Crustaceans — 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
Crustaceans — Import quantity is currently reported for 125 countries. The highest value is 1,895 1000 t in United States; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 5 1000 t, and the mean is 68.66 1000 t.
Over the past decade 60 countries rose and 27 fell. The largest increase was in Albania (up 1,400.0%), and the largest decrease in Angola (down 100.0%).
Crustaceans — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 1,895 1000 t | 2023 | up 27.2% | rising |
| 2 | China | 1,464 1000 t | 2023 | up 235.8% | volatile |
| 3 | China, mainland | 1,268 1000 t | 2023 | up 512.6% | volatile |
| 4 | Canada | 268 1000 t | 2023 | up 77.5% | rising |
| 5 | France | 250 1000 t | 2023 | down 1.6% | falling |
| 6 | Spain | 227 1000 t | 2023 | up 15.8% | flat |
| 7 | United Kingdom | 216 1000 t | 2023 | down 19.1% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 216 1000 t | 2023 | down 19.1% | falling |
| 9 | Republic of Korea | 193 1000 t | 2023 | up 66.4% | rising |
| 10 | Denmark | 184 1000 t | 2023 | down 12.0% | falling |
| 11 | Netherlands (Kingdom of the) | 169 1000 t | 2023 | up 34.1% | rising |
| 12 | Russia | 118 1000 t | 2023 | up 35.6% | rising |
| 12 | Russian Federation | 118 1000 t | 2023 | up 35.6% | rising |
| 14 | Italy | 117 1000 t | 2023 | up 12.5% | flat |
| 15 | Belgium | 110 1000 t | 2023 | down 9.1% | falling |
| 15 | Germany | 110 1000 t | 2023 | up 23.6% | rising |
| 17 | China, Hong Kong SAR | 108 1000 t | 2023 | down 31.2% | falling |
| 18 | United Arab Emirates | 90 1000 t | 2023 | up 63.6% | rising |
| 19 | Australia and New Zealand | 88 1000 t | 2023 | unchanged | falling |
| 20 | Indonesia | 84 1000 t | 2023 | down 48.8% | volatile |
| 20 | Sweden | 84 1000 t | 2023 | down 2.3% | flat |
| 22 | Thailand | 81 1000 t | 2023 | up 58.8% | rising |
| 23 | China, Taiwan Province of | 80 1000 t | 2023 | up 21.2% | rising |
| 24 | Malaysia | 73 1000 t | 2023 | up 15.9% | rising |
| 25 | Australia | 72 1000 t | 2023 | down 5.3% | falling |
| 26 | Vietnam | 67 1000 t | 2023 | up 76.3% | rising |
| 26 | Viet Nam | 67 1000 t | 2023 | up 76.3% | rising |
| 28 | Portugal | 56 1000 t | 2023 | up 80.6% | rising |
| 29 | Ecuador | 46 1000 t | 2023 | up 39.4% | rising |
| 30 | Norway | 39 1000 t | 2023 | down 4.9% | falling |
| 31 | Mexico | 38 1000 t | 2023 | down 26.9% | flat |
| 32 | Morocco | 36 1000 t | 2023 | up 9.1% | rising |
| 33 | Chile | 33 1000 t | 2023 | up 57.1% | rising |
| 33 | Ukraine | 33 1000 t | 2023 | up 83.3% | volatile |
| 35 | Iceland | 31 1000 t | 2023 | up 63.2% | falling |
| 36 | Egypt | 26 1000 t | 2023 | up 52.9% | falling |
| 37 | Greece | 23 1000 t | 2023 | up 64.3% | rising |
| 38 | Switzerland | 21 1000 t | 2023 | unchanged | falling |
| 38 | South Africa | 21 1000 t | 2023 | down 4.5% | rising |
| 40 | Caribbean | 19 1000 t | 2023 | up 137.5% | rising |
| 41 | Austria | 18 1000 t | 2023 | up 63.6% | rising |
| 42 | Guatemala | 16 1000 t | 2023 | up 300.0% | volatile |
| 42 | New Zealand | 16 1000 t | 2023 | up 33.3% | rising |
| 44 | Albania | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 45 | Colombia | 14 1000 t | 2023 | up 100.0% | rising |
| 46 | Ireland | 13 1000 t | 2023 | up 18.2% | rising |
| 46 | Peru | 13 1000 t | 2023 | up 550.0% | volatile |
| 48 | Poland | 12 1000 t | 2023 | up 33.3% | rising |
| 49 | Saudi Arabia | 11 1000 t | 2023 | down 21.4% | falling |
| 50 | Bulgaria | 10 1000 t | 2023 | up 400.0% | volatile |
| 50 | Finland | 10 1000 t | 2023 | down 16.7% | falling |
| 50 | Romania | 10 1000 t | 2023 | up 400.0% | volatile |
| 53 | Dominican Republic | 9 1000 t | 2023 | up 350.0% | rising |
| 53 | Kuwait | 9 1000 t | 2023 | up 125.0% | rising |
| 53 | Qatar | 9 1000 t | 2023 | — | flat |
| 56 | Israel | 8 1000 t | 2023 | up 100.0% | rising |
| 57 | Oman | 7 1000 t | 2023 | up 75.0% | rising |
| 57 | Philippines | 7 1000 t | 2023 | up 133.3% | rising |
| 57 | China, Macao SAR | 7 1000 t | 2023 | up 16.7% | rising |
| 60 | Czechia | 6 1000 t | 2023 | up 100.0% | rising |
| 60 | India | 6 1000 t | 2023 | up 500.0% | volatile |
| 62 | Bahrain | 5 1000 t | 2023 | — | flat |
| 62 | Belarus | 5 1000 t | 2023 | down 28.6% | falling |
| 62 | Jamaica | 5 1000 t | 2023 | up 150.0% | rising |
| 62 | Lithuania | 5 1000 t | 2023 | up 150.0% | rising |
| 66 | Estonia | 4 1000 t | 2023 | unchanged | falling |
| 66 | Croatia | 4 1000 t | 2023 | up 100.0% | rising |
| 66 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 66 | Mauritius | 4 1000 t | 2023 | up 33.3% | rising |
| 66 | Panama | 4 1000 t | 2023 | up 100.0% | rising |
| 71 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 71 | Costa Rica | 3 1000 t | 2023 | up 200.0% | rising |
| 71 | Cyprus | 3 1000 t | 2023 | unchanged | falling |
| 71 | Laos | 3 1000 t | 2023 | — | volatile |
| 71 | Lebanon | 3 1000 t | 2023 | down 40.0% | falling |
| 71 | Sri Lanka | 3 1000 t | 2023 | up 200.0% | rising |
| 71 | Luxembourg | 3 1000 t | 2023 | unchanged | falling |
| 71 | Latvia | 3 1000 t | 2023 | down 25.0% | flat |
| 71 | Slovenia | 3 1000 t | 2023 | up 200.0% | rising |
| 71 | Trinidad and Tobago | 3 1000 t | 2023 | unchanged | rising |
| 71 | Melanesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 71 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 83 | Argentina | 2 1000 t | 2023 | unchanged | flat |
| 83 | Algeria | 2 1000 t | 2023 | down 33.3% | falling |
| 83 | Hungary | 2 1000 t | 2023 | up 100.0% | rising |
| 83 | Jordan | 2 1000 t | 2023 | up 100.0% | rising |
| 83 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 83 | Maldives | 2 1000 t | 2023 | up 100.0% | rising |
| 83 | New Caledonia | 2 1000 t | 2023 | — | volatile |
| 83 | Turkey | 2 1000 t | 2023 | up 100.0% | rising |
| 83 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 83 | Türkiye | 2 1000 t | 2023 | up 100.0% | rising |
| 93 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 93 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 93 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 93 | Bahamas | 1 1000 t | 2023 | unchanged | rising |
| 93 | Brazil | 1 1000 t | 2023 | down 66.7% | volatile |
| 93 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 93 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 93 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 93 | Iraq | 1 1000 t | 2023 | — | volatile |
| 93 | Moldova | 1 1000 t | 2023 | — | volatile |
| 93 | Malta | 1 1000 t | 2023 | unchanged | flat |
| 93 | Myanmar | 1 1000 t | 2023 | down 66.7% | volatile |
| 93 | Namibia | 1 1000 t | 2023 | unchanged | rising |
| 93 | Nigeria | 1 1000 t | 2023 | down 66.7% | volatile |
| 93 | French Polynesia | 1 1000 t | 2023 | unchanged | falling |
| 93 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 93 | Serbia | 1 1000 t | 2023 | — | volatile |
| 93 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 93 | Polynesia | 1 1000 t | 2023 | unchanged | falling |
| 93 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 93 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 66.7% | volatile |
| 93 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 115 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 115 | Fiji | 0 1000 t | 2023 | — | volatile |
| 115 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 115 | Libya | 0 1000 t | 2023 | down 100.0% | volatile |
| 115 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 115 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 115 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 115 | Senegal | 0 1000 t | 2023 | — | volatile |
| 115 | Seychelles | 0 1000 t | 2023 | down 100.0% | volatile |
| 115 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 115 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 7,502 1000 t
- Asia 3,037 1000 t
- Eastern Asia 2,550 1000 t
- Americas 2,356 1000 t
- Northern America 2,163 1000 t
- Europe 1,915 1000 t
- United States of America 1,895 1000 t
- European Union (27) 1,437 1000 t
- Western Europe 683 1000 t
- Northern Europe 589 1000 t
- Southern Europe 446 1000 t
- South-Eastern Asia 317 1000 t
- Eastern Europe 198 1000 t
- Western Asia 153 1000 t
- Net Food Importing Developing Countries (NFIDCs) 123 1000 t
- South America 112 1000 t
- Africa 101 1000 t
- Oceania 91 1000 t
- Northern Africa 65 1000 t
- Central America 62 1000 t
- Small island developing States (SIDS) 30 1000 t
- Southern Africa 22 1000 t
- Land Locked Developing Countries (LLDCs) 15 1000 t
- Southern Asia 13 1000 t
- Least Developed Countries (LDCs) 12 1000 t
- Western Africa 7 1000 t
- Low Income Food Deficit Countries (LIFDCs) 7 1000 t
- Eastern Africa 5 1000 t
- Central Asia 4 1000 t
- Middle Africa 1 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.