Animal fats — Feed 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...
What the numbers show
Animal fats — Feed is currently reported for 123 countries. The highest value is 274 1000 t in France; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 9.53 1000 t.
Over the past decade 21 countries rose and 17 fell. The largest increase was in France (up 27,300.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Animal fats — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | France | 274 1000 t | 2023 | up 27,300.0% | volatile |
| 2 | Chile | 215 1000 t | 2023 | up 186.7% | rising |
| 3 | Spain | 192 1000 t | 2023 | up 21.5% | rising |
| 4 | Türkiye | 62 1000 t | 2023 | up 100.0% | rising |
| 5 | Canada | 53 1000 t | 2023 | up 55.9% | rising |
| 6 | Greece | 42 1000 t | 2023 | up 50.0% | rising |
| 7 | China | 33 1000 t | 2023 | down 52.9% | falling |
| 8 | China, Taiwan Province of | 32 1000 t | 2023 | down 53.6% | falling |
| 9 | Australia and New Zealand | 30 1000 t | 2023 | up 233.3% | rising |
| 10 | Australia | 29 1000 t | 2023 | up 314.3% | rising |
| 11 | Belgium | 24 1000 t | 2023 | down 36.8% | falling |
| 12 | Iceland | 21 1000 t | 2023 | down 19.2% | rising |
| 13 | India | 19 1000 t | 2023 | up 375.0% | volatile |
| 14 | Ecuador | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 15 | Italy | 15 1000 t | 2023 | up 36.4% | rising |
| 16 | Brazil | 14 1000 t | 2023 | up 75.0% | rising |
| 17 | Republic of Korea | 12 1000 t | 2023 | up 9.1% | falling |
| 18 | Indonesia | 11 1000 t | 2023 | up 10.0% | flat |
| 19 | Malaysia | 9 1000 t | 2023 | up 125.0% | rising |
| 19 | Norway | 9 1000 t | 2023 | up 50.0% | rising |
| 19 | United Kingdom of Great Britain and Northern Ireland | 9 1000 t | 2023 | up 28.6% | falling |
| 22 | Germany | 8 1000 t | 2023 | down 52.9% | volatile |
| 23 | Poland | 7 1000 t | 2023 | up 133.3% | volatile |
| 23 | Russian Federation | 7 1000 t | 2023 | up 250.0% | volatile |
| 25 | Panama | 5 1000 t | 2023 | — | volatile |
| 26 | Switzerland | 3 1000 t | 2023 | up 200.0% | volatile |
| 27 | Angola | 2 1000 t | 2023 | unchanged | falling |
| 27 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 27 | China, mainland | 2 1000 t | 2023 | up 100.0% | rising |
| 30 | Argentina | 1 1000 t | 2023 | — | volatile |
| 30 | Egypt | 1 1000 t | 2023 | — | volatile |
| 30 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 30 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 30 | Israel | 1 1000 t | 2023 | — | volatile |
| 30 | Jamaica | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Morocco | 1 1000 t | 2023 | down 80.0% | volatile |
| 30 | Nepal | 1 1000 t | 2023 | — | volatile |
| 30 | New Zealand | 1 1000 t | 2023 | down 50.0% | volatile |
| 30 | Oman | 1 1000 t | 2023 | — | volatile |
| 30 | Romania | 1 1000 t | 2023 | unchanged | rising |
| 30 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 30 | Caribbean | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | flat |
| 44 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 44 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 44 | Bahrain | 0 1000 t | 2023 | — | flat |
| 44 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 44 | Belarus | 0 1000 t | 2018 | — | flat |
| 44 | Bhutan | 0 1000 t | 2023 | — | flat |
| 44 | Botswana | 0 1000 t | 2023 | — | flat |
| 44 | Cameroon | 0 1000 t | 2023 | — | flat |
| 44 | Colombia | 0 1000 t | 2023 | — | flat |
| 44 | Comoros | 0 1000 t | 2023 | — | flat |
| 44 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 44 | Djibouti | 0 1000 t | 2023 | — | flat |
| 44 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 44 | Estonia | 0 1000 t | 2023 | — | flat |
| 44 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Fiji | 0 1000 t | 2023 | — | flat |
| 44 | Gabon | 0 1000 t | 2023 | — | flat |
| 44 | Grenada | 0 1000 t | 2023 | — | flat |
| 44 | Croatia | 0 1000 t | 2023 | — | flat |
| 44 | Hungary | 0 1000 t | 2023 | — | flat |
| 44 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Iraq | 0 1000 t | 2023 | — | flat |
| 44 | Jordan | 0 1000 t | 2023 | — | flat |
| 44 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 44 | Kenya | 0 1000 t | 2023 | — | flat |
| 44 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 44 | Cambodia | 0 1000 t | 2022 | — | flat |
| 44 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 44 | Kuwait | 0 1000 t | 2023 | — | flat |
| 44 | Lebanon | 0 1000 t | 2023 | — | flat |
| 44 | Libya | 0 1000 t | 2021 | — | flat |
| 44 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 44 | Lesotho | 0 1000 t | 2023 | — | flat |
| 44 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 44 | Madagascar | 0 1000 t | 2023 | — | flat |
| 44 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 44 | Malta | 0 1000 t | 2023 | — | flat |
| 44 | Mozambique | 0 1000 t | 2023 | — | flat |
| 44 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 44 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 44 | Niger | 0 1000 t | 2023 | — | flat |
| 44 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Pakistan | 0 1000 t | 2023 | — | flat |
| 44 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Philippines | 0 1000 t | 2023 | — | flat |
| 44 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 44 | Portugal | 0 1000 t | 2023 | — | flat |
| 44 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 44 | Rwanda | 0 1000 t | 2021 | — | flat |
| 44 | Senegal | 0 1000 t | 2023 | — | volatile |
| 44 | Solomon Islands | 0 1000 t | 2022 | — | flat |
| 44 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 44 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 44 | Slovenia | 0 1000 t | 2023 | — | flat |
| 44 | Seychelles | 0 1000 t | 2023 | — | flat |
| 44 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 44 | Turkmenistan | 0 1000 t | 2021 | — | flat |
| 44 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 44 | Tunisia | 0 1000 t | 2023 | — | flat |
| 44 | Uruguay | 0 1000 t | 2023 | — | flat |
| 44 | Samoa | 0 1000 t | 2023 | — | flat |
| 44 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 44 | Melanesia | 0 1000 t | 2023 | — | flat |
| 44 | Polynesia | 0 1000 t | 2023 | — | flat |
| 44 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 44 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 44 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 44 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 44 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 44 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 44 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 44 | Lao People's Democratic Republic | 0 1000 t | 2022 | — | flat |
| 44 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 44 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 44 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,070 1000 t
- Americas 2,266 1000 t
- Northern America 2,011 1000 t
- United States of America 1,958 1000 t
- Europe 614 1000 t
- European Union (27) 565 1000 t
- Western Europe 310 1000 t
- Southern Europe 249 1000 t
- South America 246 1000 t
- Asia 152 1000 t
- Western Asia 66 1000 t
- Eastern Asia 45 1000 t
About this data
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.