Cephalopods — Import 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 — Import quantity is currently reported for 94 countries. The highest value is 631 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 3 1000 t, and the mean is 34.7 1000 t.
Over the past decade 41 countries rose and 15 fell. The largest increase was in Ecuador (up 500.0%), and the largest decrease in Lebanon (down 100.0%).
Cephalopods — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 631 1000 t | 2023 | up 31.5% | rising |
| 2 | China, mainland | 557 1000 t | 2023 | up 38.9% | rising |
| 3 | Spain | 356 1000 t | 2023 | up 57.5% | rising |
| 4 | Republic of Korea | 259 1000 t | 2023 | up 78.6% | rising |
| 5 | Italy | 219 1000 t | 2023 | up 24.4% | rising |
| 6 | Thailand | 201 1000 t | 2023 | up 31.4% | rising |
| 7 | United States | 169 1000 t | 2023 | up 85.7% | rising |
| 8 | Malaysia | 70 1000 t | 2023 | up 141.4% | rising |
| 9 | France | 59 1000 t | 2023 | up 90.3% | rising |
| 10 | Portugal | 57 1000 t | 2023 | up 39.0% | rising |
| 11 | Russia | 50 1000 t | 2023 | up 194.1% | rising |
| 11 | Russian Federation | 50 1000 t | 2023 | up 194.1% | rising |
| 11 | China, Taiwan Province of | 50 1000 t | 2023 | up 85.2% | rising |
| 14 | Philippines | 47 1000 t | 2023 | up 123.8% | rising |
| 15 | Vietnam | 40 1000 t | 2023 | up 400.0% | volatile |
| 15 | Viet Nam | 40 1000 t | 2023 | up 400.0% | volatile |
| 17 | Greece | 35 1000 t | 2023 | up 29.6% | rising |
| 18 | Australia and New Zealand | 33 1000 t | 2023 | up 17.9% | rising |
| 19 | Australia | 29 1000 t | 2023 | up 16.0% | rising |
| 20 | Germany | 25 1000 t | 2023 | up 8.7% | rising |
| 21 | China, Hong Kong SAR | 22 1000 t | 2023 | down 56.0% | falling |
| 22 | United Kingdom | 16 1000 t | 2023 | down 15.8% | flat |
| 22 | Morocco | 16 1000 t | 2023 | up 300.0% | volatile |
| 22 | Netherlands (Kingdom of the) | 16 1000 t | 2023 | up 60.0% | rising |
| 22 | United Kingdom of Great Britain and Northern Ireland | 16 1000 t | 2023 | down 15.8% | flat |
| 26 | Canada | 15 1000 t | 2023 | down 6.2% | flat |
| 27 | Croatia | 12 1000 t | 2023 | up 50.0% | rising |
| 28 | Mexico | 11 1000 t | 2023 | unchanged | rising |
| 29 | Belgium | 10 1000 t | 2023 | up 11.1% | rising |
| 29 | South Africa | 10 1000 t | 2023 | up 11.1% | rising |
| 31 | Ukraine | 9 1000 t | 2023 | — | volatile |
| 32 | United Arab Emirates | 8 1000 t | 2023 | unchanged | volatile |
| 33 | Colombia | 7 1000 t | 2023 | up 75.0% | rising |
| 33 | Egypt | 7 1000 t | 2023 | down 36.4% | falling |
| 33 | Panama | 7 1000 t | 2023 | down 22.2% | rising |
| 36 | Brazil | 6 1000 t | 2023 | unchanged | rising |
| 36 | Ecuador | 6 1000 t | 2023 | up 500.0% | volatile |
| 36 | Indonesia | 6 1000 t | 2023 | up 100.0% | flat |
| 39 | Slovenia | 5 1000 t | 2023 | up 66.7% | rising |
| 40 | Albania | 4 1000 t | 2023 | up 100.0% | rising |
| 40 | Switzerland | 4 1000 t | 2023 | up 33.3% | rising |
| 40 | Cyprus | 4 1000 t | 2023 | up 100.0% | rising |
| 40 | Namibia | 4 1000 t | 2023 | down 42.9% | falling |
| 40 | New Zealand | 4 1000 t | 2023 | up 33.3% | rising |
| 45 | Belarus | 3 1000 t | 2023 | down 25.0% | rising |
| 45 | Denmark | 3 1000 t | 2023 | down 25.0% | flat |
| 45 | Iceland | 3 1000 t | 2023 | unchanged | falling |
| 45 | Romania | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | Turkey | 3 1000 t | 2023 | down 25.0% | falling |
| 45 | Caribbean | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Türkiye | 3 1000 t | 2023 | down 25.0% | falling |
| 52 | Austria | 2 1000 t | 2023 | unchanged | rising |
| 52 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Mauritius | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Poland | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Serbia | 2 1000 t | 2023 | unchanged | flat |
| 52 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 60 | Argentina | 1 1000 t | 2023 | unchanged | falling |
| 60 | Bahrain | 1 1000 t | 2023 | — | flat |
| 60 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | rising |
| 60 | Chile | 1 1000 t | 2023 | — | rising |
| 60 | Czechia | 1 1000 t | 2023 | — | volatile |
| 60 | Algeria | 1 1000 t | 2023 | unchanged | rising |
| 60 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 60 | India | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Ireland | 1 1000 t | 2023 | — | volatile |
| 60 | Israel | 1 1000 t | 2023 | unchanged | rising |
| 60 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 60 | Sri Lanka | 1 1000 t | 2023 | unchanged | rising |
| 60 | Lithuania | 1 1000 t | 2023 | unchanged | rising |
| 60 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 60 | Latvia | 1 1000 t | 2023 | — | volatile |
| 60 | Montenegro | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Oman | 1 1000 t | 2023 | — | volatile |
| 60 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Saudi Arabia | 1 1000 t | 2023 | unchanged | falling |
| 60 | Senegal | 1 1000 t | 2023 | — | volatile |
| 60 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 60 | Tunisia | 1 1000 t | 2023 | unchanged | falling |
| 60 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 85.7% | volatile |
| 83 | Angola | 0 1000 t | 2023 | — | volatile |
| 83 | Cuba | 0 1000 t | 2019 | — | volatile |
| 83 | Estonia | 0 1000 t | 2023 | — | volatile |
| 83 | Hungary | 0 1000 t | 2023 | — | volatile |
| 83 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 83 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Libya | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Maldives | 0 1000 t | 2023 | — | volatile |
| 83 | Malta | 0 1000 t | 2023 | — | volatile |
| 83 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 83 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,731 1000 t
- Asia 1,519 1000 t
- Eastern Asia 1,131 1000 t
- Europe 904 1000 t
- European Union (27) 814 1000 t
- Southern Europe 691 1000 t
- South-Eastern Asia 364 1000 t
- Americas 233 1000 t
- Northern America 184 1000 t
- United States of America 169 1000 t
- Western Europe 117 1000 t
- Eastern Europe 69 1000 t
- Africa 43 1000 t
- Net Food Importing Developing Countries (NFIDCs) 39 1000 t
- Oceania 33 1000 t
- Northern Europe 26 1000 t
- Northern Africa 25 1000 t
- South America 24 1000 t
- Central America 21 1000 t
- Western Asia 21 1000 t
- Southern Africa 14 1000 t
- Small island developing States (SIDS) 7 1000 t
- Southern Asia 3 1000 t
- Land Locked Developing Countries (LLDCs) 3 1000 t
- Least Developed Countries (LDCs) 2 1000 t
- Eastern Africa 2 1000 t
- Western Africa 2 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2 1000 t
- Central Asia 1 1000 t
- Middle Africa 0 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.