Fish, Seafood — Seed 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, Seafood — Seed is currently reported for 76 countries. The highest value is 6 1000 t in Canada; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 0.1447 1000 t.
Fish, Seafood — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 6 1000 t | 2023 | down 25.0% | volatile |
| 2 | Norway | 3 1000 t | 2023 | down 97.4% | volatile |
| 3 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 3 | Nicaragua | 1 1000 t | 2023 | — | rising |
| 5 | Albania | 0 1000 t | 2023 | — | flat |
| 5 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 5 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 5 | Belgium | 0 1000 t | 2023 | — | flat |
| 5 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 5 | Bahrain | 0 1000 t | 2023 | — | flat |
| 5 | Bahamas | 0 1000 t | 2023 | — | flat |
| 5 | Belarus | 0 1000 t | 2023 | — | flat |
| 5 | Belize | 0 1000 t | 2023 | — | flat |
| 5 | Chile | 0 1000 t | 2023 | — | flat |
| 5 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 5 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 5 | Germany | 0 1000 t | 2023 | — | flat |
| 5 | Denmark | 0 1000 t | 2023 | — | flat |
| 5 | Algeria | 0 1000 t | 2023 | — | flat |
| 5 | Ecuador | 0 1000 t | 2023 | — | flat |
| 5 | Estonia | 0 1000 t | 2023 | — | flat |
| 5 | Finland | 0 1000 t | 2023 | — | flat |
| 5 | France | 0 1000 t | 2023 | — | flat |
| 5 | Guyana | 0 1000 t | 2023 | — | flat |
| 5 | Honduras | 0 1000 t | 2023 | — | volatile |
| 5 | Indonesia | 0 1000 t | 2023 | — | flat |
| 5 | Ireland | 0 1000 t | 2023 | — | flat |
| 5 | Iraq | 0 1000 t | 2023 | — | flat |
| 5 | Iceland | 0 1000 t | 2023 | — | flat |
| 5 | Italy | 0 1000 t | 2023 | — | flat |
| 5 | Kiribati | 0 1000 t | 2023 | — | flat |
| 5 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 5 | Kuwait | 0 1000 t | 2023 | — | flat |
| 5 | Lithuania | 0 1000 t | 2023 | — | flat |
| 5 | Latvia | 0 1000 t | 2023 | — | flat |
| 5 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Maldives | 0 1000 t | 2023 | — | flat |
| 5 | Mexico | 0 1000 t | 2023 | — | flat |
| 5 | Myanmar | 0 1000 t | 2023 | — | flat |
| 5 | Mongolia | 0 1000 t | 2023 | — | flat |
| 5 | Mauritania | 0 1000 t | 2023 | — | flat |
| 5 | Mauritius | 0 1000 t | 2023 | — | flat |
| 5 | Malaysia | 0 1000 t | 2023 | — | flat |
| 5 | Namibia | 0 1000 t | 2023 | — | flat |
| 5 | New Zealand | 0 1000 t | 2023 | — | flat |
| 5 | Oman | 0 1000 t | 2023 | — | flat |
| 5 | Pakistan | 0 1000 t | 2023 | — | flat |
| 5 | Panama | 0 1000 t | 2023 | — | flat |
| 5 | Peru | 0 1000 t | 2023 | — | flat |
| 5 | Philippines | 0 1000 t | 2019 | — | flat |
| 5 | Poland | 0 1000 t | 2023 | — | flat |
| 5 | Qatar | 0 1000 t | 2023 | — | flat |
| 5 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 5 | El Salvador | 0 1000 t | 2023 | — | flat |
| 5 | Suriname | 0 1000 t | 2023 | — | flat |
| 5 | Sweden | 0 1000 t | 2023 | — | flat |
| 5 | Seychelles | 0 1000 t | 2023 | — | flat |
| 5 | Thailand | 0 1000 t | 2023 | — | flat |
| 5 | Tonga | 0 1000 t | 2023 | — | flat |
| 5 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 5 | Micronesia | 0 1000 t | 2023 | — | flat |
| 5 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 5 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 5 | Melanesia | 0 1000 t | 2023 | — | flat |
| 5 | Polynesia | 0 1000 t | 2023 | — | flat |
| 5 | Caribbean | 0 1000 t | 2023 | — | flat |
| 5 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 5 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 5 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 5 | China, mainland | 0 1000 t | 2023 | — | flat |
| 5 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 5 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 5 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 5 | United Kingdom of Great Britain and Northern Ireland | 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 299 1000 t
- Americas 294 1000 t
- Northern America 291 1000 t
- United States of America 285 1000 t
- Europe 3 1000 t
- Central America 3 1000 t
- Northern Europe 3 1000 t
- Asia 2 1000 t
- Eastern Asia 2 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1 1000 t
- 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.