Cephalopods — Domestic supply 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
Cephalopods — Domestic supply quantity is currently reported for 177 countries. The highest value is 1,082 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 0 1000 t, and the mean is 25.04 1000 t.
Over the past decade 39 countries rose and 27 fell. The largest increase was in Morocco (up 800.0%), and the largest decrease in Gabon (down 100.0%).
Cephalopods — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,082 1000 t | 2023 | down 3.4% | falling |
| 2 | China, mainland | 1,006 1000 t | 2023 | up 3.4% | falling |
| 3 | Republic of Korea | 377 1000 t | 2023 | up 7.7% | flat |
| 4 | Viet Nam | 307 1000 t | 2023 | up 49.0% | rising |
| 5 | Thailand | 245 1000 t | 2023 | up 24.4% | rising |
| 6 | Italy | 224 1000 t | 2023 | up 21.7% | rising |
| 7 | Spain | 151 1000 t | 2023 | up 0.7% | flat |
| 8 | Russian Federation | 111 1000 t | 2023 | up 20.7% | rising |
| 9 | Malaysia | 86 1000 t | 2023 | up 14.7% | rising |
| 10 | Philippines | 85 1000 t | 2023 | up 7.6% | rising |
| 11 | Indonesia | 83 1000 t | 2023 | down 8.8% | falling |
| 12 | France | 56 1000 t | 2023 | up 80.6% | rising |
| 13 | Mexico | 55 1000 t | 2023 | up 12.2% | rising |
| 14 | China, Taiwan Province of | 49 1000 t | 2023 | down 61.1% | falling |
| 15 | Portugal | 44 1000 t | 2023 | up 83.3% | rising |
| 16 | Peru | 41 1000 t | 2023 | up 28.1% | rising |
| 17 | Australia and New Zealand | 39 1000 t | 2023 | up 21.9% | rising |
| 18 | Greece | 33 1000 t | 2023 | up 10.0% | rising |
| 19 | Australia | 30 1000 t | 2023 | up 7.1% | rising |
| 20 | China, Hong Kong SAR | 26 1000 t | 2023 | up 36.8% | rising |
| 21 | Germany | 22 1000 t | 2023 | up 22.2% | rising |
| 22 | Canada | 21 1000 t | 2023 | up 31.2% | rising |
| 23 | Chile | 20 1000 t | 2023 | down 62.3% | volatile |
| 24 | Morocco | 18 1000 t | 2023 | up 800.0% | volatile |
| 25 | United Kingdom of Great Britain and Northern Ireland | 15 1000 t | 2023 | down 21.1% | rising |
| 26 | Argentina | 13 1000 t | 2023 | down 79.4% | volatile |
| 27 | Croatia | 11 1000 t | 2023 | up 37.5% | rising |
| 28 | Democratic People's Republic of Korea | 10 1000 t | 2018 | unchanged | volatile |
| 29 | Egypt | 9 1000 t | 2023 | down 30.8% | falling |
| 29 | Madagascar | 9 1000 t | 2023 | up 800.0% | volatile |
| 29 | New Zealand | 9 1000 t | 2023 | up 200.0% | rising |
| 29 | Pakistan | 9 1000 t | 2023 | up 50.0% | rising |
| 29 | Ukraine | 9 1000 t | 2023 | — | volatile |
| 34 | Brazil | 8 1000 t | 2023 | down 11.1% | rising |
| 35 | United Arab Emirates | 7 1000 t | 2023 | up 133.3% | volatile |
| 35 | Colombia | 7 1000 t | 2023 | up 75.0% | rising |
| 35 | Panama | 7 1000 t | 2023 | down 22.2% | rising |
| 38 | India | 5 1000 t | 2023 | — | volatile |
| 38 | Cambodia | 5 1000 t | 2023 | down 37.5% | falling |
| 38 | Sri Lanka | 5 1000 t | 2023 | up 400.0% | volatile |
| 38 | United Republic of Tanzania | 5 1000 t | 2023 | up 400.0% | volatile |
| 42 | Belgium | 4 1000 t | 2023 | up 33.3% | rising |
| 42 | Switzerland | 4 1000 t | 2023 | up 33.3% | rising |
| 42 | Cyprus | 4 1000 t | 2023 | up 100.0% | rising |
| 42 | Slovenia | 4 1000 t | 2023 | up 33.3% | rising |
| 42 | Tunisia | 4 1000 t | 2023 | down 33.3% | rising |
| 47 | Albania | 3 1000 t | 2023 | up 200.0% | rising |
| 47 | Netherlands (Kingdom of the) | 3 1000 t | 2023 | down 40.0% | falling |
| 50 | Austria | 2 1000 t | 2023 | unchanged | rising |
| 50 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 50 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 50 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 50 | Guinea | 2 1000 t | 2023 | down 71.4% | volatile |
| 50 | Iceland | 2 1000 t | 2023 | down 33.3% | falling |
| 50 | Libya | 2 1000 t | 2023 | unchanged | falling |
| 50 | Mozambique | 2 1000 t | 2023 | unchanged | rising |
| 50 | Mauritius | 2 1000 t | 2023 | unchanged | rising |
| 50 | Oman | 2 1000 t | 2023 | — | volatile |
| 50 | Romania | 2 1000 t | 2023 | up 100.0% | volatile |
| 50 | Saudi Arabia | 2 1000 t | 2023 | unchanged | falling |
| 50 | Serbia | 2 1000 t | 2023 | unchanged | flat |
| 50 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 50 | Türkiye | 2 1000 t | 2023 | down 60.0% | falling |
| 50 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 66 | Angola | 1 1000 t | 2023 | down 50.0% | volatile |
| 66 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Belarus | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Czechia | 1 1000 t | 2023 | — | volatile |
| 66 | Algeria | 1 1000 t | 2023 | down 50.0% | volatile |
| 66 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 66 | Ireland | 1 1000 t | 2023 | — | volatile |
| 66 | Israel | 1 1000 t | 2023 | unchanged | rising |
| 66 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 66 | Lithuania | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 66 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 66 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 66 | Namibia | 1 1000 t | 2023 | down 50.0% | volatile |
| 66 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 66 | Poland | 1 1000 t | 2023 | — | volatile |
| 66 | Senegal | 1 1000 t | 2023 | — | volatile |
| 66 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 66 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 66.7% | volatile |
| 66 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 87.5% | volatile |
| 86 | Armenia | 0 1000 t | 2023 | — | flat |
| 86 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 86 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 86 | Burkina Faso | 0 1000 t | 2017 | — | flat |
| 86 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 86 | Bahrain | 0 1000 t | 2023 | — | flat |
| 86 | Bahamas | 0 1000 t | 2023 | — | flat |
| 86 | Belize | 0 1000 t | 2023 | — | flat |
| 86 | Barbados | 0 1000 t | 2023 | — | flat |
| 86 | Botswana | 0 1000 t | 2023 | — | flat |
| 86 | Cameroon | 0 1000 t | 2023 | — | flat |
| 86 | Congo | 0 1000 t | 2023 | — | flat |
| 86 | Comoros | 0 1000 t | 2016 | — | flat |
| 86 | Cuba | 0 1000 t | 2019 | — | volatile |
| 86 | Djibouti | 0 1000 t | 2023 | — | flat |
| 86 | Denmark | 0 1000 t | 2023 | — | volatile |
| 86 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 86 | Estonia | 0 1000 t | 2023 | — | volatile |
| 86 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 86 | Finland | 0 1000 t | 2023 | — | flat |
| 86 | Fiji | 0 1000 t | 2023 | — | flat |
| 86 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Georgia | 0 1000 t | 2023 | — | flat |
| 86 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Gambia | 0 1000 t | 2023 | — | volatile |
| 86 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 86 | Grenada | 0 1000 t | 2023 | — | flat |
| 86 | Guyana | 0 1000 t | 2023 | — | flat |
| 86 | Honduras | 0 1000 t | 2023 | — | flat |
| 86 | Haiti | 0 1000 t | 2023 | — | flat |
| 86 | Hungary | 0 1000 t | 2023 | — | volatile |
| 86 | Iraq | 0 1000 t | 2023 | — | flat |
| 86 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 86 | Jordan | 0 1000 t | 2023 | — | flat |
| 86 | Kenya | 0 1000 t | 2023 | — | volatile |
| 86 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 86 | Kiribati | 0 1000 t | 2023 | — | flat |
| 86 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 86 | Kuwait | 0 1000 t | 2023 | — | flat |
| 86 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Liberia | 0 1000 t | 2023 | — | flat |
| 86 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 86 | Lesotho | 0 1000 t | 2023 | — | flat |
| 86 | Latvia | 0 1000 t | 2023 | — | flat |
| 86 | Maldives | 0 1000 t | 2023 | — | volatile |
| 86 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 86 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 86 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Myanmar | 0 1000 t | 2023 | — | flat |
| 86 | Mongolia | 0 1000 t | 2023 | — | flat |
| 86 | Malawi | 0 1000 t | 2023 | — | flat |
| 86 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 86 | Niger | 0 1000 t | 2023 | — | flat |
| 86 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 86 | Norway | 0 1000 t | 2023 | — | flat |
| 86 | Nepal | 0 1000 t | 2023 | — | flat |
| 86 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 86 | Paraguay | 0 1000 t | 2023 | — | flat |
| 86 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 86 | Qatar | 0 1000 t | 2023 | — | flat |
| 86 | Rwanda | 0 1000 t | 2023 | — | flat |
| 86 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 86 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 86 | El Salvador | 0 1000 t | 2023 | — | flat |
| 86 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 86 | Suriname | 0 1000 t | 2018 | — | flat |
| 86 | Slovakia | 0 1000 t | 2023 | — | flat |
| 86 | Eswatini | 0 1000 t | 2023 | — | flat |
| 86 | Seychelles | 0 1000 t | 2023 | — | flat |
| 86 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 86 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 86 | Tonga | 0 1000 t | 2023 | — | flat |
| 86 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 86 | Uganda | 0 1000 t | 2023 | — | flat |
| 86 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 86 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 86 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Samoa | 0 1000 t | 2023 | — | flat |
| 86 | Yemen | 0 1000 t | 2023 | — | volatile |
| 86 | Zambia | 0 1000 t | 2023 | — | flat |
| 86 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 86 | Micronesia | 0 1000 t | 2023 | — | flat |
| 86 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 86 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 86 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Polynesia | 0 1000 t | 2023 | — | flat |
| 86 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 86 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 86 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 86 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 86 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 86 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 86 | 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 3,835 1000 t
- Asia 2,666 1000 t
- Eastern Asia 1,812 1000 t
- South-Eastern Asia 811 1000 t
- Europe 714 1000 t
- European Union (27) 570 1000 t
- Southern Europe 473 1000 t
- Americas 349 1000 t
- Northern America 189 1000 t
- United States of America 168 1000 t
- Eastern Europe 128 1000 t
- Net Food Importing Developing Countries (NFIDCs) 123 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.