Fish, Body Oil — Export quantity 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 — Export quantity is currently reported for 124 countries. The highest value is 225 1000 t in Peru; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 7.62 1000 t.
Over the past decade 24 countries rose and 10 fell. The largest increase was in Panama (up 450.0%), and the largest decrease in Argentina (down 100.0%).
Fish, Body Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Peru | 225 1000 t | 2023 | up 78.6% | falling |
| 2 | Denmark | 146 1000 t | 2023 | up 20.7% | flat |
| 3 | Norway | 116 1000 t | 2023 | up 73.1% | rising |
| 4 | Chile | 93 1000 t | 2023 | up 38.8% | rising |
| 5 | Iceland | 34 1000 t | 2023 | down 39.3% | falling |
| 6 | Morocco | 30 1000 t | 2023 | up 87.5% | rising |
| 7 | Viet Nam | 27 1000 t | 2023 | down 47.1% | volatile |
| 8 | Mexico | 25 1000 t | 2023 | up 56.2% | volatile |
| 9 | China | 22 1000 t | 2023 | up 10.0% | rising |
| 9 | France | 22 1000 t | 2023 | up 29.4% | rising |
| 9 | Panama | 22 1000 t | 2023 | up 450.0% | volatile |
| 9 | China, mainland | 22 1000 t | 2023 | up 10.0% | rising |
| 13 | Belgium | 20 1000 t | 2023 | up 300.0% | rising |
| 14 | Netherlands (Kingdom of the) | 16 1000 t | 2023 | up 33.3% | rising |
| 15 | Germany | 14 1000 t | 2023 | up 27.3% | rising |
| 15 | Spain | 14 1000 t | 2023 | up 133.3% | rising |
| 17 | United Kingdom of Great Britain and Northern Ireland | 11 1000 t | 2023 | up 120.0% | rising |
| 18 | Canada | 7 1000 t | 2023 | up 40.0% | rising |
| 18 | Türkiye | 7 1000 t | 2023 | up 40.0% | rising |
| 18 | Australia and New Zealand | 7 1000 t | 2023 | up 40.0% | rising |
| 21 | Latvia | 6 1000 t | 2023 | up 100.0% | rising |
| 21 | Oman | 6 1000 t | 2023 | — | volatile |
| 23 | Georgia | 5 1000 t | 2023 | up 66.7% | volatile |
| 23 | New Zealand | 5 1000 t | 2023 | up 66.7% | rising |
| 25 | Ecuador | 4 1000 t | 2023 | down 77.8% | volatile |
| 25 | Thailand | 4 1000 t | 2023 | up 33.3% | rising |
| 25 | Russian Federation | 4 1000 t | 2023 | — | volatile |
| 28 | Ireland | 3 1000 t | 2023 | down 57.1% | flat |
| 28 | Poland | 3 1000 t | 2023 | up 200.0% | volatile |
| 28 | Yemen | 3 1000 t | 2023 | — | volatile |
| 31 | Australia | 2 1000 t | 2023 | down 33.3% | volatile |
| 31 | Estonia | 2 1000 t | 2023 | — | volatile |
| 31 | Indonesia | 2 1000 t | 2023 | — | volatile |
| 31 | Mauritius | 2 1000 t | 2023 | up 100.0% | rising |
| 31 | Philippines | 2 1000 t | 2023 | — | volatile |
| 36 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 36 | Brazil | 1 1000 t | 2023 | — | volatile |
| 36 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 36 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 36 | Finland | 1 1000 t | 2023 | — | volatile |
| 36 | India | 1 1000 t | 2023 | down 95.0% | volatile |
| 36 | Malaysia | 1 1000 t | 2023 | unchanged | volatile |
| 36 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 36 | Portugal | 1 1000 t | 2023 | unchanged | volatile |
| 36 | Senegal | 1 1000 t | 2023 | — | volatile |
| 36 | Sweden | 1 1000 t | 2023 | unchanged | falling |
| 36 | Seychelles | 1 1000 t | 2023 | unchanged | rising |
| 48 | Angola | 0 1000 t | 2023 | — | volatile |
| 48 | Albania | 0 1000 t | 2023 | — | flat |
| 48 | Argentina | 0 1000 t | 2020 | down 100.0% | volatile |
| 48 | Antigua and Barbuda | 0 1000 t | 2017 | — | flat |
| 48 | Austria | 0 1000 t | 2023 | — | flat |
| 48 | Azerbaijan | 0 1000 t | 2017 | — | flat |
| 48 | Bangladesh | 0 1000 t | 2020 | — | flat |
| 48 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 48 | Bahamas | 0 1000 t | 2015 | — | flat |
| 48 | Bosnia and Herzegovina | 0 1000 t | 2018 | — | flat |
| 48 | Belarus | 0 1000 t | 2023 | — | flat |
| 48 | Botswana | 0 1000 t | 2023 | — | flat |
| 48 | Congo | 0 1000 t | 2020 | — | volatile |
| 48 | Colombia | 0 1000 t | 2023 | — | flat |
| 48 | Cuba | 0 1000 t | 2019 | — | flat |
| 48 | Cyprus | 0 1000 t | 2023 | — | flat |
| 48 | Czechia | 0 1000 t | 2023 | — | flat |
| 48 | Dominican Republic | 0 1000 t | 2019 | — | flat |
| 48 | Egypt | 0 1000 t | 2020 | — | flat |
| 48 | Fiji | 0 1000 t | 2023 | — | flat |
| 48 | Ghana | 0 1000 t | 2020 | — | flat |
| 48 | Guinea | 0 1000 t | 2023 | — | flat |
| 48 | Gambia | 0 1000 t | 2023 | — | volatile |
| 48 | Greece | 0 1000 t | 2023 | — | volatile |
| 48 | Guatemala | 0 1000 t | 2023 | — | flat |
| 48 | Guyana | 0 1000 t | 2023 | — | flat |
| 48 | Honduras | 0 1000 t | 2023 | — | flat |
| 48 | Croatia | 0 1000 t | 2023 | — | flat |
| 48 | Haiti | 0 1000 t | 2014 | — | flat |
| 48 | Hungary | 0 1000 t | 2023 | — | flat |
| 48 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Italy | 0 1000 t | 2023 | — | flat |
| 48 | Jordan | 0 1000 t | 2020 | — | flat |
| 48 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 48 | Kenya | 0 1000 t | 2023 | — | flat |
| 48 | Kuwait | 0 1000 t | 2017 | — | flat |
| 48 | Lebanon | 0 1000 t | 2018 | — | flat |
| 48 | Libya | 0 1000 t | 2014 | — | flat |
| 48 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 48 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 48 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 48 | Madagascar | 0 1000 t | 2017 | — | flat |
| 48 | North Macedonia | 0 1000 t | 2017 | — | flat |
| 48 | Montenegro | 0 1000 t | 2017 | — | flat |
| 48 | Mozambique | 0 1000 t | 2020 | — | flat |
| 48 | Mauritania | 0 1000 t | 2018 | down 100.0% | volatile |
| 48 | Namibia | 0 1000 t | 2023 | — | volatile |
| 48 | New Caledonia | 0 1000 t | 2017 | — | flat |
| 48 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 48 | Nepal | 0 1000 t | 2017 | — | flat |
| 48 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 48 | Romania | 0 1000 t | 2023 | — | flat |
| 48 | Saudi Arabia | 0 1000 t | 2020 | — | flat |
| 48 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 48 | El Salvador | 0 1000 t | 2023 | — | flat |
| 48 | Serbia | 0 1000 t | 2023 | — | flat |
| 48 | Slovakia | 0 1000 t | 2019 | — | flat |
| 48 | Slovenia | 0 1000 t | 2023 | — | flat |
| 48 | Eswatini | 0 1000 t | 2015 | — | flat |
| 48 | Tunisia | 0 1000 t | 2018 | — | flat |
| 48 | Ukraine | 0 1000 t | 2023 | — | flat |
| 48 | Uruguay | 0 1000 t | 2017 | — | flat |
| 48 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 48 | Zambia | 0 1000 t | 2017 | — | flat |
| 48 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 48 | Melanesia | 0 1000 t | 2023 | — | flat |
| 48 | Caribbean | 0 1000 t | 2023 | — | flat |
| 48 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 48 | Iran (Islamic Republic of) | 0 1000 t | 2019 | — | flat |
| 48 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Syrian Arab Republic | 0 1000 t | 2017 | — | flat |
| 48 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2017 | — | flat |
| 48 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 48 | United Republic of Tanzania | 0 1000 t | 2017 | — | flat |
| 48 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 48 | Democratic People's Republic of Korea | 0 1000 t | 2017 | — | flat |
| 48 | 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 1,038 1000 t
- Americas 467 1000 t
- Europe 416 1000 t
- South America 324 1000 t
- Northern Europe 321 1000 t
- Net Food Importing Developing Countries (NFIDCs) 263 1000 t
- European Union (27) 250 1000 t
- Asia 106 1000 t
- Northern America 96 1000 t
- United States of America 88 1000 t
- Western Europe 73 1000 t
- Central America 48 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.