Fish, Seafood — 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
Fish, Seafood — Stock Variation is currently reported for 108 countries. The highest value is 103 1000 t in Peru; the lowest is -206 1000 t in Mauritania.
The median across all reporting countries is 0 1000 t, and the mean is -5.73 1000 t.
Over the past decade 32 countries rose and 26 fell. The largest increase was in Belgium (up 100.0%), and the largest decrease in China, Taiwan Province of (down 900.0%).
Fish, Seafood — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Peru | 103 1000 t | 2023 | down 90.2% | volatile |
| 2 | Ireland | 6 1000 t | 2023 | up 20.0% | volatile |
| 3 | Angola | 0 1000 t | 2023 | — | volatile |
| 3 | Albania | 0 1000 t | 2023 | — | volatile |
| 3 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Austria | 0 1000 t | 2023 | — | volatile |
| 3 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 3 | Bahamas | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Belize | 0 1000 t | 2023 | — | volatile |
| 3 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Canada | 0 1000 t | 2023 | — | volatile |
| 3 | Switzerland | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Czechia | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | flat |
| 3 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Finland | 0 1000 t | 2023 | — | flat |
| 3 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Gabon | 0 1000 t | 2023 | — | flat |
| 3 | United Kingdom | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 3 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Guyana | 0 1000 t | 2023 | down 100.0% | flat |
| 3 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Croatia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Indonesia | 0 1000 t | 2023 | — | flat |
| 3 | India | 0 1000 t | 2023 | — | volatile |
| 3 | Israel | 0 1000 t | 2023 | — | flat |
| 3 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 3 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 3 | Libya | 0 1000 t | 2023 | — | flat |
| 3 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Myanmar | 0 1000 t | 2023 | — | flat |
| 3 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 3 | Malawi | 0 1000 t | 2023 | — | flat |
| 3 | Malaysia | 0 1000 t | 2023 | — | flat |
| 3 | Nigeria | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Oman | 0 1000 t | 2023 | — | volatile |
| 3 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 3 | Panama | 0 1000 t | 2023 | down 100.0% | flat |
| 3 | Philippines | 0 1000 t | 2023 | — | flat |
| 3 | Poland | 0 1000 t | 2023 | — | volatile |
| 3 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Russia | 0 1000 t | 2023 | down 100.0% | flat |
| 3 | Senegal | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 3 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 3 | Sweden | 0 1000 t | 2023 | — | volatile |
| 3 | Seychelles | 0 1000 t | 2023 | — | flat |
| 3 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 3 | Turkey | 0 1000 t | 2023 | — | volatile |
| 3 | Tuvalu | 0 1000 t | 2023 | — | volatile |
| 3 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 3 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Vietnam | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 3 | Samoa | 0 1000 t | 2023 | up 100.0% | flat |
| 3 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Polynesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Russian Federation | 0 1000 t | 2023 | down 100.0% | flat |
| 3 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 3 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 3 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 3 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 3 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 147 | Estonia | -1 1000 t | 2023 | unchanged | volatile |
| 147 | Lithuania | -1 1000 t | 2023 | down 150.0% | volatile |
| 147 | South Africa | -1 1000 t | 2023 | — | volatile |
| 147 | China, Macao SAR | -1 1000 t | 2023 | — | volatile |
| 151 | Chile | -2 1000 t | 2023 | up 85.7% | volatile |
| 151 | Greece | -2 1000 t | 2023 | — | volatile |
| 151 | Tunisia | -2 1000 t | 2023 | — | volatile |
| 154 | Kenya | -4 1000 t | 2023 | — | volatile |
| 155 | Belarus | -8 1000 t | 2023 | — | volatile |
| 155 | Namibia | -8 1000 t | 2023 | up 11.1% | volatile |
| 155 | Cabo Verde | -8 1000 t | 2023 | down 166.7% | volatile |
| 158 | Ecuador | -10 1000 t | 2023 | down 11.1% | volatile |
| 158 | Papua New Guinea | -10 1000 t | 2023 | — | volatile |
| 158 | United States | -10 1000 t | 2023 | down 126.3% | volatile |
| 158 | Melanesia | -10 1000 t | 2023 | up 73.0% | volatile |
| 162 | France | -11 1000 t | 2023 | — | volatile |
| 162 | Cambodia | -11 1000 t | 2019 | — | flat |
| 164 | Thailand | -24 1000 t | 2023 | up 40.0% | volatile |
| 165 | Iceland | -27 1000 t | 2023 | down 800.0% | volatile |
| 165 | Sri Lanka | -27 1000 t | 2023 | — | volatile |
| 167 | United Arab Emirates | -30 1000 t | 2023 | down 200.0% | volatile |
| 168 | China, Taiwan Province of | -40 1000 t | 2023 | down 900.0% | volatile |
| 169 | China | -41 1000 t | 2023 | down 355.6% | volatile |
| 169 | Germany | -41 1000 t | 2023 | down 10.8% | volatile |
| 171 | Denmark | -42 1000 t | 2023 | up 17.6% | volatile |
| 172 | Republic of Korea | -50 1000 t | 2023 | — | volatile |
| 173 | Netherlands (Kingdom of the) | -100 1000 t | 2023 | down 534.8% | volatile |
| 174 | Mauritania | -206 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South America 91 1000 t
- Americas 80 1000 t
- Central Asia 0 1000 t
- Central America 0 1000 t
- Middle Africa 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Northern Africa -2 1000 t
- Southern Europe -2 1000 t
- Eastern Africa -4 1000 t
- Eastern Europe -8 1000 t
- Oceania -10 1000 t
- Northern America -10 1000 t
- Southern Africa -10 1000 t
- United States of America -10 1000 t
- Small island developing States (SIDS) -18 1000 t
- South-Eastern Asia -24 1000 t
- Southern Asia -27 1000 t
- Western Asia -30 1000 t
- Northern Europe -64 1000 t
- Eastern Asia -91 1000 t
- Net Food Importing Developing Countries (NFIDCs) -145 1000 t
- Western Europe -152 1000 t
- Asia -172 1000 t
- European Union (27) -191 1000 t
- Least Developed Countries (LDCs) -207 1000 t
- Low Income Food Deficit Countries (LIFDCs) -210 1000 t
- Western Africa -214 1000 t
- Europe -226 1000 t
- Africa -229 1000 t
- World -557 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.