Marine Fish, Other — 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...
Countries reporting
175
Highest
643 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,801
What the numbers show
Marine Fish, Other — Import quantity is currently reported for 175 countries. The highest value is 643 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 2 1000 t, and the mean is 20.86 1000 t.
Over the past decade 38 countries rose and 51 fell. The largest increase was in Myanmar (up 3,200.0%), and the largest decrease in Angola (down 100.0%).
Marine Fish, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 643 1000 t | 2023 | up 13.6% | falling |
| 2 | Viet Nam | 613 1000 t | 2023 | up 6.4% | flat |
| 3 | China, mainland | 433 1000 t | 2023 | up 28.1% | volatile |
| 4 | Thailand | 162 1000 t | 2023 | up 548.0% | volatile |
| 5 | Malaysia | 141 1000 t | 2023 | up 72.0% | rising |
| 6 | China, Hong Kong SAR | 139 1000 t | 2023 | down 12.6% | falling |
| 7 | Côte d'Ivoire | 116 1000 t | 2023 | down 2.5% | rising |
| 8 | Italy | 96 1000 t | 2023 | up 41.2% | rising |
| 9 | Spain | 76 1000 t | 2023 | up 15.2% | falling |
| 10 | Cameroon | 69 1000 t | 2023 | down 1.4% | flat |
| 11 | Bangladesh | 66 1000 t | 2023 | up 22.2% | rising |
| 12 | China, Taiwan Province of | 64 1000 t | 2023 | up 4.9% | falling |
| 13 | Philippines | 59 1000 t | 2023 | up 353.8% | volatile |
| 14 | Burkina Faso | 53 1000 t | 2023 | up 6.0% | rising |
| 14 | Caribbean | 53 1000 t | 2023 | up 12.8% | falling |
| 16 | Saudi Arabia | 45 1000 t | 2023 | up 125.0% | rising |
| 17 | Australia | 44 1000 t | 2023 | up 4.8% | rising |
| 17 | Australia and New Zealand | 44 1000 t | 2023 | up 4.8% | rising |
| 19 | Germany | 41 1000 t | 2023 | up 2.5% | falling |
| 20 | Myanmar | 33 1000 t | 2023 | up 3,200.0% | volatile |
| 20 | Portugal | 33 1000 t | 2023 | down 23.3% | falling |
| 22 | Belarus | 31 1000 t | 2023 | up 10.7% | rising |
| 22 | Nigeria | 31 1000 t | 2023 | down 6.1% | rising |
| 24 | Cambodia | 29 1000 t | 2023 | up 1,350.0% | volatile |
| 25 | Rwanda | 27 1000 t | 2023 | unchanged | rising |
| 25 | Republic of Korea | 27 1000 t | 2023 | up 22.7% | rising |
| 27 | Jamaica | 24 1000 t | 2023 | up 4.3% | rising |
| 28 | Peru | 22 1000 t | 2023 | up 175.0% | rising |
| 29 | United Arab Emirates | 21 1000 t | 2023 | down 58.8% | falling |
| 29 | Egypt | 21 1000 t | 2023 | up 16.7% | volatile |
| 31 | Indonesia | 18 1000 t | 2023 | up 157.1% | falling |
| 32 | Uganda | 17 1000 t | 2023 | — | volatile |
| 33 | Mexico | 16 1000 t | 2023 | down 15.8% | volatile |
| 34 | Dominican Republic | 15 1000 t | 2023 | up 36.4% | flat |
| 34 | Greece | 15 1000 t | 2023 | up 87.5% | rising |
| 34 | Oman | 15 1000 t | 2023 | up 400.0% | rising |
| 37 | Belgium | 14 1000 t | 2023 | down 12.5% | falling |
| 37 | France | 14 1000 t | 2023 | down 26.3% | falling |
| 39 | Switzerland | 13 1000 t | 2023 | down 7.1% | flat |
| 40 | Brazil | 12 1000 t | 2023 | down 85.5% | volatile |
| 41 | Sweden | 11 1000 t | 2023 | unchanged | falling |
| 41 | Bolivia (Plurinational State of) | 11 1000 t | 2023 | up 10.0% | rising |
| 43 | Jordan | 10 1000 t | 2023 | down 37.5% | falling |
| 44 | Czechia | 8 1000 t | 2023 | unchanged | falling |
| 44 | Kazakhstan | 8 1000 t | 2023 | down 20.0% | falling |
| 44 | Kuwait | 8 1000 t | 2023 | up 60.0% | volatile |
| 44 | Liberia | 8 1000 t | 2023 | up 33.3% | volatile |
| 44 | Lao People's Democratic Republic | 8 1000 t | 2023 | — | volatile |
| 44 | China, Macao SAR | 8 1000 t | 2023 | unchanged | falling |
| 50 | Latvia | 7 1000 t | 2023 | down 30.0% | rising |
| 51 | Austria | 6 1000 t | 2023 | down 25.0% | falling |
| 51 | Canada | 6 1000 t | 2023 | down 25.0% | falling |
| 51 | Colombia | 6 1000 t | 2023 | unchanged | rising |
| 51 | Finland | 6 1000 t | 2023 | down 14.3% | falling |
| 51 | Romania | 6 1000 t | 2023 | down 14.3% | falling |
| 56 | Lebanon | 5 1000 t | 2023 | down 37.5% | volatile |
| 56 | Trinidad and Tobago | 5 1000 t | 2023 | up 25.0% | falling |
| 56 | Ukraine | 5 1000 t | 2023 | down 82.8% | volatile |
| 56 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | down 16.7% | falling |
| 60 | Bahrain | 4 1000 t | 2023 | — | flat |
| 60 | Georgia | 4 1000 t | 2023 | down 50.0% | falling |
| 60 | Ghana | 4 1000 t | 2023 | up 100.0% | rising |
| 60 | India | 4 1000 t | 2023 | down 69.2% | volatile |
| 60 | Panama | 4 1000 t | 2023 | up 100.0% | rising |
| 60 | Republic of Moldova | 4 1000 t | 2023 | down 33.3% | falling |
| 66 | Bulgaria | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Bosnia and Herzegovina | 3 1000 t | 2023 | up 200.0% | falling |
| 66 | Bhutan | 3 1000 t | 2023 | — | rising |
| 66 | Mauritius | 3 1000 t | 2023 | down 25.0% | falling |
| 66 | Malawi | 3 1000 t | 2023 | down 25.0% | flat |
| 66 | Melanesia | 3 1000 t | 2023 | down 50.0% | falling |
| 72 | Antigua and Barbuda | 2 1000 t | 2023 | unchanged | flat |
| 72 | Barbados | 2 1000 t | 2023 | down 33.3% | falling |
| 72 | Guatemala | 2 1000 t | 2023 | down 89.5% | volatile |
| 72 | Guyana | 2 1000 t | 2023 | — | volatile |
| 72 | Hungary | 2 1000 t | 2023 | unchanged | falling |
| 72 | Iraq | 2 1000 t | 2023 | down 88.9% | volatile |
| 72 | Israel | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | North Macedonia | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Malta | 2 1000 t | 2023 | unchanged | rising |
| 72 | Nepal | 2 1000 t | 2023 | down 66.7% | falling |
| 72 | Qatar | 2 1000 t | 2023 | — | flat |
| 72 | Solomon Islands | 2 1000 t | 2023 | down 33.3% | rising |
| 72 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 72 | Zambia | 2 1000 t | 2023 | down 75.0% | volatile |
| 72 | Democratic Republic of the Congo | 2 1000 t | 2023 | down 95.9% | volatile |
| 72 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 72 | Democratic People's Republic of Korea | 2 1000 t | 2018 | down 33.3% | falling |
| 89 | Albania | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Azerbaijan | 1 1000 t | 2023 | down 66.7% | volatile |
| 89 | Bahamas | 1 1000 t | 2023 | — | volatile |
| 89 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 89 | Algeria | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Grenada | 1 1000 t | 2023 | — | volatile |
| 89 | Haiti | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Kenya | 1 1000 t | 2023 | down 50.0% | volatile |
| 89 | Kiribati | 1 1000 t | 2023 | — | volatile |
| 89 | Libya | 1 1000 t | 2023 | down 66.7% | volatile |
| 89 | Saint Lucia | 1 1000 t | 2023 | unchanged | rising |
| 89 | Luxembourg | 1 1000 t | 2023 | down 50.0% | falling |
| 89 | Morocco | 1 1000 t | 2023 | down 66.7% | volatile |
| 89 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 89 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 89 | Mozambique | 1 1000 t | 2023 | down 97.8% | volatile |
| 89 | Niger | 1 1000 t | 2023 | unchanged | flat |
| 89 | Papua New Guinea | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Suriname | 1 1000 t | 2023 | — | volatile |
| 89 | Slovenia | 1 1000 t | 2023 | unchanged | flat |
| 89 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 89 | Tonga | 1 1000 t | 2023 | — | flat |
| 89 | Uzbekistan | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Vanuatu | 1 1000 t | 2023 | down 50.0% | volatile |
| 89 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 89 | Timor-Leste | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 89 | Syrian Arab Republic | 1 1000 t | 2023 | down 83.3% | volatile |
| 89 | United Republic of Tanzania | 1 1000 t | 2023 | — | volatile |
| 122 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 122 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Belize | 0 1000 t | 2023 | — | flat |
| 122 | Botswana | 0 1000 t | 2023 | — | volatile |
| 122 | Chile | 0 1000 t | 2023 | — | flat |
| 122 | Congo | 0 1000 t | 2023 | — | flat |
| 122 | Comoros | 0 1000 t | 2023 | — | flat |
| 122 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 122 | Djibouti | 0 1000 t | 2023 | — | flat |
| 122 | Denmark | 0 1000 t | 2023 | — | flat |
| 122 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 122 | Estonia | 0 1000 t | 2023 | — | flat |
| 122 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Fiji | 0 1000 t | 2023 | — | volatile |
| 122 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Guinea | 0 1000 t | 2023 | — | flat |
| 122 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 122 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Ireland | 0 1000 t | 2023 | — | flat |
| 122 | Iceland | 0 1000 t | 2023 | — | flat |
| 122 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 122 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 122 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 122 | Lithuania | 0 1000 t | 2023 | — | flat |
| 122 | Madagascar | 0 1000 t | 2023 | — | flat |
| 122 | Maldives | 0 1000 t | 2023 | — | volatile |
| 122 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 122 | Mauritania | 0 1000 t | 2023 | — | flat |
| 122 | Namibia | 0 1000 t | 2023 | — | volatile |
| 122 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 122 | Norway | 0 1000 t | 2023 | — | flat |
| 122 | New Zealand | 0 1000 t | 2023 | — | flat |
| 122 | Pakistan | 0 1000 t | 2023 | — | flat |
| 122 | Poland | 0 1000 t | 2023 | — | flat |
| 122 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 122 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 122 | Senegal | 0 1000 t | 2023 | — | flat |
| 122 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 122 | El Salvador | 0 1000 t | 2023 | — | flat |
| 122 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 122 | Seychelles | 0 1000 t | 2023 | — | flat |
| 122 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 122 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 122 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 122 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 122 | Samoa | 0 1000 t | 2023 | — | volatile |
| 122 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 122 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 122 | Türkiye | 0 1000 t | 2023 | — | flat |
| 122 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 122 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,563 1000 t
- Asia 2,498 1000 t
- Eastern Asia 1,225 1000 t
- South-eastern Asia 1,062 1000 t
- Net Food Importing Developing Countries (NFIDCs) 588 1000 t
- Africa 465 1000 t
- Europe 413 1000 t
- Least Developed Countries (LDCs) 353 1000 t
- European Union (27) 348 1000 t
- Western Africa 286 1000 t
- Low Income Food Deficit Countries (LIFDCs) 286 1000 t
- Southern Europe 232 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.