Animal fats — Stock Variation 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
160
Highest
157 1000 t
Netherlands (Kingdom of the)
Lowest
-59 1000 t
Germany
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,798

What the numbers show

Animal fats — Stock Variation is currently reported for 160 countries. The highest value is 157 1000 t in Netherlands (Kingdom of the); the lowest is -59 1000 t in Germany.

The median across all reporting countries is 0 1000 t, and the mean is 1.08 1000 t.

The gap between the highest and lowest reporting country is a factor of about 3.

Over the past decade 22 countries rose and 24 fell. The largest increase was in France (up 2,825.0%), and the largest decrease in Australia and New Zealand (down 1,450.0%).

Animal fats — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Netherlands (Kingdom of the) 157 1000 t 2023 up 218.0% volatile
2 France 117 1000 t 2023 up 2,825.0% volatile
3 China (People's Republic of) 20 1000 t 2023 up 281.8% volatile
3 China, mainland 20 1000 t 2023 up 266.7% volatile
5 Ireland 16 1000 t 2023 up 223.1% volatile
6 United Kingdom of Great Britain and Northern Ireland 10 1000 t 2023 volatile
7 Ukraine 9 1000 t 2023 up 125.0% volatile
8 Mexico 7 1000 t 2023 down 58.8% volatile
9 Norway 4 1000 t 2023 up 300.0% volatile
9 Republic of Korea 4 1000 t 2023 up 500.0% volatile
11 Denmark 3 1000 t 2023 down 40.0% volatile
11 Uruguay 3 1000 t 2023 volatile
13 Angola 2 1000 t 2023 up 150.0% volatile
13 Ecuador 2 1000 t 2023 volatile
13 Kazakhstan 2 1000 t 2023 up 100.0% volatile
13 Trinidad and Tobago 2 1000 t 2023 volatile
13 Russian Federation 2 1000 t 2023 volatile
18 Albania 1 1000 t 2023 volatile
18 Chile 1 1000 t 2023 volatile
18 Czechia 1 1000 t 2023 volatile
18 Croatia 1 1000 t 2023 volatile
18 Hungary 1 1000 t 2023 flat
18 Namibia 1 1000 t 2023 up 200.0% volatile
18 Philippines 1 1000 t 2023 volatile
18 Zambia 1 1000 t 2023 volatile
26 Afghanistan 0 1000 t 2023 up 100.0% volatile
26 Argentina 0 1000 t 2023 up 100.0% volatile
26 Armenia 0 1000 t 2023 flat
26 Antigua and Barbuda 0 1000 t 2023 flat
26 Austria 0 1000 t 2023 down 100.0% volatile
26 Azerbaijan 0 1000 t 2023 up 100.0% volatile
26 Belgium 0 1000 t 2023 down 100.0% volatile
26 Burkina Faso 0 1000 t 2023 volatile
26 Bangladesh 0 1000 t 2023 flat
26 Bulgaria 0 1000 t 2023 flat
26 Bahrain 0 1000 t 2023 flat
26 Bahamas 0 1000 t 2023 flat
26 Bosnia and Herzegovina 0 1000 t 2023 flat
26 Belize 0 1000 t 2023 flat
26 Brazil 0 1000 t 2023 flat
26 Barbados 0 1000 t 2023 flat
26 Bhutan 0 1000 t 2023 flat
26 Botswana 0 1000 t 2023 volatile
26 Switzerland 0 1000 t 2023 volatile
26 Cameroon 0 1000 t 2023 volatile
26 Congo 0 1000 t 2023 flat
26 Colombia 0 1000 t 2023 volatile
26 Comoros 0 1000 t 2023 flat
26 Costa Rica 0 1000 t 2023 flat
26 Cuba 0 1000 t 2019 flat
26 Cyprus 0 1000 t 2023 flat
26 Djibouti 0 1000 t 2020 flat
26 Dominican Republic 0 1000 t 2023 flat
26 Algeria 0 1000 t 2023 flat
26 Egypt 0 1000 t 2023 up 100.0% volatile
26 Spain 0 1000 t 2023 up 100.0% volatile
26 Estonia 0 1000 t 2023 volatile
26 Ethiopia 0 1000 t 2023 down 100.0% volatile
26 Finland 0 1000 t 2023 up 100.0% volatile
26 Fiji 0 1000 t 2023 flat
26 Gabon 0 1000 t 2023 flat
26 Georgia 0 1000 t 2023 volatile
26 Ghana 0 1000 t 2023 flat
26 Guinea 0 1000 t 2023 volatile
26 Gambia 0 1000 t 2023 flat
26 Greece 0 1000 t 2023 volatile
26 Grenada 0 1000 t 2023 flat
26 Guatemala 0 1000 t 2023 volatile
26 Guyana 0 1000 t 2023 flat
26 Honduras 0 1000 t 2023 flat
26 Haiti 0 1000 t 2023 volatile
26 India 0 1000 t 2023 down 100.0% volatile
26 Iraq 0 1000 t 2023 volatile
26 Iceland 0 1000 t 2023 flat
26 Israel 0 1000 t 2023 flat
26 Italy 0 1000 t 2023 up 100.0% volatile
26 Jamaica 0 1000 t 2023 flat
26 Jordan 0 1000 t 2023 down 100.0% volatile
26 Kenya 0 1000 t 2023 down 100.0% volatile
26 Kyrgyzstan 0 1000 t 2023 volatile
26 Cambodia 0 1000 t 2023 flat
26 Kiribati 0 1000 t 2023 flat
26 Saint Kitts and Nevis 0 1000 t 2023 flat
26 Kuwait 0 1000 t 2023 flat
26 Lebanon 0 1000 t 2023 flat
26 Liberia 0 1000 t 2023 flat
26 Libya 0 1000 t 2023 flat
26 Saint Lucia 0 1000 t 2023 flat
26 Sri Lanka 0 1000 t 2023 volatile
26 Lithuania 0 1000 t 2023 volatile
26 Luxembourg 0 1000 t 2023 flat
26 Latvia 0 1000 t 2023 volatile
26 Madagascar 0 1000 t 2023 flat
26 Maldives 0 1000 t 2023 flat
26 Marshall Islands 0 1000 t 2023 flat
26 North Macedonia 0 1000 t 2023 flat
26 Malta 0 1000 t 2023 flat
26 Myanmar 0 1000 t 2023 down 100.0% volatile
26 Montenegro 0 1000 t 2023 flat
26 Mozambique 0 1000 t 2023 flat
26 Mauritania 0 1000 t 2023 flat
26 Mauritius 0 1000 t 2023 flat
26 Malawi 0 1000 t 2023 flat
26 New Caledonia 0 1000 t 2023 flat
26 Niger 0 1000 t 2023 flat
26 Nigeria 0 1000 t 2023 flat
26 Nicaragua 0 1000 t 2023 volatile
26 Nepal 0 1000 t 2023 volatile
26 Nauru 0 1000 t 2023 flat
26 Oman 0 1000 t 2023 flat
26 Pakistan 0 1000 t 2023 down 100.0% volatile
26 Panama 0 1000 t 2023 volatile
26 Papua New Guinea 0 1000 t 2023 flat
26 Poland 0 1000 t 2023 down 100.0% volatile
26 Portugal 0 1000 t 2023 up 100.0% volatile
26 Paraguay 0 1000 t 2023 volatile
26 French Polynesia 0 1000 t 2023 flat
26 Qatar 0 1000 t 2023 flat
26 Romania 0 1000 t 2023 down 100.0% volatile
26 Rwanda 0 1000 t 2023 flat
26 Saudi Arabia 0 1000 t 2023 flat
26 Senegal 0 1000 t 2023 down 100.0% volatile
26 Solomon Islands 0 1000 t 2023 flat
26 Sierra Leone 0 1000 t 2023 flat
26 El Salvador 0 1000 t 2023 volatile
26 Serbia 0 1000 t 2023 flat
26 Sao Tome and Principe 0 1000 t 2023 flat
26 Suriname 0 1000 t 2023 flat
26 Slovenia 0 1000 t 2023 volatile
26 Eswatini 0 1000 t 2023 flat
26 Seychelles 0 1000 t 2023 flat
26 Thailand 0 1000 t 2023 up 100.0% volatile
26 Turkmenistan 0 1000 t 2023 volatile
26 Tonga 0 1000 t 2023 flat
26 Tunisia 0 1000 t 2023 volatile
26 Tuvalu 0 1000 t 2023 flat
26 Uganda 0 1000 t 2023 flat
26 Uzbekistan 0 1000 t 2023 down 100.0% volatile
26 Vanuatu 0 1000 t 2023 flat
26 Samoa 0 1000 t 2023 flat
26 Yemen 0 1000 t 2023 volatile
26 South Africa 0 1000 t 2023 down 100.0% volatile
26 Zimbabwe 0 1000 t 2023 down 100.0% volatile
26 China, Hong Kong SAR 0 1000 t 2023 down 100.0% volatile
26 China, Taiwan Province of 0 1000 t 2023 flat
26 China, Macao SAR 0 1000 t 2023 flat
147 United Arab Emirates -1 1000 t 2023 up 66.7% volatile
147 Morocco -1 1000 t 2023 up 80.0% volatile
147 Mongolia -1 1000 t 2023 volatile
147 Sweden -1 1000 t 2023 volatile
151 Belarus -3 1000 t 2023 down 400.0% volatile
152 Canada -4 1000 t 2023 down 100.0% volatile
152 Indonesia -4 1000 t 2023 volatile
154 Slovak Republic -6 1000 t 2023 down 200.0% volatile
155 New Zealand -9 1000 t 2023 down 80.0% volatile
156 Australia -22 1000 t 2023 down 833.3% volatile
157 Peru -28 1000 t 2023 down 153.8% volatile
158 Australia and New Zealand -31 1000 t 2023 down 1,450.0% volatile
159 Malaysia -45 1000 t 2023 volatile
160 Germany -59 1000 t 2023 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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Animal fats — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/animal-fats-stock-variation/

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About this data

Indicator
Animal fats — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,798 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.