Aquatic Products, 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
Aquatic Products, Other — Export quantity is currently reported for 137 countries. The highest value is 210 1000 t in Indonesia; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 4.43 1000 t.
Over the past decade 11 countries rose and 11 fell. The largest increase was in Norway (up 300.0%), and the largest decrease in India (down 100.0%).
Aquatic Products, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 210 1000 t | 2023 | up 18.6% | rising |
| 2 | Republic of Korea | 87 1000 t | 2023 | up 74.0% | rising |
| 3 | Ireland | 70 1000 t | 2023 | up 84.2% | rising |
| 4 | Chile | 61 1000 t | 2023 | down 27.4% | falling |
| 5 | Peru | 44 1000 t | 2023 | up 46.7% | rising |
| 6 | China | 28 1000 t | 2023 | down 9.7% | falling |
| 7 | China, mainland | 27 1000 t | 2023 | down 10.0% | falling |
| 8 | United Republic of Tanzania | 11 1000 t | 2023 | down 8.3% | falling |
| 9 | Philippines | 10 1000 t | 2023 | down 73.0% | falling |
| 10 | France | 9 1000 t | 2023 | up 200.0% | rising |
| 11 | Canada | 7 1000 t | 2023 | up 16.7% | rising |
| 12 | Spain | 5 1000 t | 2023 | up 150.0% | rising |
| 12 | Viet Nam | 5 1000 t | 2023 | — | volatile |
| 14 | Iceland | 4 1000 t | 2023 | unchanged | rising |
| 14 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 16 | Morocco | 3 1000 t | 2023 | down 40.0% | falling |
| 16 | Madagascar | 3 1000 t | 2023 | up 200.0% | rising |
| 16 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 19 | Brazil | 2 1000 t | 2023 | — | volatile |
| 19 | Germany | 2 1000 t | 2023 | up 100.0% | rising |
| 21 | Australia | 1 1000 t | 2023 | unchanged | falling |
| 21 | Belgium | 1 1000 t | 2023 | unchanged | volatile |
| 21 | Denmark | 1 1000 t | 2023 | unchanged | volatile |
| 21 | Italy | 1 1000 t | 2023 | unchanged | rising |
| 21 | Mexico | 1 1000 t | 2023 | unchanged | rising |
| 21 | Malaysia | 1 1000 t | 2023 | unchanged | rising |
| 21 | Portugal | 1 1000 t | 2023 | unchanged | volatile |
| 21 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 21 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 21 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 21 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 21 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | flat |
| 33 | Angola | 0 1000 t | 2023 | — | flat |
| 33 | Albania | 0 1000 t | 2023 | — | flat |
| 33 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 33 | Argentina | 0 1000 t | 2019 | — | flat |
| 33 | Armenia | 0 1000 t | 2023 | — | flat |
| 33 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 33 | Austria | 0 1000 t | 2023 | — | flat |
| 33 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 33 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 33 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 33 | Bahrain | 0 1000 t | 2023 | — | flat |
| 33 | Bosnia and Herzegovina | 0 1000 t | 2017 | — | flat |
| 33 | Belarus | 0 1000 t | 2023 | — | flat |
| 33 | Belize | 0 1000 t | 2023 | — | flat |
| 33 | Barbados | 0 1000 t | 2019 | — | flat |
| 33 | Switzerland | 0 1000 t | 2023 | — | flat |
| 33 | Cameroon | 0 1000 t | 2016 | — | flat |
| 33 | Colombia | 0 1000 t | 2023 | — | flat |
| 33 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 33 | Cuba | 0 1000 t | 2019 | — | flat |
| 33 | Cyprus | 0 1000 t | 2023 | — | flat |
| 33 | Czechia | 0 1000 t | 2023 | — | flat |
| 33 | Djibouti | 0 1000 t | 2017 | — | flat |
| 33 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 33 | Algeria | 0 1000 t | 2023 | — | flat |
| 33 | Ecuador | 0 1000 t | 2023 | — | flat |
| 33 | Egypt | 0 1000 t | 2019 | — | flat |
| 33 | Estonia | 0 1000 t | 2023 | — | flat |
| 33 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 33 | Finland | 0 1000 t | 2023 | — | flat |
| 33 | Fiji | 0 1000 t | 2019 | — | flat |
| 33 | Georgia | 0 1000 t | 2023 | — | flat |
| 33 | Ghana | 0 1000 t | 2023 | — | flat |
| 33 | Greece | 0 1000 t | 2023 | — | flat |
| 33 | Grenada | 0 1000 t | 2023 | — | flat |
| 33 | Guatemala | 0 1000 t | 2023 | — | flat |
| 33 | Honduras | 0 1000 t | 2023 | — | flat |
| 33 | Croatia | 0 1000 t | 2023 | — | flat |
| 33 | Haiti | 0 1000 t | 2023 | — | flat |
| 33 | Hungary | 0 1000 t | 2023 | — | flat |
| 33 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Jamaica | 0 1000 t | 2023 | — | flat |
| 33 | Jordan | 0 1000 t | 2023 | — | flat |
| 33 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 33 | Kenya | 0 1000 t | 2023 | — | flat |
| 33 | Kyrgyzstan | 0 1000 t | 2017 | — | flat |
| 33 | Cambodia | 0 1000 t | 2023 | — | flat |
| 33 | Kiribati | 0 1000 t | 2018 | — | flat |
| 33 | Kuwait | 0 1000 t | 2023 | — | flat |
| 33 | Lebanon | 0 1000 t | 2023 | — | flat |
| 33 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 33 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 33 | Lithuania | 0 1000 t | 2023 | — | flat |
| 33 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 33 | Latvia | 0 1000 t | 2023 | — | flat |
| 33 | North Macedonia | 0 1000 t | 2020 | — | flat |
| 33 | Malta | 0 1000 t | 2023 | — | flat |
| 33 | Mozambique | 0 1000 t | 2023 | — | flat |
| 33 | Mauritania | 0 1000 t | 2017 | — | flat |
| 33 | Mauritius | 0 1000 t | 2023 | — | flat |
| 33 | Namibia | 0 1000 t | 2023 | — | flat |
| 33 | Niger | 0 1000 t | 2020 | — | flat |
| 33 | Nigeria | 0 1000 t | 2020 | — | flat |
| 33 | New Zealand | 0 1000 t | 2023 | — | flat |
| 33 | Oman | 0 1000 t | 2023 | — | flat |
| 33 | Pakistan | 0 1000 t | 2023 | — | flat |
| 33 | Panama | 0 1000 t | 2018 | — | flat |
| 33 | Papua New Guinea | 0 1000 t | 2017 | — | flat |
| 33 | Poland | 0 1000 t | 2023 | — | flat |
| 33 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 33 | Romania | 0 1000 t | 2023 | — | flat |
| 33 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 33 | Senegal | 0 1000 t | 2019 | — | flat |
| 33 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Serbia | 0 1000 t | 2023 | — | flat |
| 33 | Slovakia | 0 1000 t | 2023 | — | flat |
| 33 | Slovenia | 0 1000 t | 2023 | — | flat |
| 33 | Sweden | 0 1000 t | 2023 | — | flat |
| 33 | Eswatini | 0 1000 t | 2015 | — | flat |
| 33 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Tonga | 0 1000 t | 2023 | — | flat |
| 33 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 33 | Tunisia | 0 1000 t | 2023 | — | flat |
| 33 | Uganda | 0 1000 t | 2023 | — | flat |
| 33 | Ukraine | 0 1000 t | 2023 | — | flat |
| 33 | Uruguay | 0 1000 t | 2023 | — | flat |
| 33 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 33 | Samoa | 0 1000 t | 2017 | — | flat |
| 33 | Yemen | 0 1000 t | 2023 | — | flat |
| 33 | Micronesia | 0 1000 t | 2018 | — | flat |
| 33 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 33 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Polynesia | 0 1000 t | 2023 | — | flat |
| 33 | Democratic Republic of the Congo | 0 1000 t | 2014 | — | flat |
| 33 | Caribbean | 0 1000 t | 2023 | — | flat |
| 33 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 33 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 33 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 33 | Syrian Arab Republic | 0 1000 t | 2020 | — | flat |
| 33 | Türkiye | 0 1000 t | 2023 | — | flat |
| 33 | Côte d'Ivoire | 0 1000 t | 2019 | — | flat |
| 33 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 33 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 33 | 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 585 1000 t
- Asia 345 1000 t
- South-eastern Asia 227 1000 t
- Americas 117 1000 t
- Eastern Asia 117 1000 t
- South America 107 1000 t
- Europe 103 1000 t
- European Union (27) 91 1000 t
- Northern Europe 82 1000 t
- Net Food Importing Developing Countries (NFIDCs) 61 1000 t
- Africa 19 1000 t
- Least Developed Countries (LDCs) 14 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.