Fats, Animals, Raw — Food by country

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...

Countries reporting
166
Highest
1,977 1000 t
China
Lowest
0 1000 t
Lesotho
Median
13 1000 t
Years covered
14
2010–2023
Data points
3,042

What the numbers show

Fats, Animals, Raw — Food is currently reported for 166 countries. The highest value is 1,977 1000 t in China; the lowest is 0 1000 t in Lesotho.

The median across all reporting countries is 13 1000 t, and the mean is 82.96 1000 t.

Over the past decade 82 countries rose and 47 fell. The largest increase was in Azerbaijan (up 1,600.0%), and the largest decrease in Fiji (down 100.0%).

Fats, Animals, Raw — Food: full country ranking

#Country LatestYear 10-year changeTrend
1 China 1,977 1000 t 2023 down 23.8% falling
2 China, mainland 1,881 1000 t 2023 down 25.2% falling
3 United States 1,264 1000 t 2023 up 46.1% rising
4 Brazil 991 1000 t 2023 up 47.7% rising
5 Russia 493 1000 t 2023 up 8.1% rising
5 Russian Federation 493 1000 t 2023 up 8.1% rising
7 Germany 465 1000 t 2023 down 19.6% falling
8 France 345 1000 t 2023 up 54.7% rising
9 Philippines 295 1000 t 2023 up 5.4% rising
10 Poland 273 1000 t 2023 up 28.8% rising
11 Mexico 257 1000 t 2023 down 15.5% falling
12 Vietnam 243 1000 t 2023 up 18.5% flat
12 Viet Nam 243 1000 t 2023 up 18.5% flat
14 Canada 240 1000 t 2023 up 28.3% rising
15 Pakistan 234 1000 t 2023 up 36.0% rising
16 Italy 230 1000 t 2023 down 29.2% falling
17 Argentina 229 1000 t 2023 up 126.7% rising
18 United Kingdom 141 1000 t 2023 up 35.6% rising
18 United Kingdom of Great Britain and Northern Ireland 141 1000 t 2023 up 35.6% rising
20 Netherlands (Kingdom of the) 131 1000 t 2023 up 104.7% rising
21 Hungary 119 1000 t 2023 unchanged flat
22 Czechia 118 1000 t 2023 up 126.9% rising
23 Austria 115 1000 t 2023 up 3.6% rising
24 Republic of Korea 102 1000 t 2023 down 3.8% rising
25 Romania 101 1000 t 2023 down 6.5% falling
26 Nigeria 99 1000 t 2023 up 90.4% rising
27 Belgium 92 1000 t 2023 down 20.0% rising
28 Spain 83 1000 t 2023 up 27.7% rising
28 Slovakia 83 1000 t 2023 up 16.9% rising
30 India 82 1000 t 2023 up 78.3% rising
31 Thailand 79 1000 t 2023 up 192.6% rising
32 Malaysia 78 1000 t 2023 up 95.0% rising
33 Ecuador 77 1000 t 2023 down 8.3% falling
34 Ukraine 64 1000 t 2023 down 63.2% falling
34 China, Taiwan Province of 64 1000 t 2023 up 42.2% rising
36 Iraq 60 1000 t 2023 up 900.0% volatile
36 Uzbekistan 60 1000 t 2023 up 22.4% rising
38 Portugal 58 1000 t 2023 down 21.6% falling
38 Australia and New Zealand 58 1000 t 2023 down 23.7% falling
40 Colombia 57 1000 t 2023 up 7.5% falling
41 Guatemala 49 1000 t 2023 up 345.5% volatile
42 Syria 46 1000 t 2023 down 9.8% falling
42 Syrian Arab Republic 46 1000 t 2023 down 9.8% falling
44 Chile 42 1000 t 2023 down 42.5% flat
44 Bolivia (Plurinational State of) 42 1000 t 2023 up 55.6% rising
46 Croatia 39 1000 t 2023 up 18.2% rising
47 Switzerland 36 1000 t 2023 up 12.5% flat
47 Ireland 36 1000 t 2023 up 89.5% rising
47 Caribbean 36 1000 t 2023 down 16.3% flat
50 Australia 35 1000 t 2023 down 38.6% falling
50 Ethiopia 35 1000 t 2023 up 59.1% rising
52 Azerbaijan 34 1000 t 2023 up 1,600.0% volatile
53 Bulgaria 30 1000 t 2023 unchanged rising
53 China, Hong Kong SAR 30 1000 t 2023 down 6.2% flat
55 Venezuela (Bolivarian Republic of) 29 1000 t 2023 down 32.6% falling
56 Paraguay 28 1000 t 2023 down 6.7% flat
56 Zimbabwe 28 1000 t 2023 up 100.0% volatile
58 Belarus 27 1000 t 2023 down 3.6% rising
58 Cuba 27 1000 t 2019 up 68.8% rising
58 Indonesia 27 1000 t 2023 down 32.5% flat
58 Myanmar 27 1000 t 2023 down 58.5% falling
62 Burkina Faso 25 1000 t 2023 up 177.8% volatile
62 Denmark 25 1000 t 2023 down 40.5% falling
62 Malawi 25 1000 t 2023 up 257.1% rising
65 Bangladesh 24 1000 t 2023 up 26.3% rising
66 New Zealand 23 1000 t 2023 up 21.1% falling
67 Angola 22 1000 t 2023 up 46.7% flat
68 Costa Rica 20 1000 t 2023 up 17.6% rising
68 Jordan 20 1000 t 2023 up 81.8% rising
70 Egypt 19 1000 t 2023 down 32.1% falling
70 United Republic of Tanzania 19 1000 t 2023 up 58.3% rising
72 Peru 18 1000 t 2023 up 50.0% rising
73 Uganda 17 1000 t 2023 up 13.3% rising
74 Panama 16 1000 t 2023 unchanged rising
74 Tajikistan 16 1000 t 2023 up 100.0% rising
76 Dominican Republic 15 1000 t 2023 up 25.0% rising
76 Norway 15 1000 t 2023 down 6.2% falling
78 Afghanistan 14 1000 t 2023 up 16.7% rising
78 Armenia 14 1000 t 2023 up 55.6% rising
78 Greece 14 1000 t 2023 up 250.0% rising
81 Algeria 13 1000 t 2023 up 30.0% rising
81 Georgia 13 1000 t 2023 up 62.5% rising
81 Latvia 13 1000 t 2023 up 18.2% flat
81 Serbia 13 1000 t 2023 up 333.3% rising
81 Turkmenistan 13 1000 t 2023 up 30.0% rising
81 Yemen 13 1000 t 2023 unchanged rising
81 South Africa 13 1000 t 2023 up 8.3% rising
88 Laos 12 1000 t 2023 up 50.0% rising
88 Mongolia 12 1000 t 2023 down 7.7% flat
88 Nepal 12 1000 t 2023 down 29.4% falling
88 El Salvador 12 1000 t 2023 up 9.1% flat
88 Uruguay 12 1000 t 2023 up 50.0% rising
88 Lao People's Democratic Republic 12 1000 t 2023 up 50.0% rising
94 Kenya 11 1000 t 2023 down 15.4% falling
94 Morocco 11 1000 t 2023 down 38.9% flat
94 Saudi Arabia 11 1000 t 2023 unchanged flat
97 United Arab Emirates 10 1000 t 2023 unchanged rising
97 Cameroon 10 1000 t 2023 up 42.9% rising
97 Finland 10 1000 t 2023 up 100.0% rising
97 Kazakhstan 10 1000 t 2023 down 9.1% falling
97 Cambodia 10 1000 t 2023 down 9.1% falling
97 Lithuania 10 1000 t 2023 up 42.9% rising
97 Slovenia 10 1000 t 2023 up 11.1% rising
97 Tunisia 10 1000 t 2023 up 42.9% rising
97 Zambia 10 1000 t 2023 up 25.0% rising
97 Democratic People's Republic of Korea 10 1000 t 2018 up 25.0% rising
107 Nicaragua 9 1000 t 2023 up 80.0% rising
108 Honduras 8 1000 t 2023 down 46.7% rising
108 Mozambique 8 1000 t 2023 unchanged rising
110 Senegal 7 1000 t 2023 unchanged rising
110 Turkey 7 1000 t 2023 down 22.2% volatile
110 Melanesia 7 1000 t 2023 up 16.7% flat
110 Türkiye 7 1000 t 2023 down 22.2% volatile
114 Albania 6 1000 t 2023 up 20.0% falling
114 Ghana 6 1000 t 2023 up 50.0% rising
114 Haiti 6 1000 t 2023 up 50.0% rising
114 Jamaica 6 1000 t 2023 up 20.0% rising
118 Israel 5 1000 t 2023 up 66.7% rising
118 Namibia 5 1000 t 2023 up 66.7% flat
118 Papua New Guinea 5 1000 t 2023 unchanged rising
121 Estonia 4 1000 t 2023 up 300.0% volatile
121 Guinea 4 1000 t 2023 up 100.0% rising
121 Niger 4 1000 t 2023 up 33.3% volatile
121 Oman 4 1000 t 2023 unchanged rising
121 Sweden 4 1000 t 2023 down 81.8% falling
121 Democratic Republic of the Congo 4 1000 t 2023 unchanged flat
127 Kyrgyzstan 3 1000 t 2023 up 200.0% volatile
127 Moldova 3 1000 t 2023 down 66.7% falling
127 Madagascar 3 1000 t 2023 down 57.1% falling
127 Mauritania 3 1000 t 2023 unchanged rising
127 Trinidad and Tobago 3 1000 t 2023 unchanged rising
127 Republic of Moldova 3 1000 t 2023 down 66.7% falling
127 China, Macao SAR 3 1000 t 2023 up 200.0% volatile
134 Bosnia and Herzegovina 2 1000 t 2023 down 33.3% falling
134 Botswana 2 1000 t 2023 up 100.0% falling
134 Cote d'Ivoire 2 1000 t 2023 unchanged flat
134 Lebanon 2 1000 t 2023 down 33.3% falling
134 Sri Lanka 2 1000 t 2023 unchanged rising
134 North Macedonia 2 1000 t 2023 down 66.7% volatile
134 Rwanda 2 1000 t 2023 unchanged flat
134 Côte d'Ivoire 2 1000 t 2023 unchanged flat
142 Bahrain 1 1000 t 2023 — falling
142 Barbados 1 1000 t 2023 unchanged rising
142 Cyprus 1 1000 t 2023 — volatile
142 Iceland 1 1000 t 2023 — volatile
142 Liberia 1 1000 t 2023 unchanged flat
142 Libya 1 1000 t 2023 down 50.0% falling
142 Saint Lucia 1 1000 t 2023 — volatile
142 Luxembourg 1 1000 t 2023 unchanged rising
142 Malta 1 1000 t 2023 down 50.0% falling
142 Montenegro 1 1000 t 2023 — rising
142 Solomon Islands 1 1000 t 2023 — volatile
142 Sierra Leone 1 1000 t 2023 unchanged volatile
142 Eswatini 1 1000 t 2023 — volatile
142 East Timor 1 1000 t 2023 unchanged flat
142 Samoa 1 1000 t 2023 — volatile
142 Timor-Leste 1 1000 t 2023 unchanged flat
142 Polynesia 1 1000 t 2023 — volatile
142 Iran (Islamic Republic of) 1 1000 t 2023 unchanged volatile
160 Belize 0 1000 t 2023 — volatile
160 Congo 0 1000 t 2023 — volatile
160 Comoros 0 1000 t 2023 — volatile
160 Djibouti 0 1000 t 2023 — volatile
160 Fiji 0 1000 t 2023 down 100.0% volatile
160 Guinea-Bissau 0 1000 t 2023 down 100.0% volatile
160 Lesotho 0 1000 t 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.

Share, cite or embed this page

Cite this page

Fats, Animals, Raw — Food by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/fats-animals-raw-food/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/fats-animals-raw-food/">Fats, Animals, Raw — Food by country</a> — Statizoid

About this data

Indicator
Fats, Animals, Raw — Food
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 3,042 data points, 2010–2023
Last refreshed

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.