Marine Fish, Other — Stock Variation 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 — Stock Variation is currently reported for 114 countries. The highest value is 0 1000 t in Albania; the lowest is -11 1000 t in Cambodia.
The median across all reporting countries is 0 1000 t, and the mean is -0.0965 1000 t.
Over the past decade 5 countries rose and 1 fell. The largest increase was in China (up 100.0%), and the largest decrease in Guyana (down 100.0%).
Marine Fish, Other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 0 1000 t | 2023 | — | flat |
| 1 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 1 | Armenia | 0 1000 t | 2023 | — | flat |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 1 | Australia | 0 1000 t | 2023 | — | flat |
| 1 | Austria | 0 1000 t | 2023 | — | volatile |
| 1 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 1 | Belgium | 0 1000 t | 2023 | — | flat |
| 1 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 1 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 1 | Bahrain | 0 1000 t | 2023 | — | flat |
| 1 | Bahamas | 0 1000 t | 2023 | — | flat |
| 1 | Belarus | 0 1000 t | 2023 | — | flat |
| 1 | Belize | 0 1000 t | 2023 | — | flat |
| 1 | Barbados | 0 1000 t | 2023 | — | flat |
| 1 | Chile | 0 1000 t | 2023 | — | flat |
| 1 | China | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Colombia | 0 1000 t | 2023 | — | flat |
| 1 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 1 | Cuba | 0 1000 t | 2019 | — | flat |
| 1 | Cyprus | 0 1000 t | 2023 | — | flat |
| 1 | Germany | 0 1000 t | 2023 | — | flat |
| 1 | Denmark | 0 1000 t | 2023 | — | flat |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 1 | Ecuador | 0 1000 t | 2023 | — | flat |
| 1 | Egypt | 0 1000 t | 2023 | — | flat |
| 1 | Spain | 0 1000 t | 2023 | — | flat |
| 1 | Estonia | 0 1000 t | 2023 | — | flat |
| 1 | Finland | 0 1000 t | 2023 | — | flat |
| 1 | Fiji | 0 1000 t | 2019 | — | flat |
| 1 | France | 0 1000 t | 2023 | — | flat |
| 1 | Gabon | 0 1000 t | 2023 | — | flat |
| 1 | Georgia | 0 1000 t | 2023 | — | flat |
| 1 | Grenada | 0 1000 t | 2023 | — | flat |
| 1 | Guatemala | 0 1000 t | 2023 | — | flat |
| 1 | Guyana | 0 1000 t | 2023 | down 100.0% | flat |
| 1 | Honduras | 0 1000 t | 2023 | — | flat |
| 1 | Indonesia | 0 1000 t | 2023 | — | flat |
| 1 | India | 0 1000 t | 2023 | — | flat |
| 1 | Ireland | 0 1000 t | 2023 | — | flat |
| 1 | Iceland | 0 1000 t | 2023 | — | flat |
| 1 | Italy | 0 1000 t | 2023 | — | volatile |
| 1 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 1 | Kenya | 0 1000 t | 2023 | — | flat |
| 1 | Kiribati | 0 1000 t | 2023 | — | flat |
| 1 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 1 | Kuwait | 0 1000 t | 2023 | — | flat |
| 1 | Lebanon | 0 1000 t | 2023 | — | flat |
| 1 | Libya | 0 1000 t | 2023 | — | flat |
| 1 | Lesotho | 0 1000 t | 2023 | — | flat |
| 1 | Lithuania | 0 1000 t | 2023 | — | flat |
| 1 | Latvia | 0 1000 t | 2023 | — | flat |
| 1 | Morocco | 0 1000 t | 2023 | — | flat |
| 1 | Maldives | 0 1000 t | 2023 | — | flat |
| 1 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 1 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 1 | Malta | 0 1000 t | 2023 | — | flat |
| 1 | Myanmar | 0 1000 t | 2023 | — | flat |
| 1 | Mongolia | 0 1000 t | 2023 | — | flat |
| 1 | Mozambique | 0 1000 t | 2023 | — | flat |
| 1 | Mauritania | 0 1000 t | 2023 | — | flat |
| 1 | Mauritius | 0 1000 t | 2023 | — | flat |
| 1 | Malaysia | 0 1000 t | 2023 | — | flat |
| 1 | Namibia | 0 1000 t | 2023 | — | flat |
| 1 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 1 | Niger | 0 1000 t | 2023 | — | flat |
| 1 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 1 | Norway | 0 1000 t | 2023 | — | flat |
| 1 | New Zealand | 0 1000 t | 2023 | — | flat |
| 1 | Oman | 0 1000 t | 2023 | — | flat |
| 1 | Pakistan | 0 1000 t | 2023 | — | flat |
| 1 | Panama | 0 1000 t | 2023 | — | flat |
| 1 | Peru | 0 1000 t | 2023 | — | volatile |
| 1 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 1 | Poland | 0 1000 t | 2023 | — | flat |
| 1 | Portugal | 0 1000 t | 2023 | — | flat |
| 1 | Qatar | 0 1000 t | 2023 | — | flat |
| 1 | Romania | 0 1000 t | 2023 | — | flat |
| 1 | Rwanda | 0 1000 t | 2023 | — | flat |
| 1 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 1 | El Salvador | 0 1000 t | 2023 | — | flat |
| 1 | Serbia | 0 1000 t | 2023 | — | flat |
| 1 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 1 | Suriname | 0 1000 t | 2023 | — | flat |
| 1 | Slovenia | 0 1000 t | 2023 | — | flat |
| 1 | Sweden | 0 1000 t | 2023 | — | flat |
| 1 | Eswatini | 0 1000 t | 2023 | — | flat |
| 1 | Seychelles | 0 1000 t | 2023 | — | flat |
| 1 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 1 | Tonga | 0 1000 t | 2023 | — | flat |
| 1 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 1 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 1 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 1 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 1 | Samoa | 0 1000 t | 2023 | — | flat |
| 1 | Zambia | 0 1000 t | 2023 | — | flat |
| 1 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 1 | Micronesia | 0 1000 t | 2023 | — | flat |
| 1 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 1 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 1 | Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 1 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 1 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 1 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 1 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 115 | Cambodia | -11 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Africa 0 1000 t
- World 0 1000 t
- European Union (27) 0 1000 t
- Asia 0 1000 t
- Europe 0 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Americas 0 1000 t
- Northern America 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Central Asia 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.