Marine Fish, Other — Feed 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
Marine Fish, Other — Feed is currently reported for 69 countries. The highest value is 822 1000 t in Viet Nam; the lowest is 0 1000 t in Saint Kitts and Nevis.
The median across all reporting countries is 0 1000 t, and the mean is 17.07 1000 t.
Over the past decade 7 countries rose and 4 fell. The largest increase was in Thailand (up 182.6%), and the largest decrease in Peru (down 100.0%).
Marine Fish, Other — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 822 1000 t | 2023 | up 50.8% | rising |
| 2 | Thailand | 195 1000 t | 2023 | up 182.6% | volatile |
| 3 | Republic of Korea | 39 1000 t | 2023 | down 29.1% | volatile |
| 4 | China | 35 1000 t | 2023 | up 40.0% | falling |
| 4 | China, Hong Kong SAR | 35 1000 t | 2023 | up 40.0% | falling |
| 6 | Pakistan | 23 1000 t | 2023 | up 43.8% | rising |
| 7 | Caribbean | 12 1000 t | 2023 | up 33.3% | rising |
| 7 | Dominican Republic | 12 1000 t | 2023 | up 33.3% | rising |
| 9 | Myanmar | 2 1000 t | 2023 | down 88.9% | volatile |
| 9 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 11 | North Macedonia | 1 1000 t | 2023 | unchanged | falling |
| 12 | Poland | 0 1000 t | 2023 | — | flat |
| 12 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Panama | 0 1000 t | 2023 | — | flat |
| 12 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 12 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 12 | El Salvador | 0 1000 t | 2023 | — | flat |
| 12 | Suriname | 0 1000 t | 2023 | — | flat |
| 12 | Sweden | 0 1000 t | 2023 | — | flat |
| 12 | Qatar | 0 1000 t | 2023 | — | flat |
| 12 | Seychelles | 0 1000 t | 2023 | — | flat |
| 12 | Tonga | 0 1000 t | 2023 | — | flat |
| 12 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 12 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 12 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 12 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 12 | Micronesia | 0 1000 t | 2023 | — | flat |
| 12 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 12 | Melanesia | 0 1000 t | 2023 | — | flat |
| 12 | Polynesia | 0 1000 t | 2023 | — | flat |
| 12 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 12 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 12 | Ireland | 0 1000 t | 2023 | — | flat |
| 12 | Honduras | 0 1000 t | 2023 | — | flat |
| 12 | Guyana | 0 1000 t | 2023 | — | flat |
| 12 | France | 0 1000 t | 2023 | — | flat |
| 12 | Finland | 0 1000 t | 2023 | — | flat |
| 12 | Estonia | 0 1000 t | 2023 | — | flat |
| 12 | Ecuador | 0 1000 t | 2023 | — | flat |
| 12 | Denmark | 0 1000 t | 2023 | — | flat |
| 12 | Germany | 0 1000 t | 2023 | — | flat |
| 12 | Cyprus | 0 1000 t | 2023 | — | flat |
| 12 | New Zealand | 0 1000 t | 2023 | — | flat |
| 12 | Chile | 0 1000 t | 2023 | — | flat |
| 12 | Belize | 0 1000 t | 2023 | — | flat |
| 12 | Belarus | 0 1000 t | 2023 | — | flat |
| 12 | Bahamas | 0 1000 t | 2023 | — | flat |
| 12 | Bahrain | 0 1000 t | 2023 | — | flat |
| 12 | Belgium | 0 1000 t | 2023 | — | flat |
| 12 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 12 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 12 | Albania | 0 1000 t | 2023 | — | flat |
| 12 | Italy | 0 1000 t | 2023 | — | flat |
| 12 | Oman | 0 1000 t | 2023 | — | flat |
| 12 | Norway | 0 1000 t | 2023 | — | flat |
| 12 | Namibia | 0 1000 t | 2023 | — | flat |
| 12 | Mauritius | 0 1000 t | 2023 | — | flat |
| 12 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 12 | Mongolia | 0 1000 t | 2023 | — | flat |
| 12 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 12 | Mexico | 0 1000 t | 2023 | — | flat |
| 12 | Maldives | 0 1000 t | 2023 | — | flat |
| 12 | Latvia | 0 1000 t | 2023 | — | flat |
| 12 | Lithuania | 0 1000 t | 2023 | — | flat |
| 12 | Iceland | 0 1000 t | 2023 | — | flat |
| 12 | Kiribati | 0 1000 t | 2023 | — | flat |
| 12 | Kuwait | 0 1000 t | 2023 | — | flat |
| 12 | Saint Kitts and Nevis | 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 1,235 1000 t
- Asia 1,117 1000 t
- South-eastern Asia 1,021 1000 t
- Americas 112 1000 t
- United States of America 100 1000 t
- Northern America 100 1000 t
- Eastern Asia 74 1000 t
- Net Food Importing Developing Countries (NFIDCs) 42 1000 t
- Southern Asia 23 1000 t
- Small Island Developing States (SIDS) 12 1000 t
- Least Developed Countries (LDCs) 7 1000 t
- Africa 4 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.