Food Transport — Energy Use (Natural Gas, including LNG) 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...

Countries reporting
65
Highest
69,292 TJ
China
Lowest
0.4292 TJ
Philippines
Median
110.74 TJ
Years covered
34
1990–2023
Data points
2,449

What the numbers show

Food Transport — Energy Use (Natural Gas, including LNG) is currently reported for 65 countries. The highest value is 69,292 TJ in China; the lowest is 0.4292 TJ in Philippines.

The median across all reporting countries is 110.74 TJ, and the mean is 3,814 TJ.

Over the past decade 38 countries rose and 26 fell. The largest increase was in Latvia (up 9,772.1%), and the largest decrease in Kazakhstan (down 98.2%).

Food Transport — Energy Use: full country ranking

#Country LatestYear 10-year changeTrend
1 China 69,292 TJ 2023 up 133.5% volatile
2 China, mainland 69,271 TJ 2023 up 133.5% volatile
3 Uzbekistan 19,147 TJ 2023 up 7,441.8% volatile
4 India 17,146 TJ 2023 up 123.4% volatile
5 OECD 14,567 TJ 2023 up 9.1% volatile
6 Argentina 9,624 TJ 2023 down 9.4% falling
7 Brazil 8,813 TJ 2023 up 10.5% volatile
8 Thailand 5,314 TJ 2023 down 58.2% volatile
9 Republic of Korea 4,723 TJ 2023 down 21.2% rising
10 Bangladesh 4,530 TJ 2023 down 2.4% volatile
11 Peru 3,809 TJ 2023 up 15.5% rising
12 Egypt 3,653 TJ 2023 up 90.8% rising
13 Pakistan 2,649 TJ 2023 down 73.4% volatile
14 Italy 2,392 TJ 2023 down 13.2% rising
15 Armenia 2,130 TJ 2023 up 10.8% rising
16 Colombia 1,827 TJ 2023 down 41.8% flat
17 Russian Federation 1,192 TJ 2023 up 478.1% volatile
18 France 1,082 TJ 2023 up 259.4% volatile
19 Myanmar 848.54 TJ 2023 down 3.1% volatile
20 Spain 835.7 TJ 2023 up 255.7% volatile
21 Georgia 835.3 TJ 2023 up 88.1% volatile
22 Germany 524.93 TJ 2023 down 12.2% rising
23 Norway 327.79 TJ 2023 down 9.4% volatile
24 Czechia 257.43 TJ 2023 up 458.0% volatile
25 United Kingdom of Great Britain and Northern Ireland 257.03 TJ 2023 up 765.1% rising
26 Canada 255.64 TJ 2023 up 56.4% falling
27 Bulgaria 218.22 TJ 2023 down 9.3% rising
28 Belgium 215.06 TJ 2023 up 7,265.0% volatile
29 Netherlands (Kingdom of the) 209.71 TJ 2023 up 135.9% volatile
30 Malaysia 183.46 TJ 2023 down 86.2% volatile
31 Indonesia 164.25 TJ 2023 up 27.0% volatile
32 Serbia 112.6 TJ 2023 up 491.7% volatile
33 Portugal 110.74 TJ 2023 up 163.4% volatile
34 Dominican Republic 99.81 TJ 2023 down 4.5% rising
35 Australia 98.28 TJ 2023 down 70.6% volatile
35 Australia and New Zealand 98.28 TJ 2023 down 70.9% rising
37 Poland 94.85 TJ 2023 up 74.9% rising
38 Ukraine 94.66 TJ 2023 down 55.5% falling
39 Japan 90.18 TJ 2023 down 79.2% volatile
40 Greece 85.34 TJ 2023 up 87.3% rising
41 Mexico 76.01 TJ 2023 down 17.2% volatile
42 Azerbaijan 64.88 TJ 2023 up 23.8% rising
43 Switzerland 64.36 TJ 2023 down 24.0% rising
44 Austria 61.64 TJ 2023 up 17.3% volatile
45 Tajikistan 58.3 TJ 2012 unchanged flat
46 Estonia 56.35 TJ 2023 up 1,829.7% volatile
47 Chile 42.36 TJ 2023 down 70.6% volatile
48 Denmark 37.26 TJ 2023 up 507.7% rising
49 Finland 34.6 TJ 2023 up 196.2% volatile
50 Lithuania 33.29 TJ 2023 up 145.2% rising
51 Bosnia and Herzegovina 28.49 TJ 2023 up 6,375.0% volatile
52 Hungary 25.77 TJ 2023 up 592.2% volatile
53 Kazakhstan 25.33 TJ 2023 down 98.2% volatile
54 Sweden 22.08 TJ 2023 down 87.7% volatile
55 Belarus 21.58 TJ 2023 down 53.2% volatile
56 China, Macao SAR 21.22 TJ 2023 up 502.8% volatile
57 Mozambique 18.62 TJ 2023 up 110.8% volatile
58 Slovenia 16.39 TJ 2023 up 507.0% rising
59 Croatia 12.31 TJ 2023 up 134.2% rising
60 North Macedonia 8.35 TJ 2023 up 1,134.0% volatile
61 Latvia 6.98 TJ 2023 up 9,772.1% volatile
62 Kyrgyzstan 5.61 TJ 2013 down 83.0% volatile
63 New Zealand 0.8899 TJ 2018 down 78.7% volatile
64 South Africa 0.8694 TJ 2023 down 1.2% flat
65 Philippines 0.4292 TJ 2014 up 1,594.9% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Food Transport — Energy Use by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://climate.statizoid.com/stat/food-transport-energy-use-natural-gas-including-lng/

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About this data

Indicator
Food Transport — Energy Use (Natural Gas, including LNG)
Unit
TJ
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
102 places, 2,449 data points, 1990–2023
Last refreshed

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.