Fish, Body Oil — Production 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 — Production is currently reported for 57 countries. The highest value is 232 1000 t in Chile; the lowest is 0 1000 t in Israel.
The median across all reporting countries is 6 1000 t, and the mean is 26.51 1000 t.
Over the past decade 23 countries rose and 17 fell. The largest increase was in Russia (up 800.0%), and the largest decrease in Bulgaria (down 100.0%).
Fish, Body Oil — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Chile | 232 1000 t | 2023 | up 129.7% | rising |
| 2 | Viet Nam | 208 1000 t | 2023 | up 60.0% | rising |
| 2 | Vietnam | 208 1000 t | 2023 | up 60.0% | rising |
| 4 | Peru | 197 1000 t | 2023 | up 12.6% | falling |
| 5 | United States | 85 1000 t | 2023 | up 7.6% | rising |
| 6 | Norway | 72 1000 t | 2023 | up 67.4% | rising |
| 7 | Denmark | 67 1000 t | 2023 | down 22.1% | falling |
| 8 | Iceland | 45 1000 t | 2023 | down 34.8% | falling |
| 9 | Spain | 32 1000 t | 2023 | up 100.0% | rising |
| 10 | Morocco | 31 1000 t | 2023 | up 47.6% | rising |
| 11 | Mauritania | 29 1000 t | 2023 | up 61.1% | volatile |
| 12 | China | 26 1000 t | 2023 | down 66.2% | falling |
| 12 | Panama | 26 1000 t | 2023 | up 420.0% | volatile |
| 12 | China, mainland | 26 1000 t | 2023 | down 66.2% | falling |
| 15 | Mexico | 25 1000 t | 2023 | up 31.6% | rising |
| 16 | India | 18 1000 t | 2023 | down 18.2% | falling |
| 17 | Ecuador | 17 1000 t | 2023 | down 5.6% | rising |
| 17 | Germany | 17 1000 t | 2023 | up 142.9% | rising |
| 19 | United Kingdom | 12 1000 t | 2023 | down 20.0% | falling |
| 19 | United Kingdom of Great Britain and Northern Ireland | 12 1000 t | 2023 | down 20.0% | falling |
| 21 | Russia | 9 1000 t | 2023 | up 800.0% | volatile |
| 21 | Russian Federation | 9 1000 t | 2023 | up 800.0% | volatile |
| 21 | Thailand | 9 1000 t | 2023 | down 60.9% | falling |
| 21 | Sweden | 9 1000 t | 2023 | down 18.2% | falling |
| 21 | Brazil | 9 1000 t | 2023 | up 125.0% | rising |
| 26 | Oman | 8 1000 t | 2023 | — | volatile |
| 26 | Poland | 8 1000 t | 2023 | up 700.0% | volatile |
| 28 | Canada | 6 1000 t | 2023 | up 20.0% | rising |
| 28 | South Africa | 6 1000 t | 2023 | up 500.0% | rising |
| 28 | France | 6 1000 t | 2023 | unchanged | flat |
| 28 | Latvia | 6 1000 t | 2023 | up 100.0% | rising |
| 32 | Georgia | 5 1000 t | 2023 | up 66.7% | volatile |
| 32 | Republic of Korea | 5 1000 t | 2023 | up 25.0% | rising |
| 34 | Indonesia | 4 1000 t | 2023 | down 20.0% | falling |
| 35 | Yemen | 3 1000 t | 2023 | up 200.0% | volatile |
| 35 | Ireland | 3 1000 t | 2023 | down 62.5% | falling |
| 35 | Australia and New Zealand | 3 1000 t | 2023 | unchanged | flat |
| 38 | Estonia | 2 1000 t | 2023 | — | volatile |
| 38 | Angola | 2 1000 t | 2023 | unchanged | volatile |
| 38 | Mauritius | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Philippines | 2 1000 t | 2023 | — | volatile |
| 38 | New Zealand | 2 1000 t | 2023 | down 33.3% | falling |
| 43 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 43 | Seychelles | 1 1000 t | 2023 | unchanged | rising |
| 43 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 43 | Senegal | 1 1000 t | 2023 | — | volatile |
| 43 | Portugal | 1 1000 t | 2023 | down 66.7% | volatile |
| 43 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 43 | Congo | 1 1000 t | 2023 | — | volatile |
| 43 | Namibia | 1 1000 t | 2023 | unchanged | falling |
| 51 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 51 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 51 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 51 | Belgium | 0 1000 t | 2023 | — | volatile |
| 51 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 51 | Gambia | 0 1000 t | 2023 | — | volatile |
| 51 | Israel | 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.
- World 1,330 1000 t
- Americas 597 1000 t
- South America 455 1000 t
- Asia 364 1000 t
- Europe 291 1000 t
- Net Food Importing Developing Countries (NFIDCs) 268 1000 t
- South-Eastern Asia 223 1000 t
- Northern Europe 216 1000 t
- European Union (27) 154 1000 t
- Eastern Asia 105 1000 t
- Northern America 91 1000 t
- United States of America 85 1000 t
- Africa 75 1000 t
- Central America 51 1000 t
- Least Developed Countries (LDCs) 37 1000 t
- Low Income Food Deficit Countries (LIFDCs) 35 1000 t
- Southern Europe 33 1000 t
- Western Africa 32 1000 t
- Northern Africa 31 1000 t
- Western Europe 24 1000 t
- Southern Asia 19 1000 t
- Western Asia 18 1000 t
- Eastern Europe 18 1000 t
- Southern Africa 7 1000 t
- Small island developing States (SIDS) 4 1000 t
- Middle Africa 3 1000 t
- Oceania 3 1000 t
- Eastern Africa 3 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.