Crustaceans — Food 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 — Food is currently reported for 180 countries. The highest value is 9,279 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 3 1000 t, and the mean is 137.26 1000 t.
Over the past decade 69 countries rose and 32 fell. The largest increase was in Romania (up 350.0%), and the largest decrease in Angola (down 100.0%).
Crustaceans — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 9,279 1000 t | 2023 | up 67.6% | rising |
| 2 | China, mainland | 9,079 1000 t | 2023 | up 69.9% | rising |
| 3 | Indonesia | 953 1000 t | 2023 | up 33.3% | rising |
| 4 | India | 695 1000 t | 2023 | up 58.0% | rising |
| 5 | Viet Nam | 625 1000 t | 2023 | up 257.1% | rising |
| 6 | Mexico | 290 1000 t | 2023 | up 55.9% | rising |
| 7 | France | 226 1000 t | 2023 | down 4.2% | falling |
| 8 | Bangladesh | 223 1000 t | 2023 | up 26.7% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 214 1000 t | 2023 | down 10.5% | falling |
| 10 | Thailand | 176 1000 t | 2023 | up 109.5% | rising |
| 11 | Republic of Korea | 172 1000 t | 2023 | up 2.4% | rising |
| 12 | Spain | 170 1000 t | 2023 | up 1.8% | falling |
| 13 | Malaysia | 167 1000 t | 2023 | up 6.4% | flat |
| 14 | Russian Federation | 155 1000 t | 2023 | up 46.2% | rising |
| 15 | Philippines | 148 1000 t | 2023 | up 24.4% | rising |
| 16 | Canada | 137 1000 t | 2023 | down 19.4% | falling |
| 17 | Brazil | 132 1000 t | 2023 | up 28.2% | flat |
| 17 | Italy | 132 1000 t | 2023 | up 10.0% | flat |
| 19 | Australia and New Zealand | 113 1000 t | 2023 | up 3.7% | falling |
| 20 | China, Hong Kong SAR | 101 1000 t | 2023 | up 29.5% | rising |
| 21 | Australia | 98 1000 t | 2023 | down 1.0% | falling |
| 22 | China, Taiwan Province of | 91 1000 t | 2023 | down 17.3% | falling |
| 23 | Germany | 79 1000 t | 2023 | up 16.2% | falling |
| 24 | Sweden | 74 1000 t | 2023 | down 7.5% | flat |
| 25 | Argentina | 62 1000 t | 2023 | up 342.9% | volatile |
| 26 | Chile | 58 1000 t | 2023 | up 61.1% | rising |
| 27 | Saudi Arabia | 56 1000 t | 2023 | up 166.7% | rising |
| 28 | Norway | 55 1000 t | 2023 | unchanged | rising |
| 29 | Egypt | 54 1000 t | 2023 | up 50.0% | flat |
| 29 | Ukraine | 54 1000 t | 2023 | up 134.8% | volatile |
| 31 | Nigeria | 52 1000 t | 2023 | up 188.9% | rising |
| 32 | Cameroon | 43 1000 t | 2023 | up 53.6% | rising |
| 32 | Portugal | 43 1000 t | 2023 | up 115.0% | rising |
| 34 | Peru | 40 1000 t | 2023 | up 300.0% | rising |
| 35 | Denmark | 39 1000 t | 2023 | up 30.0% | rising |
| 36 | Iran (Islamic Republic of) | 34 1000 t | 2023 | up 209.1% | rising |
| 37 | Ecuador | 33 1000 t | 2023 | down 42.1% | falling |
| 38 | Sri Lanka | 29 1000 t | 2023 | up 52.6% | rising |
| 39 | Netherlands (Kingdom of the) | 27 1000 t | 2023 | down 41.3% | falling |
| 40 | Caribbean | 26 1000 t | 2023 | up 36.8% | rising |
| 41 | Greece | 24 1000 t | 2023 | up 71.4% | rising |
| 42 | Switzerland | 21 1000 t | 2023 | unchanged | falling |
| 43 | Belgium | 19 1000 t | 2023 | down 17.4% | falling |
| 43 | Mozambique | 19 1000 t | 2023 | up 171.4% | rising |
| 45 | Cambodia | 18 1000 t | 2023 | up 12.5% | rising |
| 45 | Venezuela (Bolivarian Republic of) | 18 1000 t | 2023 | up 5.9% | falling |
| 47 | Austria | 17 1000 t | 2023 | up 88.9% | rising |
| 47 | Democratic People's Republic of Korea | 17 1000 t | 2018 | down 15.0% | falling |
| 49 | New Zealand | 16 1000 t | 2023 | up 60.0% | rising |
| 50 | Colombia | 15 1000 t | 2023 | up 66.7% | rising |
| 50 | Guatemala | 15 1000 t | 2023 | up 150.0% | rising |
| 52 | Dominican Republic | 11 1000 t | 2023 | up 175.0% | rising |
| 52 | Poland | 11 1000 t | 2023 | up 266.7% | rising |
| 54 | Finland | 10 1000 t | 2023 | down 16.7% | falling |
| 54 | Guyana | 10 1000 t | 2023 | unchanged | rising |
| 54 | Kuwait | 10 1000 t | 2023 | up 66.7% | rising |
| 54 | Madagascar | 10 1000 t | 2023 | down 33.3% | rising |
| 54 | Qatar | 10 1000 t | 2023 | — | flat |
| 59 | Romania | 9 1000 t | 2023 | up 350.0% | volatile |
| 60 | United Arab Emirates | 8 1000 t | 2023 | up 33.3% | rising |
| 60 | Israel | 8 1000 t | 2023 | up 60.0% | rising |
| 60 | Oman | 8 1000 t | 2023 | up 60.0% | rising |
| 60 | China, Macao SAR | 8 1000 t | 2023 | up 33.3% | rising |
| 64 | Lithuania | 7 1000 t | 2023 | up 250.0% | rising |
| 64 | Pakistan | 7 1000 t | 2023 | down 41.7% | rising |
| 66 | United Republic of Tanzania | 6 1000 t | 2023 | up 100.0% | rising |
| 67 | Costa Rica | 5 1000 t | 2023 | down 16.7% | falling |
| 67 | Iceland | 5 1000 t | 2023 | unchanged | falling |
| 67 | Türkiye | 5 1000 t | 2023 | up 25.0% | rising |
| 70 | Albania | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Bahamas | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Czechia | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Croatia | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Ireland | 4 1000 t | 2023 | down 50.0% | volatile |
| 70 | Jamaica | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Kazakhstan | 4 1000 t | 2023 | up 300.0% | volatile |
| 70 | Mauritius | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Panama | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Senegal | 4 1000 t | 2023 | up 33.3% | volatile |
| 80 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 80 | Cuba | 3 1000 t | 2019 | — | rising |
| 80 | Cyprus | 3 1000 t | 2023 | unchanged | falling |
| 80 | Algeria | 3 1000 t | 2023 | down 40.0% | falling |
| 80 | Estonia | 3 1000 t | 2023 | up 50.0% | rising |
| 80 | Iraq | 3 1000 t | 2023 | up 200.0% | volatile |
| 80 | Lebanon | 3 1000 t | 2023 | down 40.0% | falling |
| 80 | Luxembourg | 3 1000 t | 2023 | unchanged | flat |
| 80 | Latvia | 3 1000 t | 2023 | unchanged | volatile |
| 80 | Morocco | 3 1000 t | 2023 | down 83.3% | volatile |
| 80 | Myanmar | 3 1000 t | 2023 | down 25.0% | falling |
| 80 | Nicaragua | 3 1000 t | 2023 | up 200.0% | volatile |
| 80 | El Salvador | 3 1000 t | 2023 | up 50.0% | falling |
| 80 | Trinidad and Tobago | 3 1000 t | 2023 | unchanged | flat |
| 80 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 95 | Belarus | 2 1000 t | 2023 | unchanged | rising |
| 95 | Hungary | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Jordan | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Maldives | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Suriname | 2 1000 t | 2023 | unchanged | flat |
| 95 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Tunisia | 2 1000 t | 2023 | down 50.0% | falling |
| 95 | Melanesia | 2 1000 t | 2023 | down 33.3% | falling |
| 95 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Armenia | 1 1000 t | 2023 | — | volatile |
| 104 | Antigua and Barbuda | 1 1000 t | 2023 | — | rising |
| 104 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 104 | Bulgaria | 1 1000 t | 2023 | down 50.0% | volatile |
| 104 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 104 | Congo | 1 1000 t | 2023 | unchanged | falling |
| 104 | Fiji | 1 1000 t | 2023 | unchanged | flat |
| 104 | Ghana | 1 1000 t | 2023 | down 66.7% | volatile |
| 104 | Gambia | 1 1000 t | 2023 | down 50.0% | falling |
| 104 | Honduras | 1 1000 t | 2023 | down 66.7% | volatile |
| 104 | Kenya | 1 1000 t | 2023 | unchanged | volatile |
| 104 | Libya | 1 1000 t | 2023 | unchanged | flat |
| 104 | Malta | 1 1000 t | 2023 | unchanged | flat |
| 104 | Namibia | 1 1000 t | 2023 | unchanged | rising |
| 104 | French Polynesia | 1 1000 t | 2023 | unchanged | falling |
| 104 | Sierra Leone | 1 1000 t | 2023 | unchanged | flat |
| 104 | Serbia | 1 1000 t | 2023 | — | volatile |
| 104 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 104 | Seychelles | 1 1000 t | 2023 | unchanged | volatile |
| 104 | Vanuatu | 1 1000 t | 2023 | unchanged | flat |
| 104 | Polynesia | 1 1000 t | 2023 | unchanged | falling |
| 104 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 126 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Bahrain | 0 1000 t | 2023 | — | flat |
| 126 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 126 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Bhutan | 0 1000 t | 2023 | — | flat |
| 126 | Botswana | 0 1000 t | 2023 | — | flat |
| 126 | Comoros | 0 1000 t | 2023 | — | flat |
| 126 | Djibouti | 0 1000 t | 2023 | — | flat |
| 126 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 126 | Gabon | 0 1000 t | 2023 | — | flat |
| 126 | Georgia | 0 1000 t | 2023 | — | flat |
| 126 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 126 | Grenada | 0 1000 t | 2023 | — | flat |
| 126 | Haiti | 0 1000 t | 2023 | — | volatile |
| 126 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 126 | Kiribati | 0 1000 t | 2023 | — | flat |
| 126 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 126 | Liberia | 0 1000 t | 2023 | — | flat |
| 126 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 126 | Lesotho | 0 1000 t | 2023 | — | flat |
| 126 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 126 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 126 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 126 | Mongolia | 0 1000 t | 2023 | — | flat |
| 126 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Malawi | 0 1000 t | 2023 | — | flat |
| 126 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 126 | Niger | 0 1000 t | 2023 | — | flat |
| 126 | Nepal | 0 1000 t | 2023 | — | flat |
| 126 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Paraguay | 0 1000 t | 2023 | — | flat |
| 126 | Rwanda | 0 1000 t | 2023 | — | flat |
| 126 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 126 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 126 | Eswatini | 0 1000 t | 2023 | — | flat |
| 126 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 126 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 126 | Tonga | 0 1000 t | 2023 | — | flat |
| 126 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 126 | Uganda | 0 1000 t | 2023 | — | flat |
| 126 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 126 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 126 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Yemen | 0 1000 t | 2023 | — | volatile |
| 126 | Zambia | 0 1000 t | 2023 | — | flat |
| 126 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 126 | Micronesia | 0 1000 t | 2023 | — | flat |
| 126 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 126 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 126 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 126 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 126 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 126 | Micronesia (Federated States of) | 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 18,146 1000 t
- Asia 13,464 1000 t
- Eastern Asia 10,258 1000 t
- Americas 2,898 1000 t
- Northern America 2,180 1000 t
- South-eastern Asia 2,094 1000 t
- United States of America 2,042 1000 t
- Europe 1,429 1000 t
- Southern Asia 990 1000 t
- European Union (27) 918 1000 t
- Net Food Importing Developing Countries (NFIDCs) 491 1000 t
- Northern Europe 414 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.