Fish, Body Oil — Import 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 — Import quantity is currently reported for 63 countries. The highest value is 221 1000 t in Norway; the lowest is 0 1000 t in Argentina.
The median across all reporting countries is 3 1000 t, and the mean is 17.37 1000 t.
Over the past decade 26 countries rose and 12 fell. The largest increase was in Belgium (up 300.0%), and the largest decrease in Lithuania (down 100.0%).
Fish, Body Oil — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Norway | 221 1000 t | 2023 | up 31.5% | rising |
| 2 | Denmark | 116 1000 t | 2023 | up 18.4% | flat |
| 3 | China | 93 1000 t | 2023 | down 9.7% | falling |
| 4 | China, mainland | 85 1000 t | 2023 | up 28.8% | rising |
| 5 | Chile | 77 1000 t | 2023 | up 83.3% | rising |
| 6 | Turkey | 69 1000 t | 2023 | up 91.7% | rising |
| 7 | Canada | 54 1000 t | 2023 | up 58.8% | rising |
| 8 | Greece | 42 1000 t | 2023 | up 44.8% | rising |
| 9 | Spain | 35 1000 t | 2023 | up 118.8% | rising |
| 10 | France | 33 1000 t | 2023 | up 22.2% | rising |
| 11 | Netherlands (Kingdom of the) | 28 1000 t | 2023 | up 27.3% | falling |
| 12 | United Kingdom | 24 1000 t | 2023 | up 100.0% | rising |
| 12 | Belgium | 24 1000 t | 2023 | up 300.0% | rising |
| 14 | Australia and New Zealand | 21 1000 t | 2023 | up 110.0% | rising |
| 15 | United States | 20 1000 t | 2023 | down 9.1% | flat |
| 16 | Australia | 18 1000 t | 2023 | up 125.0% | rising |
| 17 | Italy | 15 1000 t | 2023 | up 25.0% | rising |
| 18 | Vietnam | 11 1000 t | 2023 | down 8.3% | falling |
| 19 | Iceland | 10 1000 t | 2023 | down 23.1% | rising |
| 20 | Malaysia | 9 1000 t | 2023 | up 80.0% | rising |
| 20 | Indonesia | 9 1000 t | 2023 | up 50.0% | rising |
| 22 | Thailand | 8 1000 t | 2023 | up 60.0% | rising |
| 23 | Republic of Korea | 7 1000 t | 2023 | up 16.7% | falling |
| 23 | China, Taiwan Province of | 7 1000 t | 2023 | down 81.1% | volatile |
| 25 | Brazil | 5 1000 t | 2023 | up 66.7% | rising |
| 25 | Germany | 5 1000 t | 2023 | down 37.5% | falling |
| 27 | Colombia | 4 1000 t | 2023 | up 33.3% | rising |
| 27 | Bangladesh | 4 1000 t | 2023 | up 300.0% | volatile |
| 27 | Ecuador | 4 1000 t | 2023 | up 300.0% | volatile |
| 27 | New Zealand | 4 1000 t | 2023 | up 300.0% | volatile |
| 31 | Peru | 3 1000 t | 2023 | down 50.0% | falling |
| 31 | Czechia | 3 1000 t | 2023 | — | volatile |
| 33 | Sweden | 2 1000 t | 2023 | unchanged | falling |
| 33 | Russia | 2 1000 t | 2023 | up 100.0% | rising |
| 33 | Austria | 2 1000 t | 2023 | up 100.0% | rising |
| 33 | Switzerland | 2 1000 t | 2023 | unchanged | rising |
| 33 | Poland | 2 1000 t | 2023 | down 50.0% | falling |
| 33 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 33 | India | 2 1000 t | 2023 | — | volatile |
| 40 | Serbia | 1 1000 t | 2023 | — | volatile |
| 40 | Armenia | 1 1000 t | 2023 | — | volatile |
| 40 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 40 | Egypt | 1 1000 t | 2023 | — | volatile |
| 40 | Finland | 1 1000 t | 2023 | down 66.7% | volatile |
| 40 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 40 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 40 | Israel | 1 1000 t | 2023 | unchanged | volatile |
| 40 | Mexico | 1 1000 t | 2023 | down 50.0% | volatile |
| 40 | Panama | 1 1000 t | 2023 | — | volatile |
| 40 | Romania | 1 1000 t | 2023 | unchanged | rising |
| 40 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 52 | Cambodia | 0 1000 t | 2019 | — | volatile |
| 52 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 52 | Ireland | 0 1000 t | 2023 | — | volatile |
| 52 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Morocco | 0 1000 t | 2023 | — | volatile |
| 52 | Ghana | 0 1000 t | 2023 | — | volatile |
| 52 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 52 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 52 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 52 | Philippines | 0 1000 t | 2023 | — | volatile |
| 52 | Portugal | 0 1000 t | 2023 | — | volatile |
| 52 | Argentina | 0 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.
- World 1,009 1000 t
- Europe 571 1000 t
- Northern Europe 377 1000 t
- European Union (27) 309 1000 t
- Asia 240 1000 t
- Americas 173 1000 t
- Eastern Asia 124 1000 t
- South America 93 1000 t
- Southern Europe 93 1000 t
- Western Europe 93 1000 t
- Northern America 75 1000 t
- Western Asia 72 1000 t
- South-eastern Asia 37 1000 t
- Oceania 21 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11 1000 t
- Eastern Europe 9 1000 t
- Southern Asia 7 1000 t
- Central America 5 1000 t
- Least Developed Countries (LDCs) 5 1000 t
- Africa 4 1000 t
- Western Africa 2 1000 t
- Eastern Africa 1 1000 t
- Northern Africa 1 1000 t
- Small island developing states (SIDS) 1 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Southern Africa 0 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.