Pelagic Fish — Export quantity 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 — Export quantity is currently reported for 178 countries. The highest value is 5,191 1000 t in Peru; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 5.5 1000 t, and the mean is 149.04 1000 t.
Over the past decade 67 countries rose and 42 fell. The largest increase was in Polynesia (up 1,500.0%), and the largest decrease in Cyprus (down 100.0%).
Pelagic Fish — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Peru | 5,191 1000 t | 2023 | up 37.4% | flat |
| 2 | China | 1,783 1000 t | 2023 | up 23.3% | rising |
| 3 | China, mainland | 1,208 1000 t | 2023 | up 34.1% | rising |
| 4 | Thailand | 1,189 1000 t | 2023 | down 14.8% | falling |
| 5 | Chile | 1,118 1000 t | 2023 | down 8.6% | falling |
| 6 | Norway | 995 1000 t | 2023 | up 11.7% | falling |
| 7 | Denmark | 877 1000 t | 2023 | up 4.4% | falling |
| 8 | Russian Federation | 858 1000 t | 2023 | up 25.3% | rising |
| 9 | Spain | 857 1000 t | 2023 | up 25.8% | rising |
| 10 | Mauritania | 731 1000 t | 2023 | up 149.5% | rising |
| 11 | Germany | 723 1000 t | 2023 | down 38.7% | falling |
| 12 | Morocco | 711 1000 t | 2023 | up 21.1% | rising |
| 13 | Ecuador | 679 1000 t | 2023 | up 47.9% | rising |
| 14 | Netherlands (Kingdom of the) | 598 1000 t | 2023 | up 33.2% | rising |
| 15 | China, Taiwan Province of | 570 1000 t | 2023 | up 5.6% | rising |
| 16 | India | 469 1000 t | 2023 | up 141.8% | rising |
| 17 | Mexico | 433 1000 t | 2023 | down 31.2% | flat |
| 18 | United Kingdom of Great Britain and Northern Ireland | 430 1000 t | 2023 | down 2.5% | falling |
| 19 | Republic of Korea | 408 1000 t | 2023 | up 1.7% | falling |
| 20 | Indonesia | 363 1000 t | 2023 | down 0.3% | rising |
| 21 | Micronesia | 348 1000 t | 2023 | up 435.4% | volatile |
| 22 | Oman | 330 1000 t | 2023 | up 262.6% | volatile |
| 23 | Namibia | 300 1000 t | 2023 | down 12.3% | rising |
| 24 | Philippines | 288 1000 t | 2023 | down 20.2% | rising |
| 25 | Melanesia | 283 1000 t | 2023 | up 8.8% | rising |
| 26 | Senegal | 263 1000 t | 2023 | up 94.8% | rising |
| 27 | Iceland | 243 1000 t | 2023 | down 67.8% | falling |
| 28 | France | 219 1000 t | 2023 | up 12.3% | rising |
| 29 | Poland | 208 1000 t | 2023 | up 4.0% | falling |
| 30 | Sweden | 197 1000 t | 2023 | up 32.2% | rising |
| 31 | Malaysia | 186 1000 t | 2023 | up 12.0% | rising |
| 31 | Portugal | 186 1000 t | 2023 | up 11.4% | rising |
| 31 | Seychelles | 186 1000 t | 2023 | up 45.3% | rising |
| 34 | Papua New Guinea | 172 1000 t | 2023 | up 65.4% | rising |
| 35 | Viet Nam | 155 1000 t | 2023 | up 131.3% | rising |
| 36 | Kiribati | 154 1000 t | 2023 | up 136.9% | rising |
| 36 | Mauritius | 154 1000 t | 2023 | down 3.8% | flat |
| 38 | Panama | 151 1000 t | 2023 | up 14.4% | rising |
| 39 | Micronesia (Federated States of) | 146 1000 t | 2023 | — | rising |
| 40 | Brazil | 139 1000 t | 2023 | up 531.8% | volatile |
| 41 | Canada | 131 1000 t | 2023 | down 10.3% | falling |
| 42 | Ireland | 121 1000 t | 2023 | up 9.0% | flat |
| 43 | Latvia | 118 1000 t | 2023 | down 22.9% | falling |
| 44 | Italy | 83 1000 t | 2023 | up 2.5% | flat |
| 45 | Estonia | 81 1000 t | 2023 | up 11.0% | flat |
| 46 | Maldives | 79 1000 t | 2023 | up 49.1% | rising |
| 47 | Croatia | 67 1000 t | 2023 | up 63.4% | rising |
| 47 | Australia and New Zealand | 67 1000 t | 2023 | down 17.3% | falling |
| 49 | Belarus | 66 1000 t | 2023 | up 127.6% | rising |
| 50 | Finland | 64 1000 t | 2023 | up 28.0% | rising |
| 51 | Ghana | 62 1000 t | 2023 | up 82.4% | rising |
| 52 | Georgia | 60 1000 t | 2023 | up 566.7% | volatile |
| 53 | Lithuania | 59 1000 t | 2023 | down 11.9% | flat |
| 54 | Yemen | 57 1000 t | 2023 | down 43.0% | falling |
| 55 | New Zealand | 53 1000 t | 2023 | down 19.7% | falling |
| 56 | Marshall Islands | 48 1000 t | 2023 | — | falling |
| 57 | United Arab Emirates | 47 1000 t | 2023 | up 95.8% | rising |
| 58 | Pakistan | 46 1000 t | 2023 | down 31.3% | falling |
| 59 | Türkiye | 40 1000 t | 2023 | up 166.7% | volatile |
| 60 | Solomon Islands | 37 1000 t | 2023 | up 85.0% | rising |
| 60 | Vanuatu | 37 1000 t | 2023 | up 5.7% | flat |
| 62 | Fiji | 36 1000 t | 2023 | down 64.0% | falling |
| 63 | El Salvador | 34 1000 t | 2023 | down 12.8% | flat |
| 64 | Iran (Islamic Republic of) | 30 1000 t | 2023 | up 30.4% | falling |
| 64 | Côte d'Ivoire | 30 1000 t | 2023 | down 57.1% | falling |
| 66 | United Republic of Tanzania | 29 1000 t | 2023 | down 23.7% | falling |
| 67 | Guatemala | 27 1000 t | 2023 | up 50.0% | falling |
| 68 | Sri Lanka | 25 1000 t | 2023 | up 38.9% | rising |
| 69 | Colombia | 24 1000 t | 2023 | down 54.7% | falling |
| 69 | Guinea-Bissau | 24 1000 t | 2023 | up 700.0% | volatile |
| 71 | Belgium | 21 1000 t | 2023 | up 5.0% | falling |
| 71 | Costa Rica | 21 1000 t | 2023 | up 23.5% | rising |
| 71 | Cabo Verde | 21 1000 t | 2023 | up 10.5% | flat |
| 74 | Malta | 19 1000 t | 2023 | up 171.4% | rising |
| 75 | Tunisia | 18 1000 t | 2023 | up 5.9% | flat |
| 76 | Kenya | 16 1000 t | 2023 | up 128.6% | rising |
| 76 | Polynesia | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 78 | Rwanda | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 79 | Angola | 14 1000 t | 2023 | up 75.0% | volatile |
| 79 | Australia | 14 1000 t | 2023 | down 6.7% | falling |
| 81 | Albania | 13 1000 t | 2023 | up 62.5% | rising |
| 82 | Slovenia | 12 1000 t | 2023 | up 71.4% | rising |
| 82 | Tuvalu | 12 1000 t | 2023 | — | rising |
| 84 | Ukraine | 10 1000 t | 2023 | down 85.3% | volatile |
| 85 | Bulgaria | 8 1000 t | 2023 | down 11.1% | volatile |
| 85 | Czechia | 8 1000 t | 2023 | unchanged | rising |
| 87 | Greece | 7 1000 t | 2023 | down 12.5% | falling |
| 87 | Saudi Arabia | 7 1000 t | 2023 | down 22.2% | falling |
| 89 | Zimbabwe | 6 1000 t | 2023 | — | volatile |
| 90 | Bahrain | 5 1000 t | 2023 | — | flat |
| 90 | Myanmar | 5 1000 t | 2023 | up 150.0% | volatile |
| 90 | Zambia | 5 1000 t | 2023 | unchanged | volatile |
| 90 | China, Hong Kong SAR | 5 1000 t | 2023 | unchanged | volatile |
| 94 | Argentina | 4 1000 t | 2023 | down 73.3% | volatile |
| 94 | Austria | 4 1000 t | 2023 | down 63.6% | falling |
| 94 | Hungary | 4 1000 t | 2023 | up 100.0% | rising |
| 94 | Suriname | 4 1000 t | 2023 | up 300.0% | volatile |
| 94 | Caribbean | 4 1000 t | 2023 | down 42.9% | volatile |
| 99 | Bosnia and Herzegovina | 3 1000 t | 2023 | — | volatile |
| 99 | Congo | 3 1000 t | 2023 | — | volatile |
| 99 | Libya | 3 1000 t | 2023 | up 200.0% | volatile |
| 99 | Nicaragua | 3 1000 t | 2023 | up 50.0% | rising |
| 99 | Slovakia | 3 1000 t | 2023 | up 200.0% | rising |
| 99 | Uganda | 3 1000 t | 2023 | up 200.0% | volatile |
| 105 | Botswana | 2 1000 t | 2023 | up 100.0% | volatile |
| 105 | Dominican Republic | 2 1000 t | 2023 | down 60.0% | falling |
| 105 | Algeria | 2 1000 t | 2023 | — | volatile |
| 105 | Israel | 2 1000 t | 2023 | up 100.0% | volatile |
| 105 | Kazakhstan | 2 1000 t | 2023 | down 66.7% | volatile |
| 105 | French Polynesia | 2 1000 t | 2023 | up 100.0% | rising |
| 105 | Romania | 2 1000 t | 2023 | down 50.0% | falling |
| 105 | Sierra Leone | 2 1000 t | 2023 | down 50.0% | falling |
| 105 | Samoa | 2 1000 t | 2023 | — | volatile |
| 105 | Democratic People's Republic of Korea | 2 1000 t | 2018 | — | volatile |
| 115 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 115 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 115 | Cameroon | 1 1000 t | 2023 | down 66.7% | falling |
| 115 | Egypt | 1 1000 t | 2023 | down 50.0% | falling |
| 115 | Gabon | 1 1000 t | 2023 | — | volatile |
| 115 | Guinea | 1 1000 t | 2023 | down 83.3% | volatile |
| 115 | Grenada | 1 1000 t | 2023 | unchanged | volatile |
| 115 | Guyana | 1 1000 t | 2023 | — | volatile |
| 115 | Liberia | 1 1000 t | 2023 | — | volatile |
| 115 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 115 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 115 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | falling |
| 127 | Armenia | 0 1000 t | 2023 | — | flat |
| 127 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 127 | Burkina Faso | 0 1000 t | 2017 | — | volatile |
| 127 | Bahamas | 0 1000 t | 2023 | — | flat |
| 127 | Belize | 0 1000 t | 2023 | — | volatile |
| 127 | Barbados | 0 1000 t | 2023 | — | flat |
| 127 | Switzerland | 0 1000 t | 2023 | — | flat |
| 127 | Comoros | 0 1000 t | 2020 | — | flat |
| 127 | Cuba | 0 1000 t | 2017 | — | flat |
| 127 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 127 | Ethiopia | 0 1000 t | 2020 | — | flat |
| 127 | Gambia | 0 1000 t | 2023 | — | volatile |
| 127 | Honduras | 0 1000 t | 2023 | — | volatile |
| 127 | Haiti | 0 1000 t | 2023 | — | flat |
| 127 | Iraq | 0 1000 t | 2023 | — | flat |
| 127 | Jamaica | 0 1000 t | 2023 | — | flat |
| 127 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Kyrgyzstan | 0 1000 t | 2019 | — | flat |
| 127 | Cambodia | 0 1000 t | 2016 | — | flat |
| 127 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 127 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 127 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 127 | Lesotho | 0 1000 t | 2023 | — | flat |
| 127 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 127 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 127 | Montenegro | 0 1000 t | 2023 | — | flat |
| 127 | Mongolia | 0 1000 t | 2023 | — | flat |
| 127 | Malawi | 0 1000 t | 2023 | — | flat |
| 127 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Niger | 0 1000 t | 2020 | — | volatile |
| 127 | Nigeria | 0 1000 t | 2019 | — | volatile |
| 127 | Nepal | 0 1000 t | 2018 | — | flat |
| 127 | Paraguay | 0 1000 t | 2017 | — | flat |
| 127 | Qatar | 0 1000 t | 2023 | — | flat |
| 127 | Sao Tome and Principe | 0 1000 t | 2019 | — | flat |
| 127 | Eswatini | 0 1000 t | 2019 | — | flat |
| 127 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 127 | Tonga | 0 1000 t | 2023 | — | flat |
| 127 | Uruguay | 0 1000 t | 2023 | — | flat |
| 127 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 127 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 127 | Timor-Leste | 0 1000 t | 2017 | — | flat |
| 127 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 127 | Bolivia (Plurinational State of) | 0 1000 t | 2017 | — | flat |
| 127 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 127 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 127 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 127 | Lao People's Democratic Republic | 0 1000 t | 2016 | — | flat |
| 127 | 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 25,287 1000 t
- Americas 8,576 1000 t
- Net Food Importing Developing Countries (NFIDCs) 7,970 1000 t
- Europe 7,165 1000 t
- South America 7,160 1000 t
- Asia 5,959 1000 t
- European Union (27) 4,546 1000 t
- Northern Europe 3,185 1000 t
- Africa 2,873 1000 t
- Eastern Asia 2,572 1000 t
- South-eastern Asia 2,185 1000 t
- Western Europe 1,565 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.