Marine Fish, Other — 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
Marine Fish, Other — Export quantity is currently reported for 170 countries. The highest value is 1,312 1000 t in Viet Nam; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 28.67 1000 t.
Over the past decade 24 countries rose and 34 fell. The largest increase was in Iran (Islamic Republic of) (up 1,200.0%), and the largest decrease in Costa Rica (down 100.0%).
Marine Fish, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 1,312 1000 t | 2023 | up 38.0% | rising |
| 2 | China | 937 1000 t | 2023 | down 51.8% | falling |
| 3 | China, mainland | 827 1000 t | 2023 | down 52.2% | falling |
| 4 | Myanmar | 589 1000 t | 2023 | up 39.2% | rising |
| 5 | Thailand | 415 1000 t | 2023 | down 10.8% | rising |
| 6 | Indonesia | 189 1000 t | 2023 | down 16.4% | falling |
| 7 | Malaysia | 98 1000 t | 2023 | up 92.2% | rising |
| 8 | China, Hong Kong SAR | 70 1000 t | 2023 | down 59.3% | falling |
| 9 | Mexico | 47 1000 t | 2023 | up 62.1% | rising |
| 10 | China, Taiwan Province of | 40 1000 t | 2023 | down 7.0% | rising |
| 11 | Mauritania | 33 1000 t | 2023 | up 450.0% | volatile |
| 12 | Belarus | 29 1000 t | 2023 | up 81.2% | rising |
| 13 | United Arab Emirates | 20 1000 t | 2023 | up 400.0% | volatile |
| 13 | Brazil | 20 1000 t | 2023 | up 185.7% | rising |
| 15 | Spain | 18 1000 t | 2023 | up 12.5% | volatile |
| 16 | Guyana | 15 1000 t | 2023 | up 7.1% | rising |
| 16 | Madagascar | 15 1000 t | 2023 | up 7.1% | falling |
| 18 | Portugal | 14 1000 t | 2023 | down 46.2% | falling |
| 19 | Iran (Islamic Republic of) | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 20 | Philippines | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 21 | Suriname | 11 1000 t | 2023 | down 31.2% | falling |
| 22 | Germany | 10 1000 t | 2023 | down 9.1% | falling |
| 22 | India | 10 1000 t | 2023 | down 87.8% | volatile |
| 24 | Belgium | 8 1000 t | 2023 | down 11.1% | falling |
| 24 | Bangladesh | 8 1000 t | 2023 | down 11.1% | falling |
| 24 | France | 8 1000 t | 2023 | down 11.1% | falling |
| 24 | Italy | 8 1000 t | 2023 | unchanged | falling |
| 24 | Democratic People's Republic of Korea | 8 1000 t | 2018 | down 38.5% | falling |
| 29 | Australia | 6 1000 t | 2023 | up 200.0% | rising |
| 29 | Australia and New Zealand | 6 1000 t | 2023 | up 200.0% | rising |
| 31 | Greece | 5 1000 t | 2023 | up 25.0% | falling |
| 31 | Saudi Arabia | 5 1000 t | 2023 | — | volatile |
| 31 | Sweden | 5 1000 t | 2023 | up 25.0% | falling |
| 34 | Panama | 4 1000 t | 2023 | — | volatile |
| 34 | El Salvador | 4 1000 t | 2023 | up 300.0% | volatile |
| 34 | Trinidad and Tobago | 4 1000 t | 2023 | up 300.0% | rising |
| 34 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 34 | Republic of Korea | 4 1000 t | 2023 | down 33.3% | falling |
| 39 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 39 | Cambodia | 3 1000 t | 2023 | unchanged | falling |
| 39 | Mozambique | 3 1000 t | 2023 | down 72.7% | volatile |
| 39 | Rwanda | 3 1000 t | 2023 | — | volatile |
| 39 | Seychelles | 3 1000 t | 2023 | — | volatile |
| 44 | Canada | 2 1000 t | 2023 | down 60.0% | volatile |
| 44 | Egypt | 2 1000 t | 2023 | — | volatile |
| 44 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 44 | Morocco | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Mauritius | 2 1000 t | 2023 | — | volatile |
| 44 | Peru | 2 1000 t | 2023 | — | volatile |
| 44 | Romania | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Melanesia | 2 1000 t | 2023 | down 75.0% | volatile |
| 44 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | volatile |
| 53 | Austria | 1 1000 t | 2023 | down 50.0% | falling |
| 53 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 53 | Honduras | 1 1000 t | 2023 | — | volatile |
| 53 | Kenya | 1 1000 t | 2023 | unchanged | rising |
| 53 | Sri Lanka | 1 1000 t | 2023 | — | volatile |
| 53 | Oman | 1 1000 t | 2023 | — | volatile |
| 53 | Uruguay | 1 1000 t | 2017 | unchanged | falling |
| 53 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 53 | Samoa | 1 1000 t | 2023 | down 66.7% | volatile |
| 53 | Polynesia | 1 1000 t | 2023 | down 75.0% | volatile |
| 63 | Angola | 0 1000 t | 2020 | — | flat |
| 63 | Albania | 0 1000 t | 2023 | — | volatile |
| 63 | Armenia | 0 1000 t | 2023 | — | flat |
| 63 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 63 | Azerbaijan | 0 1000 t | 2019 | — | flat |
| 63 | Burkina Faso | 0 1000 t | 2019 | — | flat |
| 63 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 63 | Bahrain | 0 1000 t | 2023 | — | flat |
| 63 | Bahamas | 0 1000 t | 2023 | — | flat |
| 63 | Belize | 0 1000 t | 2023 | — | flat |
| 63 | Barbados | 0 1000 t | 2023 | — | flat |
| 63 | Botswana | 0 1000 t | 2023 | — | flat |
| 63 | Switzerland | 0 1000 t | 2023 | — | flat |
| 63 | Chile | 0 1000 t | 2023 | — | flat |
| 63 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 63 | Congo | 0 1000 t | 2023 | — | flat |
| 63 | Colombia | 0 1000 t | 2023 | — | volatile |
| 63 | Comoros | 0 1000 t | 2015 | — | flat |
| 63 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 63 | Cyprus | 0 1000 t | 2023 | — | flat |
| 63 | Djibouti | 0 1000 t | 2023 | — | flat |
| 63 | Denmark | 0 1000 t | 2023 | — | flat |
| 63 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Ecuador | 0 1000 t | 2023 | — | flat |
| 63 | Estonia | 0 1000 t | 2023 | — | flat |
| 63 | Ethiopia | 0 1000 t | 2017 | — | flat |
| 63 | Finland | 0 1000 t | 2023 | — | flat |
| 63 | Fiji | 0 1000 t | 2023 | — | volatile |
| 63 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Georgia | 0 1000 t | 2023 | — | volatile |
| 63 | Ghana | 0 1000 t | 2023 | — | volatile |
| 63 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Guinea-Bissau | 0 1000 t | 2017 | down 100.0% | falling |
| 63 | Grenada | 0 1000 t | 2023 | — | flat |
| 63 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Croatia | 0 1000 t | 2017 | — | flat |
| 63 | Haiti | 0 1000 t | 2023 | — | flat |
| 63 | Hungary | 0 1000 t | 2023 | — | flat |
| 63 | Ireland | 0 1000 t | 2023 | — | flat |
| 63 | Iraq | 0 1000 t | 2023 | — | flat |
| 63 | Iceland | 0 1000 t | 2023 | — | flat |
| 63 | Israel | 0 1000 t | 2023 | — | volatile |
| 63 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 63 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Kyrgyzstan | 0 1000 t | 2017 | — | flat |
| 63 | Kiribati | 0 1000 t | 2023 | — | flat |
| 63 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 63 | Kuwait | 0 1000 t | 2023 | — | flat |
| 63 | Lebanon | 0 1000 t | 2023 | — | flat |
| 63 | Liberia | 0 1000 t | 2023 | — | flat |
| 63 | Libya | 0 1000 t | 2023 | — | flat |
| 63 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 63 | Lesotho | 0 1000 t | 2017 | — | flat |
| 63 | Lithuania | 0 1000 t | 2023 | — | flat |
| 63 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 63 | Latvia | 0 1000 t | 2023 | — | volatile |
| 63 | Maldives | 0 1000 t | 2023 | — | volatile |
| 63 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 63 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 63 | Malta | 0 1000 t | 2023 | — | flat |
| 63 | Montenegro | 0 1000 t | 2023 | — | flat |
| 63 | Mongolia | 0 1000 t | 2023 | — | flat |
| 63 | Malawi | 0 1000 t | 2023 | — | flat |
| 63 | Namibia | 0 1000 t | 2023 | — | volatile |
| 63 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 63 | Niger | 0 1000 t | 2023 | — | flat |
| 63 | Nigeria | 0 1000 t | 2020 | — | flat |
| 63 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 63 | Norway | 0 1000 t | 2023 | — | flat |
| 63 | Nepal | 0 1000 t | 2023 | — | flat |
| 63 | New Zealand | 0 1000 t | 2023 | — | flat |
| 63 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Poland | 0 1000 t | 2023 | — | flat |
| 63 | Paraguay | 0 1000 t | 2017 | — | flat |
| 63 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 63 | Qatar | 0 1000 t | 2023 | — | flat |
| 63 | Senegal | 0 1000 t | 2017 | — | flat |
| 63 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Serbia | 0 1000 t | 2023 | — | flat |
| 63 | Sao Tome and Principe | 0 1000 t | 2019 | — | flat |
| 63 | Slovakia | 0 1000 t | 2023 | — | flat |
| 63 | Slovenia | 0 1000 t | 2023 | — | flat |
| 63 | Eswatini | 0 1000 t | 2023 | — | flat |
| 63 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 63 | Tonga | 0 1000 t | 2023 | — | flat |
| 63 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 63 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 63 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 63 | Zambia | 0 1000 t | 2023 | — | flat |
| 63 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 63 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 63 | Timor-Leste | 0 1000 t | 2017 | — | flat |
| 63 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 63 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 63 | Bolivia (Plurinational State of) | 0 1000 t | 2017 | — | flat |
| 63 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 63 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 63 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 63 | Türkiye | 0 1000 t | 2023 | — | flat |
| 63 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 63 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 63 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 63 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 63 | 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 4,000 1000 t
- Asia 3,689 1000 t
- South-eastern Asia 2,618 1000 t
- Eastern Asia 1,009 1000 t
- Net Food Importing Developing Countries (NFIDCs) 690 1000 t
- Least Developed Countries (LDCs) 667 1000 t
- Europe 112 1000 t
- Americas 110 1000 t
- European Union (27) 81 1000 t
- Africa 80 1000 t
- Low Income Food Deficit Countries (LIFDCs) 68 1000 t
- Central America 56 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.