Demersal Fish — 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
Demersal Fish — Import quantity is currently reported for 180 countries. The highest value is 1,415 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 61.83 1000 t.
Over the past decade 61 countries rose and 43 fell. The largest increase was in Côte d'Ivoire (up 2,000.0%), and the largest decrease in Afghanistan (down 100.0%).
Demersal Fish — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,415 1000 t | 2023 | down 15.0% | rising |
| 2 | China, mainland | 1,318 1000 t | 2023 | down 17.0% | rising |
| 3 | Germany | 787 1000 t | 2023 | up 6.5% | flat |
| 4 | Republic of Korea | 759 1000 t | 2023 | up 15.5% | rising |
| 5 | Netherlands (Kingdom of the) | 704 1000 t | 2023 | up 27.1% | rising |
| 6 | France | 681 1000 t | 2023 | up 7.8% | rising |
| 7 | Spain | 567 1000 t | 2023 | up 4.6% | rising |
| 8 | United Kingdom of Great Britain and Northern Ireland | 511 1000 t | 2023 | down 8.4% | falling |
| 9 | Italy | 429 1000 t | 2023 | up 11.4% | rising |
| 10 | Denmark | 388 1000 t | 2023 | up 19.8% | rising |
| 11 | Portugal | 320 1000 t | 2023 | down 17.1% | flat |
| 12 | Poland | 314 1000 t | 2023 | up 16.7% | rising |
| 13 | Sweden | 267 1000 t | 2023 | down 3.6% | flat |
| 14 | Brazil | 210 1000 t | 2023 | down 58.0% | falling |
| 15 | Canada | 178 1000 t | 2023 | up 28.1% | rising |
| 16 | Belgium | 129 1000 t | 2023 | up 15.2% | rising |
| 16 | Nigeria | 129 1000 t | 2023 | down 67.6% | volatile |
| 18 | Russian Federation | 124 1000 t | 2023 | down 18.4% | falling |
| 19 | Australia and New Zealand | 119 1000 t | 2023 | down 11.9% | falling |
| 20 | Ukraine | 117 1000 t | 2023 | up 62.5% | rising |
| 21 | Australia | 104 1000 t | 2023 | down 14.0% | falling |
| 22 | Caribbean | 81 1000 t | 2023 | up 145.5% | rising |
| 23 | Norway | 74 1000 t | 2023 | up 85.0% | rising |
| 24 | Lithuania | 73 1000 t | 2023 | up 25.9% | rising |
| 25 | Dominican Republic | 65 1000 t | 2023 | up 261.1% | rising |
| 25 | China, Taiwan Province of | 65 1000 t | 2023 | up 27.5% | rising |
| 27 | United Arab Emirates | 62 1000 t | 2023 | up 12.7% | falling |
| 28 | Thailand | 59 1000 t | 2023 | up 90.3% | rising |
| 29 | Egypt | 57 1000 t | 2023 | down 28.8% | rising |
| 30 | Greece | 51 1000 t | 2023 | up 27.5% | rising |
| 31 | Philippines | 50 1000 t | 2023 | up 8.7% | rising |
| 32 | Congo | 44 1000 t | 2023 | up 91.3% | rising |
| 32 | Democratic People's Republic of Korea | 44 1000 t | 2018 | up 214.3% | rising |
| 34 | Belarus | 42 1000 t | 2023 | unchanged | rising |
| 34 | Ireland | 42 1000 t | 2023 | down 10.6% | falling |
| 36 | Czechia | 39 1000 t | 2023 | up 30.0% | rising |
| 37 | Saudi Arabia | 33 1000 t | 2023 | up 120.0% | rising |
| 38 | Malaysia | 30 1000 t | 2023 | up 7.1% | rising |
| 38 | China, Hong Kong SAR | 30 1000 t | 2023 | up 15.4% | rising |
| 40 | Austria | 28 1000 t | 2023 | up 3.7% | rising |
| 41 | Israel | 27 1000 t | 2023 | down 27.0% | falling |
| 41 | Viet Nam | 27 1000 t | 2023 | up 80.0% | rising |
| 43 | Slovakia | 25 1000 t | 2023 | up 31.6% | rising |
| 44 | Romania | 23 1000 t | 2023 | up 76.9% | rising |
| 45 | Switzerland | 22 1000 t | 2023 | unchanged | falling |
| 46 | Côte d'Ivoire | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 47 | Estonia | 19 1000 t | 2023 | up 46.2% | rising |
| 48 | Latvia | 16 1000 t | 2023 | up 6.7% | rising |
| 49 | Cameroon | 15 1000 t | 2023 | down 42.3% | volatile |
| 49 | Croatia | 15 1000 t | 2023 | up 36.4% | rising |
| 49 | Indonesia | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 49 | New Zealand | 15 1000 t | 2023 | up 7.1% | falling |
| 49 | Democratic Republic of the Congo | 15 1000 t | 2023 | down 51.6% | volatile |
| 54 | Finland | 14 1000 t | 2023 | down 6.7% | falling |
| 54 | India | 14 1000 t | 2023 | — | volatile |
| 56 | Bangladesh | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 56 | Hungary | 13 1000 t | 2023 | up 8.3% | rising |
| 58 | Serbia | 12 1000 t | 2023 | up 20.0% | rising |
| 59 | Ecuador | 11 1000 t | 2023 | up 450.0% | rising |
| 59 | Ghana | 11 1000 t | 2023 | up 83.3% | volatile |
| 59 | Jordan | 11 1000 t | 2023 | up 266.7% | volatile |
| 59 | Republic of Moldova | 11 1000 t | 2023 | up 22.2% | rising |
| 63 | Bulgaria | 10 1000 t | 2023 | up 66.7% | rising |
| 63 | Sri Lanka | 10 1000 t | 2023 | unchanged | falling |
| 63 | Uruguay | 10 1000 t | 2023 | down 50.0% | volatile |
| 66 | Algeria | 9 1000 t | 2023 | up 12.5% | rising |
| 66 | Kazakhstan | 9 1000 t | 2023 | up 125.0% | rising |
| 66 | Kuwait | 9 1000 t | 2023 | unchanged | rising |
| 66 | Morocco | 9 1000 t | 2023 | up 800.0% | volatile |
| 70 | Mexico | 8 1000 t | 2023 | down 46.7% | falling |
| 70 | Qatar | 8 1000 t | 2023 | — | flat |
| 70 | Slovenia | 8 1000 t | 2023 | up 60.0% | rising |
| 73 | Haiti | 7 1000 t | 2023 | up 40.0% | rising |
| 73 | Liberia | 7 1000 t | 2023 | up 250.0% | volatile |
| 75 | Angola | 6 1000 t | 2023 | down 76.9% | volatile |
| 75 | Bahrain | 6 1000 t | 2023 | — | flat |
| 75 | Chile | 6 1000 t | 2023 | up 100.0% | rising |
| 75 | Iceland | 6 1000 t | 2023 | unchanged | falling |
| 75 | North Macedonia | 6 1000 t | 2023 | up 50.0% | rising |
| 80 | Gabon | 5 1000 t | 2023 | up 66.7% | volatile |
| 80 | Georgia | 5 1000 t | 2023 | up 66.7% | rising |
| 80 | Iraq | 5 1000 t | 2023 | down 50.0% | volatile |
| 80 | Luxembourg | 5 1000 t | 2023 | up 25.0% | rising |
| 84 | Bosnia and Herzegovina | 4 1000 t | 2023 | unchanged | rising |
| 84 | Jamaica | 4 1000 t | 2023 | up 300.0% | volatile |
| 84 | Libya | 4 1000 t | 2023 | up 33.3% | volatile |
| 84 | Mauritius | 4 1000 t | 2023 | unchanged | volatile |
| 84 | Tajikistan | 4 1000 t | 2023 | up 300.0% | volatile |
| 84 | Türkiye | 4 1000 t | 2023 | down 71.4% | falling |
| 90 | Cyprus | 3 1000 t | 2023 | unchanged | rising |
| 90 | Namibia | 3 1000 t | 2023 | up 200.0% | volatile |
| 92 | Argentina | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Azerbaijan | 2 1000 t | 2023 | unchanged | volatile |
| 92 | Cuba | 2 1000 t | 2019 | — | volatile |
| 92 | Guinea-Bissau | 2 1000 t | 2023 | — | volatile |
| 92 | Panama | 2 1000 t | 2023 | — | volatile |
| 92 | Trinidad and Tobago | 2 1000 t | 2023 | down 50.0% | rising |
| 92 | Uzbekistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | down 94.4% | volatile |
| 100 | Albania | 1 1000 t | 2023 | unchanged | rising |
| 100 | Armenia | 1 1000 t | 2023 | — | volatile |
| 100 | Bahamas | 1 1000 t | 2023 | unchanged | rising |
| 100 | Botswana | 1 1000 t | 2023 | unchanged | flat |
| 100 | Colombia | 1 1000 t | 2023 | down 75.0% | falling |
| 100 | Costa Rica | 1 1000 t | 2023 | down 75.0% | volatile |
| 100 | Guinea | 1 1000 t | 2023 | — | volatile |
| 100 | Kenya | 1 1000 t | 2023 | — | volatile |
| 100 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 100 | Lebanon | 1 1000 t | 2023 | down 85.7% | volatile |
| 100 | Saint Lucia | 1 1000 t | 2023 | — | volatile |
| 100 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 100 | Malta | 1 1000 t | 2023 | unchanged | rising |
| 100 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 100 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 100 | Niger | 1 1000 t | 2023 | — | volatile |
| 100 | Oman | 1 1000 t | 2023 | down 50.0% | volatile |
| 100 | Peru | 1 1000 t | 2023 | down 87.5% | volatile |
| 100 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 100 | Tunisia | 1 1000 t | 2023 | down 66.7% | falling |
| 100 | Zambia | 1 1000 t | 2023 | — | volatile |
| 100 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 100 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 100 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | volatile |
| 100 | China, Macao SAR | 1 1000 t | 2023 | — | rising |
| 125 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 125 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 125 | Belize | 0 1000 t | 2023 | — | flat |
| 125 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Comoros | 0 1000 t | 2023 | — | flat |
| 125 | Djibouti | 0 1000 t | 2023 | — | flat |
| 125 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 125 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Gambia | 0 1000 t | 2023 | — | flat |
| 125 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Guatemala | 0 1000 t | 2023 | — | flat |
| 125 | Guyana | 0 1000 t | 2023 | — | flat |
| 125 | Honduras | 0 1000 t | 2023 | — | flat |
| 125 | Cambodia | 0 1000 t | 2023 | — | flat |
| 125 | Kiribati | 0 1000 t | 2023 | — | flat |
| 125 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 125 | Madagascar | 0 1000 t | 2023 | — | flat |
| 125 | Maldives | 0 1000 t | 2023 | — | flat |
| 125 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 125 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 125 | Mongolia | 0 1000 t | 2023 | — | flat |
| 125 | Mauritania | 0 1000 t | 2023 | — | flat |
| 125 | Malawi | 0 1000 t | 2023 | — | flat |
| 125 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 125 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 125 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Paraguay | 0 1000 t | 2023 | — | flat |
| 125 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 125 | Rwanda | 0 1000 t | 2023 | — | flat |
| 125 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 125 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 125 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 125 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 125 | Suriname | 0 1000 t | 2023 | — | flat |
| 125 | Seychelles | 0 1000 t | 2023 | — | flat |
| 125 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Tonga | 0 1000 t | 2023 | — | flat |
| 125 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 125 | Uganda | 0 1000 t | 2023 | — | flat |
| 125 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 125 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 125 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Yemen | 0 1000 t | 2020 | — | flat |
| 125 | Micronesia | 0 1000 t | 2023 | — | flat |
| 125 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 125 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 125 | Iran (Islamic Republic of) | 0 1000 t | 2019 | down 100.0% | volatile |
| 125 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 125 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | 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 10,760 1000 t
- Europe 5,900 1000 t
- European Union (27) 4,972 1000 t
- Asia 2,995 1000 t
- Eastern Asia 2,581 1000 t
- Western Europe 2,357 1000 t
- Southern Europe 1,414 1000 t
- Northern Europe 1,412 1000 t
- Americas 1,318 1000 t
- Northern America 981 1000 t
- United States of America 803 1000 t
- Eastern Europe 718 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.