Freshwater Fish — Other uses (non-food) 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
Freshwater Fish — Other uses (non-food) is currently reported for 134 countries. The highest value is 1,000 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 14.96 1000 t.
Freshwater Fish — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,000 1000 t | 2023 | up 122.2% | rising |
| 1 | China, mainland | 1,000 1000 t | 2023 | up 122.2% | rising |
| 3 | Romania | 3 1000 t | 2023 | up 50.0% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | flat |
| 5 | Angola | 0 1000 t | 2023 | — | flat |
| 5 | Albania | 0 1000 t | 2023 | — | flat |
| 5 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 5 | Argentina | 0 1000 t | 2023 | — | flat |
| 5 | Armenia | 0 1000 t | 2023 | — | flat |
| 5 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 5 | Australia | 0 1000 t | 2023 | — | flat |
| 5 | Austria | 0 1000 t | 2023 | — | flat |
| 5 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 5 | Belgium | 0 1000 t | 2023 | — | volatile |
| 5 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 5 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 5 | Bahrain | 0 1000 t | 2023 | — | flat |
| 5 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 5 | Bosnia and Herzegovina | 0 1000 t | 2018 | — | flat |
| 5 | Belarus | 0 1000 t | 2023 | — | flat |
| 5 | Belize | 0 1000 t | 2023 | — | flat |
| 5 | Brazil | 0 1000 t | 2023 | — | flat |
| 5 | Barbados | 0 1000 t | 2023 | — | flat |
| 5 | Botswana | 0 1000 t | 2023 | — | flat |
| 5 | Canada | 0 1000 t | 2023 | — | flat |
| 5 | Switzerland | 0 1000 t | 2023 | — | flat |
| 5 | Chile | 0 1000 t | 2023 | — | flat |
| 5 | Cameroon | 0 1000 t | 2023 | — | flat |
| 5 | Comoros | 0 1000 t | 2017 | — | volatile |
| 5 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 5 | Cyprus | 0 1000 t | 2023 | — | flat |
| 5 | Czechia | 0 1000 t | 2023 | — | flat |
| 5 | Germany | 0 1000 t | 2023 | — | volatile |
| 5 | Denmark | 0 1000 t | 2023 | — | flat |
| 5 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 5 | Algeria | 0 1000 t | 2023 | — | flat |
| 5 | Ecuador | 0 1000 t | 2023 | — | flat |
| 5 | Spain | 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 | — | volatile |
| 5 | Gabon | 0 1000 t | 2023 | — | flat |
| 5 | Georgia | 0 1000 t | 2023 | — | flat |
| 5 | Ghana | 0 1000 t | 2023 | — | flat |
| 5 | Greece | 0 1000 t | 2023 | — | flat |
| 5 | Grenada | 0 1000 t | 2023 | — | flat |
| 5 | Guatemala | 0 1000 t | 2023 | — | flat |
| 5 | Guyana | 0 1000 t | 2023 | — | flat |
| 5 | Honduras | 0 1000 t | 2023 | — | flat |
| 5 | Croatia | 0 1000 t | 2023 | — | flat |
| 5 | Hungary | 0 1000 t | 2023 | — | flat |
| 5 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 5 | India | 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 | Israel | 0 1000 t | 2023 | — | flat |
| 5 | Italy | 0 1000 t | 2023 | — | flat |
| 5 | Jamaica | 0 1000 t | 2023 | — | flat |
| 5 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 5 | Kenya | 0 1000 t | 2023 | — | flat |
| 5 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 5 | Cambodia | 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 | Lebanon | 0 1000 t | 2023 | — | flat |
| 5 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 5 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 5 | Lesotho | 0 1000 t | 2019 | — | flat |
| 5 | Lithuania | 0 1000 t | 2023 | — | flat |
| 5 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 5 | Latvia | 0 1000 t | 2023 | — | flat |
| 5 | Morocco | 0 1000 t | 2023 | — | flat |
| 5 | Maldives | 0 1000 t | 2023 | — | flat |
| 5 | Mexico | 0 1000 t | 2023 | — | flat |
| 5 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 5 | Malta | 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 | — | volatile |
| 5 | Namibia | 0 1000 t | 2023 | — | flat |
| 5 | Nigeria | 0 1000 t | 2023 | — | flat |
| 5 | Norway | 0 1000 t | 2023 | — | flat |
| 5 | Nepal | 0 1000 t | 2023 | — | volatile |
| 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 | 2023 | — | flat |
| 5 | Poland | 0 1000 t | 2023 | — | flat |
| 5 | Portugal | 0 1000 t | 2023 | — | flat |
| 5 | Qatar | 0 1000 t | 2023 | — | flat |
| 5 | Rwanda | 0 1000 t | 2023 | — | flat |
| 5 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 5 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 5 | El Salvador | 0 1000 t | 2023 | — | flat |
| 5 | Serbia | 0 1000 t | 2023 | — | flat |
| 5 | Suriname | 0 1000 t | 2023 | — | flat |
| 5 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 5 | Slovenia | 0 1000 t | 2023 | — | flat |
| 5 | Sweden | 0 1000 t | 2023 | — | flat |
| 5 | Eswatini | 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 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 5 | Tunisia | 0 1000 t | 2023 | — | flat |
| 5 | Uganda | 0 1000 t | 2023 | — | flat |
| 5 | Ukraine | 0 1000 t | 2023 | — | flat |
| 5 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 5 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 5 | Zimbabwe | 0 1000 t | 2019 | — | flat |
| 5 | Micronesia | 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 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 5 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 5 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 5 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 5 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 5 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 5 | Türkiye | 0 1000 t | 2023 | — | flat |
| 5 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 5 | Lao People's Democratic Republic | 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 | Democratic People's Republic of Korea | 0 1000 t | 2017 | — | flat |
| 5 | 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 1,008 1000 t
- Asia 1,002 1000 t
- Eastern Asia 1,000 1000 t
- Europe 6 1000 t
- European Union (27) 5 1000 t
- Caribbean 0 1000 t
- Eastern Europe 4 1000 t
- Western Europe 1 1000 t
- Northern Europe 1 1000 t
- Western Asia 1 1000 t
- Africa 0 1000 t
- South 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.