | volatile |
| 33 | Madagascar | 2,974 TJ | 2023 | down 18.8% | falling |
| 33 | Cabo Verde | 7.43 TJ | 2023 | down 24.8% | rising |
| 34 | Philippines | 2,799 TJ | 2023 | down 0.7% | rising |
| 35 | Nepal | 2,765 TJ | 2023 | up 27,413.6% | volatile |
| 36 | Czechia | 2,701 TJ | 2023 | down 27.1% | volatile |
| 37 | Sudan | 2,131 TJ | 2023 | up 132.4% | volatile |
| 38 | Canada | 2,125 TJ | 2023 | down 21.1% | falling |
| 39 | Argentina | 2,018 TJ | 2023 | down 31.8% | falling |
| 40 | Tajikistan | 1,924 TJ | 2023 | up 9.6% | flat |
| 41 | Slovakia | 1,889 TJ | 2023 | down 74.1% | volatile |
| 42 | Denmark | 1,791 TJ | 2023 | down 17.4% | falling |
| 43 | Belgium | 1,457 TJ | 2023 | down 47.2% | falling |
| 44 | Serbia | 1,385 TJ | 2023 | down 74.8% | volatile |
| 45 | Ghana | 1,230 TJ | 2023 | down 7.1% | volatile |
| 46 | Benin | 1,220 TJ | 2023 | up 29.6% | rising |
| 47 | Dominican Republic | 1,214 TJ | 2023 | up 6,463.2% | volatile |
| 48 | Burkina Faso | 1,177 TJ | 2023 | up 17.3% | rising |
| 49 | Mozambique | 1,154 TJ | 2023 | up 365.6% | volatile |
| 50 | Morocco | 1,140 TJ | 2023 | up 127.1% | rising |
| 51 | Haiti | 1,111 TJ | 2023 | up 4.8% | rising |
| 52 | Spain | 1,046 TJ | 2023 | down 16.7% | falling |
| 53 | Finland | 1,033 TJ | 2023 | down 29.2% | volatile |
| 54 | Netherlands (Kingdom of the) | 922.82 TJ | 2023 | down 50.4% | falling |
| 55 | Namibia | 862.46 TJ | 2023 | up 83.2% | rising |
| 56 | Peru | 717.87 TJ | 2023 | up 27.9% | volatile |
| 57 | Cameroon | 685.54 TJ | 2023 | up 163.5% | rising |
| 58 | Bosnia and Herzegovina | 604.62 TJ | 2023 | up 605,820.0% | volatile |
| 59 | Togo | 483.21 TJ | 2023 | up 18.2% | rising |
| 60 | Ethiopia | 454.34 TJ | 2023 | up 31.0% | falling |
| 61 | Bulgaria | 446 TJ | 2023 | down 48.4% | volatile |
| 62 | Norway | 420.2 TJ | 2023 | down 1.2% | falling |
| 63 | Sweden | 386.07 TJ | 2023 | down 32.6% | volatile |
| 64 | El Salvador | 379.73 TJ | 2017 | up 0.1% | rising |
| 65 | Austria | 353.72 TJ | 2023 | down 49.8% | falling |
| 66 | Guatemala | 346.92 TJ | 2023 | up 23.5% | rising |
| 67 | Congo | 339.93 TJ | 2023 | up 37.2% | rising |
| 68 | Georgia | 314.38 TJ | 2023 | down 32.6% | volatile |
| 69 | Lithuania | 277.02 TJ | 2023 | down 80.6% | volatile |
| 70 | Tunisia | 258.27 TJ | 2023 | up 1,388.9% | volatile |
| 71 | Portugal | 255.68 TJ | 2023 | down 21.3% | volatile |
| 72 | Ireland | 244.6 TJ | 2023 | down 90.2% | volatile |
| 73 | Iceland | 236.99 TJ | 2015 | up 35.8% | rising |
| 74 | Italy | 186.2 TJ | 2023 | up 47.1% | falling |
| 75 | Myanmar | 147.31 TJ | 2023 | down 1.2% | rising |
| 76 | Botswana | 128.97 TJ | 2023 | up 210.8% | volatile |
| 77 | Romania | 124.34 TJ | 2023 | down 63.3% | volatile |
| 78 | Albania | 114.83 TJ | 2023 | down 52.1% | volatile |
| 79 | Montenegro | 111.49 TJ | 2023 | up 568.2% | volatile |
| 80 | Armenia | 98.64 TJ | 2023 | up 464.2% | volatile |
| 81 | Jamaica | 86.93 TJ | 2023 | down 79.3% | volatile |
| 82 | Hungary | 83.56 TJ | 2023 | down 39.2% | volatile |
| 83 | Switzerland | 71.25 TJ | 2023 | down 35.3% | volatile |
| 84 | Cyprus | 63.21 TJ | 2023 | up 8.2% | flat |
| 85 | Nicaragua | 59.97 TJ | 2023 | down 9.2% | falling |
| 86 | Latvia | 57.96 TJ | 2023 | down 86.8% | volatile |
| 87 | Comoros | 54.52 TJ | 2023 | up 120.0% | rising |
| 88 | Eritrea | 53.03 TJ | 2023 | up 7.0% | rising |
| 89 | Belarus | 39.03 TJ | 2023 | down 52.2% | volatile |
| 90 | Zambia | 37.05 TJ | 1994 | — | rising |
| 91 | Estonia | 30.96 TJ | 2023 | down 68.8% | volatile |
| 92 | Greece | 30.25 TJ | 2022 | down 97.6% | volatile |
| 93 | Central African Republic | 29.12 TJ | 2023 | up 17.5% | rising |
| 94 | Croatia | 28.3 TJ | 2023 | down 92.8% | volatile |
| 95 | South Sudan | 26.28 TJ | 2023 | down 80.7% | volatile |
| 96 | North Macedonia | 17.63 TJ | 2023 | down 82.0% | volatile |
| 97 | Slovenia | 12.41 TJ | 2023 | down 87.8% | volatile |
| 98 | Panama | 8.54 TJ | 2023 | up 0.2% | falling |
| 99 | Suriname | 8.41 TJ | 2023 | unchanged | rising |
| 100 | Mauritius | 6.32 TJ | 2023 | up 2.0% | rising |
| 101 | Luxembourg | 5.77 TJ | 2023 | down 77.8% | volatile |
| 102 | Azerbaijan | 3.29 TJ | 2023 | down 89.5% | falling |
| 103 | Pakistan | 2.28 TJ | 2003 | down 65.4% | volatile |
| 104 | Sao Tome and Principe | 1.73 TJ | 2023 | up 18.0% | rising |
| 105 | Guyana | 0.675 TJ | 2023 | up 1,468.1% | volatile |
| 106 | Gibraltar | 0.3018 TJ | 2023 | up 1,450.0% | volatile |
| 107 | Anguilla | 0.1681 TJ | 2023 | unchanged | flat |
| 108 | Sri Lanka | 0.1635 TJ | 2011 | down 71.4% | volatile |
| 109 | Costa Rica | 0.1019 TJ | 2018 | — | volatile |
| 110 | Saint Pierre and Miquelon | 0.0319 TJ | 2023 | — | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2.34 million TJ
- Asia 1.85 million TJ
- Non-Annex I countries 1.95 million TJ
- Eastern Asia 1.52 million TJ
- Least Developed Countries (LDCs) 21,210 TJ
- Annex I countries 392,921 TJ
- Europe 172,103 TJ
- Americas 170,529 TJ
- Middle Africa 4,750 TJ
- South-Eastern Asia 148,402 TJ
- Small island developing States (SIDS) 2,491 TJ
- Eastern Europe 132,847 TJ
- Africa 132,289 TJ
- Low Income Food Deficit Countries (LIFDCs) 114,350 TJ
- Western Asia 107,859 TJ
- European Union (27) 107,729 TJ
- Land Locked Developing Countries (LLDCs) 105,822 TJ
- Northern America 83,856 TJ
- South America 83,846 TJ
- United States of America 81,731 TJ
- Latin America and the Caribbean 80,155 TJ
- Southern Africa 67,508 TJ
- Sub-Saharan Africa 59,125 TJ
- Central Asia 54,098 TJ
- Net Food Importing Developing Countries (NFIDCs) 42,784 TJ
- Eastern Africa 39,856 TJ
- Western Europe 26,614 TJ
- Oceania 19,956 TJ
- Southern Asia 18,461 TJ
- Western Africa 16,646 TJ
- Northern Europe 8,879 TJ
- Southern Europe 3,763 TJ
- Northern Africa 3,529 TJ
- Central America 415.43 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.