Pelagic Fish — 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
Pelagic Fish — Stock Variation is currently reported for 121 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 -3.26 1000 t.
Over the past decade 18 countries rose and 18 fell. The largest increase was in Costa Rica (up 100.0%), and the largest decrease in China (down 900.0%).
Pelagic Fish — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Peru | 103 1000 t | 2023 | down 90.2% | volatile |
| 2 | Angola | 0 1000 t | 2023 | — | volatile |
| 2 | Albania | 0 1000 t | 2023 | — | volatile |
| 2 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 2 | Argentina | 0 1000 t | 2023 | — | flat |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 2 | Australia | 0 1000 t | 2023 | — | flat |
| 2 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 2 | Belgium | 0 1000 t | 2023 | — | flat |
| 2 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 2 | Bahrain | 0 1000 t | 2023 | — | flat |
| 2 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 2 | Belize | 0 1000 t | 2023 | — | flat |
| 2 | Botswana | 0 1000 t | 2023 | — | flat |
| 2 | Canada | 0 1000 t | 2023 | — | flat |
| 2 | Switzerland | 0 1000 t | 2023 | — | flat |
| 2 | Colombia | 0 1000 t | 2023 | — | flat |
| 2 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Cyprus | 0 1000 t | 2023 | — | flat |
| 2 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Ecuador | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Estonia | 0 1000 t | 2023 | — | volatile |
| 2 | Finland | 0 1000 t | 2023 | — | flat |
| 2 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Gabon | 0 1000 t | 2023 | — | flat |
| 2 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Guinea | 0 1000 t | 2019 | — | flat |
| 2 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 2 | Greece | 0 1000 t | 2023 | — | flat |
| 2 | Grenada | 0 1000 t | 2023 | — | flat |
| 2 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 2 | Guyana | 0 1000 t | 2023 | — | flat |
| 2 | Honduras | 0 1000 t | 2023 | — | flat |
| 2 | Croatia | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Hungary | 0 1000 t | 2023 | — | flat |
| 2 | Indonesia | 0 1000 t | 2023 | — | flat |
| 2 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Ireland | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Israel | 0 1000 t | 2023 | — | flat |
| 2 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 2 | Kiribati | 0 1000 t | 2023 | — | flat |
| 2 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 2 | Kuwait | 0 1000 t | 2023 | — | flat |
| 2 | Libya | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 2 | Lesotho | 0 1000 t | 2023 | — | flat |
| 2 | Lithuania | 0 1000 t | 2023 | — | flat |
| 2 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 2 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Morocco | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | Maldives | 0 1000 t | 2023 | — | flat |
| 2 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | North Macedonia | 0 1000 t | 2018 | — | flat |
| 2 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Myanmar | 0 1000 t | 2023 | — | flat |
| 2 | Mongolia | 0 1000 t | 2023 | — | flat |
| 2 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 2 | Malaysia | 0 1000 t | 2023 | — | flat |
| 2 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 2 | Norway | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | New Zealand | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Oman | 0 1000 t | 2023 | — | volatile |
| 2 | Pakistan | 0 1000 t | 2023 | — | flat |
| 2 | Panama | 0 1000 t | 2023 | — | flat |
| 2 | Philippines | 0 1000 t | 2023 | — | flat |
| 2 | Poland | 0 1000 t | 2023 | — | volatile |
| 2 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Qatar | 0 1000 t | 2023 | — | flat |
| 2 | Senegal | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 2 | El Salvador | 0 1000 t | 2023 | — | flat |
| 2 | Suriname | 0 1000 t | 2023 | — | flat |
| 2 | Slovenia | 0 1000 t | 2023 | — | flat |
| 2 | Sweden | 0 1000 t | 2023 | — | volatile |
| 2 | Eswatini | 0 1000 t | 2023 | — | flat |
| 2 | Seychelles | 0 1000 t | 2023 | — | flat |
| 2 | Thailand | 0 1000 t | 2023 | — | flat |
| 2 | Tonga | 0 1000 t | 2023 | — | flat |
| 2 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 2 | Tuvalu | 0 1000 t | 2023 | — | volatile |
| 2 | Uganda | 0 1000 t | 2023 | — | flat |
| 2 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 2 | Uruguay | 0 1000 t | 2023 | — | flat |
| 2 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 2 | Samoa | 0 1000 t | 2023 | up 100.0% | flat |
| 2 | Yemen | 0 1000 t | 2023 | — | volatile |
| 2 | Zambia | 0 1000 t | 2023 | — | flat |
| 2 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 2 | Micronesia | 0 1000 t | 2023 | — | flat |
| 2 | Polynesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 2 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 2 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 2 | Russian Federation | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 2 | Türkiye | 0 1000 t | 2023 | — | flat |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | flat |
| 2 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 107 | Chile | -2 1000 t | 2023 | — | volatile |
| 108 | Kenya | -4 1000 t | 2023 | — | volatile |
| 109 | Belarus | -8 1000 t | 2023 | — | volatile |
| 109 | Namibia | -8 1000 t | 2023 | up 20.0% | volatile |
| 109 | Cabo Verde | -8 1000 t | 2023 | down 166.7% | volatile |
| 112 | Papua New Guinea | -10 1000 t | 2023 | — | volatile |
| 112 | Melanesia | -10 1000 t | 2023 | up 73.0% | volatile |
| 114 | France | -11 1000 t | 2023 | — | volatile |
| 115 | Iceland | -27 1000 t | 2023 | down 800.0% | volatile |
| 115 | Sri Lanka | -27 1000 t | 2023 | — | volatile |
| 117 | China | -40 1000 t | 2023 | down 900.0% | volatile |
| 117 | China, Taiwan Province of | -40 1000 t | 2023 | down 900.0% | volatile |
| 119 | Germany | -41 1000 t | 2023 | down 156.2% | volatile |
| 120 | Netherlands (Kingdom of the) | -55 1000 t | 2023 | down 339.1% | volatile |
| 121 | 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 101 1000 t
- Americas 91 1000 t
- South Africa 0 1000 t
- Central Asia 0 1000 t
- Northern Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- South-eastern Asia 0 1000 t
- Western Asia 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Eastern 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.