Freshwater 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
Freshwater Fish — Import quantity is currently reported for 157 countries. The highest value is 1,473 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 6 1000 t, and the mean is 57.39 1000 t.
Over the past decade 67 countries rose and 34 fell. The largest increase was in India (up 966.7%), and the largest decrease in Haiti (down 100.0%).
Freshwater Fish — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 1,473 1000 t | 2023 | up 3.1% | rising |
| 2 | China | 640 1000 t | 2023 | up 45.8% | rising |
| 3 | Sweden | 639 1000 t | 2023 | up 13.9% | rising |
| 4 | Germany | 480 1000 t | 2023 | up 7.6% | rising |
| 5 | China, mainland | 479 1000 t | 2023 | up 78.7% | rising |
| 6 | Mexico | 341 1000 t | 2023 | up 40.3% | rising |
| 7 | France | 282 1000 t | 2023 | down 3.8% | flat |
| 8 | Poland | 278 1000 t | 2023 | up 21.9% | rising |
| 9 | Denmark | 247 1000 t | 2023 | up 7.9% | rising |
| 10 | Russia | 216 1000 t | 2023 | down 39.7% | falling |
| 10 | Russian Federation | 216 1000 t | 2023 | down 39.7% | falling |
| 12 | Italy | 212 1000 t | 2023 | up 29.3% | rising |
| 13 | United Kingdom | 190 1000 t | 2023 | up 11.1% | rising |
| 13 | United Kingdom of Great Britain and Northern Ireland | 190 1000 t | 2023 | up 11.1% | rising |
| 15 | Brazil | 179 1000 t | 2023 | unchanged | rising |
| 16 | Thailand | 177 1000 t | 2023 | up 62.4% | rising |
| 17 | Canada | 170 1000 t | 2023 | up 18.1% | rising |
| 18 | Netherlands (Kingdom of the) | 168 1000 t | 2023 | up 19.1% | rising |
| 19 | Spain | 149 1000 t | 2023 | down 19.0% | falling |
| 20 | Belgium | 139 1000 t | 2023 | up 7.8% | rising |
| 21 | Israel | 117 1000 t | 2023 | up 120.8% | rising |
| 22 | China, Hong Kong SAR | 99 1000 t | 2023 | down 18.2% | rising |
| 23 | Ukraine | 95 1000 t | 2023 | up 126.2% | rising |
| 24 | Colombia | 92 1000 t | 2023 | up 37.3% | rising |
| 25 | Republic of Korea | 89 1000 t | 2023 | up 147.2% | rising |
| 26 | United Arab Emirates | 78 1000 t | 2023 | up 18.2% | rising |
| 27 | Cote d'Ivoire | 76 1000 t | 2023 | — | volatile |
| 27 | Côte d'Ivoire | 76 1000 t | 2023 | — | volatile |
| 29 | Finland | 66 1000 t | 2023 | up 29.4% | rising |
| 30 | Lithuania | 64 1000 t | 2023 | up 28.0% | rising |
| 31 | Malaysia | 58 1000 t | 2023 | up 26.1% | rising |
| 31 | Saudi Arabia | 58 1000 t | 2023 | down 57.0% | falling |
| 33 | Vietnam | 56 1000 t | 2023 | up 93.1% | rising |
| 33 | Viet Nam | 56 1000 t | 2023 | up 93.1% | rising |
| 35 | Australia and New Zealand | 55 1000 t | 2023 | up 1.9% | rising |
| 36 | China, Taiwan Province of | 53 1000 t | 2023 | up 23.3% | rising |
| 37 | Australia | 50 1000 t | 2023 | up 2.0% | rising |
| 38 | Switzerland | 48 1000 t | 2023 | up 2.1% | rising |
| 39 | Austria | 45 1000 t | 2023 | up 4.7% | rising |
| 40 | Portugal | 44 1000 t | 2023 | up 2.3% | rising |
| 41 | Czechia | 42 1000 t | 2023 | up 50.0% | rising |
| 42 | Romania | 34 1000 t | 2023 | up 25.9% | flat |
| 43 | India | 32 1000 t | 2023 | up 966.7% | volatile |
| 44 | Costa Rica | 31 1000 t | 2023 | up 55.0% | rising |
| 45 | Belarus | 30 1000 t | 2023 | down 30.2% | rising |
| 46 | Bahrain | 29 1000 t | 2023 | — | flat |
| 47 | Greece | 25 1000 t | 2023 | down 16.7% | falling |
| 47 | Peru | 25 1000 t | 2023 | up 150.0% | volatile |
| 49 | Caribbean | 22 1000 t | 2023 | up 57.1% | rising |
| 50 | South Africa | 20 1000 t | 2023 | up 122.2% | rising |
| 51 | Bangladesh | 18 1000 t | 2023 | up 38.5% | rising |
| 52 | Dominican Republic | 17 1000 t | 2023 | up 142.9% | volatile |
| 53 | Estonia | 16 1000 t | 2023 | down 51.5% | falling |
| 53 | Latvia | 16 1000 t | 2023 | down 23.8% | falling |
| 53 | Philippines | 16 1000 t | 2023 | up 77.8% | rising |
| 56 | Iraq | 15 1000 t | 2023 | up 87.5% | volatile |
| 56 | Qatar | 15 1000 t | 2023 | — | flat |
| 56 | Rwanda | 15 1000 t | 2023 | — | volatile |
| 56 | Slovakia | 15 1000 t | 2023 | up 66.7% | rising |
| 60 | Ireland | 14 1000 t | 2023 | up 27.3% | rising |
| 60 | Kenya | 14 1000 t | 2023 | up 600.0% | volatile |
| 62 | Kazakhstan | 13 1000 t | 2023 | down 40.9% | falling |
| 63 | Argentina | 12 1000 t | 2023 | up 33.3% | rising |
| 63 | Democratic Republic of the Congo | 12 1000 t | 2023 | up 50.0% | volatile |
| 65 | Chile | 11 1000 t | 2023 | up 120.0% | rising |
| 65 | Hungary | 11 1000 t | 2023 | up 22.2% | rising |
| 65 | Kuwait | 11 1000 t | 2023 | up 22.2% | rising |
| 68 | Panama | 10 1000 t | 2023 | up 150.0% | volatile |
| 69 | Indonesia | 9 1000 t | 2023 | up 80.0% | flat |
| 69 | Pakistan | 9 1000 t | 2023 | up 350.0% | volatile |
| 69 | Serbia | 9 1000 t | 2023 | down 18.2% | falling |
| 69 | Slovenia | 9 1000 t | 2023 | up 50.0% | rising |
| 69 | China, Macao SAR | 9 1000 t | 2023 | up 28.6% | rising |
| 74 | Turkey | 8 1000 t | 2023 | down 20.0% | falling |
| 74 | Türkiye | 8 1000 t | 2023 | down 20.0% | falling |
| 76 | Oman | 7 1000 t | 2023 | up 250.0% | volatile |
| 77 | Bulgaria | 6 1000 t | 2023 | down 45.5% | falling |
| 77 | Cameroon | 6 1000 t | 2023 | down 25.0% | volatile |
| 77 | Egypt | 6 1000 t | 2023 | up 200.0% | rising |
| 77 | Jordan | 6 1000 t | 2023 | down 25.0% | rising |
| 77 | Namibia | 6 1000 t | 2023 | up 50.0% | volatile |
| 77 | Zambia | 6 1000 t | 2023 | down 50.0% | volatile |
| 83 | Azerbaijan | 5 1000 t | 2023 | up 25.0% | rising |
| 83 | Croatia | 5 1000 t | 2023 | up 66.7% | rising |
| 83 | Luxembourg | 5 1000 t | 2023 | unchanged | flat |
| 83 | Moldova | 5 1000 t | 2023 | unchanged | rising |
| 83 | New Zealand | 5 1000 t | 2023 | up 25.0% | rising |
| 83 | Republic of Moldova | 5 1000 t | 2023 | unchanged | rising |
| 89 | Cyprus | 4 1000 t | 2023 | down 33.3% | falling |
| 89 | Gabon | 4 1000 t | 2023 | — | volatile |
| 89 | Ghana | 4 1000 t | 2023 | up 300.0% | volatile |
| 89 | Guatemala | 4 1000 t | 2023 | up 100.0% | volatile |
| 89 | Morocco | 4 1000 t | 2023 | unchanged | rising |
| 89 | Uruguay | 4 1000 t | 2023 | down 20.0% | rising |
| 95 | Georgia | 3 1000 t | 2023 | down 40.0% | flat |
| 95 | Honduras | 3 1000 t | 2023 | unchanged | rising |
| 95 | Lebanon | 3 1000 t | 2023 | down 72.7% | volatile |
| 95 | Norway | 3 1000 t | 2023 | unchanged | falling |
| 95 | Syria | 3 1000 t | 2023 | unchanged | volatile |
| 95 | Uzbekistan | 3 1000 t | 2023 | up 50.0% | volatile |
| 95 | Syrian Arab Republic | 3 1000 t | 2023 | unchanged | volatile |
| 102 | Burkina Faso | 2 1000 t | 2023 | — | volatile |
| 102 | Bhutan | 2 1000 t | 2023 | — | flat |
| 102 | Congo | 2 1000 t | 2023 | — | volatile |
| 102 | Jamaica | 2 1000 t | 2023 | — | volatile |
| 102 | Sri Lanka | 2 1000 t | 2023 | down 33.3% | volatile |
| 102 | Malta | 2 1000 t | 2023 | up 100.0% | rising |
| 102 | Mauritius | 2 1000 t | 2023 | up 100.0% | volatile |
| 102 | Malawi | 2 1000 t | 2023 | — | volatile |
| 102 | Nicaragua | 2 1000 t | 2023 | up 100.0% | volatile |
| 102 | Nepal | 2 1000 t | 2023 | — | volatile |
| 102 | Yemen | 2 1000 t | 2023 | — | volatile |
| 113 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 113 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 113 | Bahamas | 1 1000 t | 2023 | — | volatile |
| 113 | Bosnia and Herzegovina | 1 1000 t | 2023 | down 66.7% | volatile |
| 113 | Barbados | 1 1000 t | 2023 | — | volatile |
| 113 | Cuba | 1 1000 t | 2019 | — | volatile |
| 113 | Algeria | 1 1000 t | 2023 | down 94.7% | volatile |
| 113 | Ecuador | 1 1000 t | 2023 | unchanged | rising |
| 113 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 113 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 113 | Liberia | 1 1000 t | 2023 | — | volatile |
| 113 | Maldives | 1 1000 t | 2023 | — | volatile |
| 113 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 113 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 113 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 113 | Niger | 1 1000 t | 2023 | down 66.7% | falling |
| 113 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 113 | Paraguay | 1 1000 t | 2023 | — | volatile |
| 113 | French Polynesia | 1 1000 t | 2023 | — | volatile |
| 113 | Senegal | 1 1000 t | 2023 | — | volatile |
| 113 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 113 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | rising |
| 113 | Zimbabwe | 1 1000 t | 2023 | down 91.7% | volatile |
| 113 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 113 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 113 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 91.7% | volatile |
| 113 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 75.0% | volatile |
| 113 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | volatile |
| 141 | Angola | 0 1000 t | 2023 | — | volatile |
| 141 | Botswana | 0 1000 t | 2023 | — | volatile |
| 141 | Fiji | 0 1000 t | 2023 | — | volatile |
| 141 | Guinea | 0 1000 t | 2023 | — | volatile |
| 141 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 141 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 141 | Libya | 0 1000 t | 2023 | down 100.0% | volatile |
| 141 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 141 | Montenegro | 0 1000 t | 2023 | down 100.0% | volatile |
| 141 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 141 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 141 | East Timor | 0 1000 t | 2023 | — | volatile |
| 141 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 141 | Uganda | 0 1000 t | 2023 | — | volatile |
| 141 | Samoa | 0 1000 t | 2023 | — | volatile |
| 141 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 141 | Democratic People's Republic of Korea | 0 1000 t | 2017 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 8,307 1000 t
- Europe 3,611 1000 t
- European Union (27) 3,016 1000 t
- Americas 2,383 1000 t
- Asia 2,036 1000 t
- Northern America 1,643 1000 t
- United States of America 1,473 1000 t
- Eastern Asia 1,267 1000 t
- Northern Europe 1,256 1000 t
- Western Europe 1,167 1000 t
- Eastern Europe 732 1000 t
- Southern Europe 457 1000 t
- Central America 391 1000 t
- Western Asia 367 1000 t
- South America 326 1000 t
- South-Eastern Asia 319 1000 t
- Net Food Importing Developing Countries (NFIDCs) 282 1000 t
- Africa 220 1000 t
- Western Africa 113 1000 t
- Low Income Food Deficit Countries (LIFDCs) 101 1000 t
- Least Developed Countries (LDCs) 97 1000 t
- Land Locked Developing Countries (LLDCs) 76 1000 t
- Southern Asia 67 1000 t
- Oceania 57 1000 t
- Eastern Africa 45 1000 t
- Small island developing States (SIDS) 28 1000 t
- Southern Africa 26 1000 t
- Middle Africa 24 1000 t
- Central Asia 17 1000 t
- Northern Africa 12 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.