Crustaceans — 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
Crustaceans — Export quantity is currently reported for 166 countries. The highest value is 811 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 41.04 1000 t.
Over the past decade 42 countries rose and 31 fell. The largest increase was in United Arab Emirates (up 606.2%), and the largest decrease in Armenia (down 100.0%).
Crustaceans — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 811 1000 t | 2023 | up 105.3% | rising |
| 2 | Ecuador | 697 1000 t | 2023 | up 173.3% | rising |
| 3 | China | 684 1000 t | 2023 | down 38.2% | falling |
| 4 | China, mainland | 660 1000 t | 2023 | down 35.1% | falling |
| 5 | Viet Nam | 611 1000 t | 2023 | up 20.5% | rising |
| 6 | Indonesia | 490 1000 t | 2023 | up 59.6% | rising |
| 7 | Thailand | 308 1000 t | 2023 | down 19.8% | falling |
| 8 | Canada | 292 1000 t | 2023 | down 5.8% | falling |
| 9 | Netherlands (Kingdom of the) | 178 1000 t | 2023 | up 76.2% | rising |
| 10 | Argentina | 167 1000 t | 2023 | up 77.7% | rising |
| 11 | Denmark | 158 1000 t | 2023 | down 16.8% | falling |
| 12 | Myanmar | 155 1000 t | 2023 | up 44.9% | rising |
| 13 | Republic of Korea | 144 1000 t | 2023 | up 44.0% | rising |
| 14 | United Arab Emirates | 113 1000 t | 2023 | up 606.2% | volatile |
| 15 | Malaysia | 96 1000 t | 2023 | up 18.5% | flat |
| 16 | Belgium | 93 1000 t | 2023 | down 11.4% | falling |
| 17 | Russian Federation | 89 1000 t | 2023 | up 117.1% | rising |
| 18 | Spain | 77 1000 t | 2023 | up 37.5% | rising |
| 18 | United Kingdom of Great Britain and Northern Ireland | 77 1000 t | 2023 | down 18.1% | falling |
| 20 | Norway | 70 1000 t | 2023 | up 159.3% | rising |
| 21 | Mexico | 52 1000 t | 2023 | up 85.7% | rising |
| 22 | Morocco | 50 1000 t | 2023 | up 108.3% | rising |
| 23 | Bangladesh | 41 1000 t | 2023 | down 21.2% | falling |
| 24 | Germany | 39 1000 t | 2023 | up 5.4% | rising |
| 25 | France | 38 1000 t | 2023 | up 11.8% | rising |
| 26 | Honduras | 37 1000 t | 2023 | down 9.8% | rising |
| 27 | Peru | 36 1000 t | 2023 | up 89.5% | rising |
| 27 | Iran (Islamic Republic of) | 36 1000 t | 2023 | up 200.0% | volatile |
| 29 | Venezuela (Bolivarian Republic of) | 35 1000 t | 2023 | up 191.7% | rising |
| 30 | Nicaragua | 31 1000 t | 2023 | unchanged | rising |
| 31 | Philippines | 30 1000 t | 2023 | down 3.2% | falling |
| 32 | Saudi Arabia | 27 1000 t | 2023 | up 440.0% | volatile |
| 33 | Chile | 26 1000 t | 2023 | up 13.0% | rising |
| 34 | Iceland | 22 1000 t | 2023 | down 15.4% | falling |
| 35 | Ireland | 21 1000 t | 2023 | up 10.5% | rising |
| 35 | Pakistan | 21 1000 t | 2023 | down 4.5% | falling |
| 37 | Portugal | 15 1000 t | 2023 | up 25.0% | rising |
| 38 | Sweden | 14 1000 t | 2023 | up 55.6% | rising |
| 38 | Australia and New Zealand | 14 1000 t | 2023 | down 30.0% | falling |
| 40 | China, Taiwan Province of | 13 1000 t | 2023 | up 225.0% | volatile |
| 41 | Albania | 12 1000 t | 2023 | — | volatile |
| 41 | Bahrain | 12 1000 t | 2023 | — | flat |
| 41 | Caribbean | 12 1000 t | 2023 | unchanged | flat |
| 44 | Estonia | 11 1000 t | 2023 | up 37.5% | falling |
| 44 | Guatemala | 11 1000 t | 2023 | down 8.3% | flat |
| 44 | Madagascar | 11 1000 t | 2023 | up 37.5% | rising |
| 44 | China, Hong Kong SAR | 11 1000 t | 2023 | down 87.1% | volatile |
| 48 | Australia | 10 1000 t | 2023 | down 28.6% | falling |
| 49 | Sri Lanka | 9 1000 t | 2023 | up 80.0% | rising |
| 50 | Bulgaria | 8 1000 t | 2023 | — | volatile |
| 50 | Cuba | 8 1000 t | 2019 | down 11.1% | rising |
| 50 | Egypt | 8 1000 t | 2023 | up 166.7% | volatile |
| 50 | Tunisia | 8 1000 t | 2023 | up 166.7% | rising |
| 50 | Democratic People's Republic of Korea | 8 1000 t | 2017 | up 300.0% | volatile |
| 55 | Angola | 6 1000 t | 2023 | up 200.0% | volatile |
| 55 | Guyana | 6 1000 t | 2023 | down 60.0% | falling |
| 55 | Italy | 6 1000 t | 2023 | up 20.0% | rising |
| 55 | Mozambique | 6 1000 t | 2023 | up 50.0% | rising |
| 59 | Colombia | 5 1000 t | 2023 | up 25.0% | volatile |
| 59 | Greece | 5 1000 t | 2023 | up 25.0% | rising |
| 59 | New Zealand | 5 1000 t | 2023 | down 16.7% | rising |
| 59 | Panama | 5 1000 t | 2023 | down 44.4% | falling |
| 59 | Senegal | 5 1000 t | 2023 | unchanged | rising |
| 64 | Bahamas | 4 1000 t | 2023 | down 20.0% | falling |
| 64 | Brazil | 4 1000 t | 2023 | down 82.6% | volatile |
| 64 | Namibia | 4 1000 t | 2023 | — | rising |
| 64 | Nigeria | 4 1000 t | 2023 | down 77.8% | volatile |
| 68 | Belarus | 3 1000 t | 2023 | down 40.0% | falling |
| 68 | Mauritania | 3 1000 t | 2023 | up 200.0% | rising |
| 68 | Poland | 3 1000 t | 2023 | down 57.1% | volatile |
| 68 | Suriname | 3 1000 t | 2023 | down 25.0% | falling |
| 68 | Melanesia | 3 1000 t | 2023 | up 50.0% | rising |
| 68 | Türkiye | 3 1000 t | 2023 | up 50.0% | falling |
| 74 | Czechia | 2 1000 t | 2023 | up 100.0% | volatile |
| 74 | Lithuania | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Papua New Guinea | 2 1000 t | 2023 | — | volatile |
| 77 | Austria | 1 1000 t | 2023 | down 50.0% | falling |
| 77 | Belize | 1 1000 t | 2023 | down 85.7% | volatile |
| 77 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 77 | Gambia | 1 1000 t | 2023 | — | volatile |
| 77 | Croatia | 1 1000 t | 2023 | — | volatile |
| 77 | Jamaica | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Kenya | 1 1000 t | 2023 | — | volatile |
| 77 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 77 | New Caledonia | 1 1000 t | 2023 | unchanged | falling |
| 77 | Oman | 1 1000 t | 2023 | — | volatile |
| 77 | Romania | 1 1000 t | 2023 | — | volatile |
| 77 | Sierra Leone | 1 1000 t | 2023 | unchanged | flat |
| 77 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 77 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 77 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 77 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | rising |
| 94 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 94 | Azerbaijan | 0 1000 t | 2017 | — | flat |
| 94 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 94 | Barbados | 0 1000 t | 2023 | — | flat |
| 94 | Botswana | 0 1000 t | 2023 | — | flat |
| 94 | Switzerland | 0 1000 t | 2023 | — | flat |
| 94 | Cameroon | 0 1000 t | 2023 | — | flat |
| 94 | Congo | 0 1000 t | 2023 | — | flat |
| 94 | Comoros | 0 1000 t | 2023 | — | flat |
| 94 | Cyprus | 0 1000 t | 2023 | — | flat |
| 94 | Djibouti | 0 1000 t | 2023 | — | flat |
| 94 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Algeria | 0 1000 t | 2023 | — | volatile |
| 94 | Finland | 0 1000 t | 2023 | — | volatile |
| 94 | Fiji | 0 1000 t | 2023 | — | flat |
| 94 | Gabon | 0 1000 t | 2019 | — | flat |
| 94 | Georgia | 0 1000 t | 2023 | — | flat |
| 94 | Ghana | 0 1000 t | 2023 | — | volatile |
| 94 | Guinea | 0 1000 t | 2023 | — | flat |
| 94 | Guinea-Bissau | 0 1000 t | 2020 | — | flat |
| 94 | Grenada | 0 1000 t | 2023 | — | flat |
| 94 | Haiti | 0 1000 t | 2023 | — | flat |
| 94 | Hungary | 0 1000 t | 2023 | — | flat |
| 94 | Israel | 0 1000 t | 2023 | — | flat |
| 94 | Jordan | 0 1000 t | 2019 | — | flat |
| 94 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 94 | Kyrgyzstan | 0 1000 t | 2017 | — | flat |
| 94 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 94 | Kiribati | 0 1000 t | 2023 | — | flat |
| 94 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 94 | Kuwait | 0 1000 t | 2023 | — | flat |
| 94 | Lebanon | 0 1000 t | 2023 | — | flat |
| 94 | Liberia | 0 1000 t | 2023 | — | flat |
| 94 | Libya | 0 1000 t | 2023 | — | flat |
| 94 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 94 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 94 | Maldives | 0 1000 t | 2023 | — | flat |
| 94 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 94 | Malta | 0 1000 t | 2023 | — | flat |
| 94 | Montenegro | 0 1000 t | 2023 | — | flat |
| 94 | Mongolia | 0 1000 t | 2023 | — | flat |
| 94 | Mauritius | 0 1000 t | 2023 | — | flat |
| 94 | Malawi | 0 1000 t | 2017 | — | flat |
| 94 | Niger | 0 1000 t | 2016 | — | flat |
| 94 | French Polynesia | 0 1000 t | 2019 | — | flat |
| 94 | Qatar | 0 1000 t | 2023 | — | flat |
| 94 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 94 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 94 | Serbia | 0 1000 t | 2023 | — | flat |
| 94 | Sao Tome and Principe | 0 1000 t | 2018 | — | flat |
| 94 | Slovakia | 0 1000 t | 2023 | — | flat |
| 94 | Eswatini | 0 1000 t | 2019 | — | flat |
| 94 | Seychelles | 0 1000 t | 2023 | — | flat |
| 94 | Turkmenistan | 0 1000 t | 2017 | — | flat |
| 94 | Tonga | 0 1000 t | 2023 | — | flat |
| 94 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 94 | Uganda | 0 1000 t | 2023 | — | flat |
| 94 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 94 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 94 | Samoa | 0 1000 t | 2023 | — | flat |
| 94 | Zambia | 0 1000 t | 2023 | — | flat |
| 94 | Zimbabwe | 0 1000 t | 2017 | — | flat |
| 94 | Micronesia | 0 1000 t | 2023 | — | flat |
| 94 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 94 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 94 | Polynesia | 0 1000 t | 2023 | — | flat |
| 94 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 94 | Republic of Moldova | 0 1000 t | 2016 | — | flat |
| 94 | Syrian Arab Republic | 0 1000 t | 2018 | — | flat |
| 94 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 94 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 94 | 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 6,216 1000 t
- Asia 3,604 1000 t
- South-eastern Asia 1,689 1000 t
- Americas 1,531 1000 t
- South America 979 1000 t
- Europe 948 1000 t
- Southern Asia 918 1000 t
- Eastern Asia 838 1000 t
- European Union (27) 674 1000 t
- Net Food Importing Developing Countries (NFIDCs) 448 1000 t
- Northern America 402 1000 t
- Northern Europe 375 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.