Fish, Body Oil — 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
Fish, Body Oil — Feed is currently reported for 89 countries. The highest value is 215 1000 t in Chile; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 6.69 1000 t.
Over the past decade 18 countries rose and 9 fell. The largest increase was in Ecuador (up 1,600.0%), and the largest decrease in Denmark (down 100.0%).
Fish, Body Oil — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Chile | 215 1000 t | 2023 | up 186.7% | rising |
| 2 | Türkiye | 62 1000 t | 2023 | up 100.0% | rising |
| 3 | Canada | 53 1000 t | 2023 | up 55.9% | rising |
| 4 | Greece | 42 1000 t | 2023 | up 50.0% | rising |
| 5 | Iceland | 21 1000 t | 2023 | down 19.2% | rising |
| 6 | India | 19 1000 t | 2023 | up 533.3% | volatile |
| 7 | Ecuador | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 7 | Australia and New Zealand | 17 1000 t | 2023 | up 142.9% | rising |
| 9 | Australia | 16 1000 t | 2023 | up 166.7% | rising |
| 10 | Italy | 15 1000 t | 2023 | up 36.4% | rising |
| 11 | Brazil | 12 1000 t | 2023 | up 100.0% | rising |
| 11 | Republic of Korea | 12 1000 t | 2023 | up 33.3% | falling |
| 13 | Indonesia | 11 1000 t | 2023 | up 10.0% | flat |
| 14 | Malaysia | 9 1000 t | 2023 | up 125.0% | rising |
| 14 | Norway | 9 1000 t | 2023 | up 50.0% | rising |
| 16 | Germany | 8 1000 t | 2023 | up 100.0% | rising |
| 16 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | up 33.3% | falling |
| 18 | China | 7 1000 t | 2023 | down 81.1% | volatile |
| 18 | Poland | 7 1000 t | 2023 | up 133.3% | volatile |
| 18 | Russian Federation | 7 1000 t | 2023 | up 250.0% | volatile |
| 18 | China, Taiwan Province of | 7 1000 t | 2023 | down 81.1% | volatile |
| 22 | Panama | 5 1000 t | 2023 | — | volatile |
| 23 | Angola | 2 1000 t | 2023 | unchanged | falling |
| 23 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 25 | Argentina | 1 1000 t | 2023 | — | volatile |
| 25 | Switzerland | 1 1000 t | 2023 | unchanged | falling |
| 25 | Egypt | 1 1000 t | 2023 | — | volatile |
| 25 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 25 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 25 | Israel | 1 1000 t | 2023 | — | volatile |
| 25 | Morocco | 1 1000 t | 2023 | down 80.0% | volatile |
| 25 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 25 | Oman | 1 1000 t | 2023 | — | volatile |
| 25 | Romania | 1 1000 t | 2023 | unchanged | flat |
| 25 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 25 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 37 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 37 | Bahrain | 0 1000 t | 2023 | — | flat |
| 37 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 37 | Botswana | 0 1000 t | 2023 | — | flat |
| 37 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 37 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 37 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 37 | Estonia | 0 1000 t | 2023 | — | flat |
| 37 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 37 | Fiji | 0 1000 t | 2023 | — | flat |
| 37 | Grenada | 0 1000 t | 2023 | — | flat |
| 37 | Croatia | 0 1000 t | 2023 | — | flat |
| 37 | Hungary | 0 1000 t | 2023 | — | flat |
| 37 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 37 | Iraq | 0 1000 t | 2023 | — | flat |
| 37 | Jamaica | 0 1000 t | 2023 | — | flat |
| 37 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 37 | Kenya | 0 1000 t | 2023 | — | flat |
| 37 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 37 | Kuwait | 0 1000 t | 2023 | — | flat |
| 37 | Lebanon | 0 1000 t | 2023 | — | flat |
| 37 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 37 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 37 | Madagascar | 0 1000 t | 2023 | — | flat |
| 37 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 37 | Malta | 0 1000 t | 2023 | — | flat |
| 37 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 37 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 37 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 37 | Pakistan | 0 1000 t | 2023 | — | flat |
| 37 | Philippines | 0 1000 t | 2023 | — | flat |
| 37 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 37 | Portugal | 0 1000 t | 2023 | — | flat |
| 37 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 37 | Senegal | 0 1000 t | 2023 | — | volatile |
| 37 | El Salvador | 0 1000 t | 2023 | — | flat |
| 37 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 37 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 37 | Tunisia | 0 1000 t | 2023 | — | flat |
| 37 | Uruguay | 0 1000 t | 2023 | — | flat |
| 37 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 37 | Melanesia | 0 1000 t | 2023 | — | flat |
| 37 | Polynesia | 0 1000 t | 2023 | — | flat |
| 37 | Caribbean | 0 1000 t | 2023 | — | flat |
| 37 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 37 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 37 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 37 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 37 | Viet Nam | 0 1000 t | 2020 | — | flat |
| 37 | China, mainland | 0 1000 t | 2023 | — | flat |
| 37 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 37 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 37 | 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 575 1000 t
- Americas 306 1000 t
- South America 245 1000 t
- Asia 125 1000 t
- Europe 120 1000 t
- European Union (27) 73 1000 t
- Western Asia 66 1000 t
- Southern Europe 56 1000 t
- Northern America 53 1000 t
- Northern Europe 38 1000 t
- South-eastern Asia 20 1000 t
- Eastern Asia 19 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.