Aquatic Animals, Others — 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
Aquatic Animals, Others — Import quantity is currently reported for 169 countries. The highest value is 230 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 0 1000 t, and the mean is 3.57 1000 t.
Over the past decade 6 countries rose and 9 fell. The largest increase was in Malaysia (up 2,566.7%), and the largest decrease in Belgium (down 100.0%).
Aquatic Animals, Others — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 230 1000 t | 2023 | up 296.6% | volatile |
| 2 | China, mainland | 208 1000 t | 2023 | up 890.5% | volatile |
| 3 | Malaysia | 80 1000 t | 2023 | up 2,566.7% | volatile |
| 4 | Republic of Korea | 24 1000 t | 2023 | up 118.2% | volatile |
| 5 | Saudi Arabia | 21 1000 t | 2023 | — | volatile |
| 6 | China, Hong Kong SAR | 14 1000 t | 2023 | down 50.0% | falling |
| 7 | China, Taiwan Province of | 7 1000 t | 2023 | down 12.5% | falling |
| 8 | Thailand | 3 1000 t | 2023 | up 50.0% | rising |
| 9 | Australia | 2 1000 t | 2023 | unchanged | volatile |
| 9 | Canada | 2 1000 t | 2023 | down 50.0% | rising |
| 9 | Italy | 2 1000 t | 2023 | up 100.0% | falling |
| 9 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | volatile |
| 13 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 13 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 13 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 13 | Denmark | 1 1000 t | 2023 | — | volatile |
| 13 | Spain | 1 1000 t | 2023 | down 75.0% | falling |
| 13 | France | 1 1000 t | 2023 | down 80.0% | volatile |
| 13 | Mexico | 1 1000 t | 2023 | — | volatile |
| 13 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | rising |
| 13 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 22 | Angola | 0 1000 t | 2023 | — | flat |
| 22 | Albania | 0 1000 t | 2023 | — | flat |
| 22 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 22 | Argentina | 0 1000 t | 2023 | — | flat |
| 22 | Armenia | 0 1000 t | 2023 | — | flat |
| 22 | Austria | 0 1000 t | 2023 | — | volatile |
| 22 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 22 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 22 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 22 | Bahrain | 0 1000 t | 2023 | — | flat |
| 22 | Bahamas | 0 1000 t | 2023 | — | flat |
| 22 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 22 | Belarus | 0 1000 t | 2023 | — | flat |
| 22 | Belize | 0 1000 t | 2023 | — | flat |
| 22 | Brazil | 0 1000 t | 2023 | — | flat |
| 22 | Barbados | 0 1000 t | 2023 | — | flat |
| 22 | Botswana | 0 1000 t | 2023 | — | flat |
| 22 | Chile | 0 1000 t | 2023 | — | flat |
| 22 | Cameroon | 0 1000 t | 2023 | — | flat |
| 22 | Congo | 0 1000 t | 2023 | — | flat |
| 22 | Colombia | 0 1000 t | 2023 | — | flat |
| 22 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 22 | Cuba | 0 1000 t | 2019 | — | flat |
| 22 | Cyprus | 0 1000 t | 2023 | — | flat |
| 22 | Czechia | 0 1000 t | 2023 | — | volatile |
| 22 | Djibouti | 0 1000 t | 2023 | — | flat |
| 22 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 22 | Algeria | 0 1000 t | 2023 | — | flat |
| 22 | Ecuador | 0 1000 t | 2023 | — | flat |
| 22 | Egypt | 0 1000 t | 2023 | — | flat |
| 22 | Estonia | 0 1000 t | 2023 | — | volatile |
| 22 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 22 | Finland | 0 1000 t | 2023 | — | flat |
| 22 | Fiji | 0 1000 t | 2023 | — | flat |
| 22 | Gabon | 0 1000 t | 2023 | — | flat |
| 22 | Georgia | 0 1000 t | 2023 | — | flat |
| 22 | Ghana | 0 1000 t | 2023 | — | flat |
| 22 | Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 22 | Greece | 0 1000 t | 2023 | — | volatile |
| 22 | Grenada | 0 1000 t | 2023 | — | flat |
| 22 | Guatemala | 0 1000 t | 2023 | — | flat |
| 22 | Guyana | 0 1000 t | 2023 | — | flat |
| 22 | Honduras | 0 1000 t | 2023 | — | flat |
| 22 | Croatia | 0 1000 t | 2023 | — | flat |
| 22 | Haiti | 0 1000 t | 2023 | — | flat |
| 22 | Hungary | 0 1000 t | 2023 | — | flat |
| 22 | Indonesia | 0 1000 t | 2023 | — | flat |
| 22 | India | 0 1000 t | 2023 | — | flat |
| 22 | Ireland | 0 1000 t | 2023 | — | flat |
| 22 | Iraq | 0 1000 t | 2023 | — | flat |
| 22 | Iceland | 0 1000 t | 2023 | — | flat |
| 22 | Israel | 0 1000 t | 2023 | — | flat |
| 22 | Jamaica | 0 1000 t | 2023 | — | flat |
| 22 | Jordan | 0 1000 t | 2023 | — | flat |
| 22 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 22 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 22 | Cambodia | 0 1000 t | 2023 | — | flat |
| 22 | Kiribati | 0 1000 t | 2023 | — | flat |
| 22 | Kuwait | 0 1000 t | 2023 | — | flat |
| 22 | Lebanon | 0 1000 t | 2023 | — | flat |
| 22 | Liberia | 0 1000 t | 2023 | — | flat |
| 22 | Libya | 0 1000 t | 2023 | — | flat |
| 22 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 22 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 22 | Lesotho | 0 1000 t | 2023 | — | flat |
| 22 | Lithuania | 0 1000 t | 2023 | — | flat |
| 22 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 22 | Latvia | 0 1000 t | 2023 | — | flat |
| 22 | Morocco | 0 1000 t | 2023 | — | flat |
| 22 | Madagascar | 0 1000 t | 2023 | — | flat |
| 22 | Maldives | 0 1000 t | 2023 | — | flat |
| 22 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 22 | North Macedonia | 0 1000 t | 2020 | — | flat |
| 22 | Malta | 0 1000 t | 2023 | — | flat |
| 22 | Myanmar | 0 1000 t | 2023 | — | flat |
| 22 | Montenegro | 0 1000 t | 2023 | — | flat |
| 22 | Mongolia | 0 1000 t | 2023 | — | flat |
| 22 | Mozambique | 0 1000 t | 2023 | — | flat |
| 22 | Mauritania | 0 1000 t | 2018 | — | flat |
| 22 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Malawi | 0 1000 t | 2020 | — | flat |
| 22 | Namibia | 0 1000 t | 2023 | — | flat |
| 22 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 22 | Niger | 0 1000 t | 2020 | — | flat |
| 22 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 22 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 22 | Norway | 0 1000 t | 2023 | — | flat |
| 22 | Nepal | 0 1000 t | 2020 | — | flat |
| 22 | New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Oman | 0 1000 t | 2023 | — | flat |
| 22 | Pakistan | 0 1000 t | 2023 | — | flat |
| 22 | Panama | 0 1000 t | 2023 | — | flat |
| 22 | Peru | 0 1000 t | 2023 | — | flat |
| 22 | Philippines | 0 1000 t | 2023 | — | flat |
| 22 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Poland | 0 1000 t | 2023 | — | flat |
| 22 | Portugal | 0 1000 t | 2023 | — | volatile |
| 22 | Paraguay | 0 1000 t | 2020 | — | flat |
| 22 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Qatar | 0 1000 t | 2023 | — | flat |
| 22 | Romania | 0 1000 t | 2023 | — | flat |
| 22 | Rwanda | 0 1000 t | 2023 | — | flat |
| 22 | Senegal | 0 1000 t | 2023 | — | flat |
| 22 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 22 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 22 | El Salvador | 0 1000 t | 2023 | — | flat |
| 22 | Serbia | 0 1000 t | 2023 | — | volatile |
| 22 | Slovakia | 0 1000 t | 2023 | — | flat |
| 22 | Slovenia | 0 1000 t | 2023 | — | flat |
| 22 | Sweden | 0 1000 t | 2023 | — | flat |
| 22 | Eswatini | 0 1000 t | 2018 | — | flat |
| 22 | Seychelles | 0 1000 t | 2023 | — | flat |
| 22 | Tajikistan | 0 1000 t | 2018 | — | flat |
| 22 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 22 | Tonga | 0 1000 t | 2023 | — | flat |
| 22 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 22 | Tunisia | 0 1000 t | 2023 | — | flat |
| 22 | Uganda | 0 1000 t | 2020 | — | flat |
| 22 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 22 | Uruguay | 0 1000 t | 2018 | — | flat |
| 22 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 22 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 22 | Samoa | 0 1000 t | 2023 | — | flat |
| 22 | Yemen | 0 1000 t | 2023 | — | flat |
| 22 | Zambia | 0 1000 t | 2023 | — | flat |
| 22 | Zimbabwe | 0 1000 t | 2020 | — | flat |
| 22 | Micronesia | 0 1000 t | 2023 | — | flat |
| 22 | Timor-Leste | 0 1000 t | 2017 | — | flat |
| 22 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 22 | Melanesia | 0 1000 t | 2023 | — | flat |
| 22 | Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 22 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 22 | Bolivia (Plurinational State of) | 0 1000 t | 2020 | — | flat |
| 22 | Iran (Islamic Republic of) | 0 1000 t | 2017 | — | flat |
| 22 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 22 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 22 | Syrian Arab Republic | 0 1000 t | 2017 | — | flat |
| 22 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 22 | Viet Nam | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Türkiye | 0 1000 t | 2023 | — | flat |
| 22 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 22 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 22 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 22 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 423 1000 t
- Asia 393 1000 t
- Eastern Asia 286 1000 t
- South-eastern Asia 84 1000 t
- Western Asia 22 1000 t
- Americas 16 1000 t
- Northern America 15 1000 t
- United States of America 13 1000 t
- Europe 10 1000 t
- European Union (27) 8 1000 t
- Western Europe 4 1000 t
- Southern Europe 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.