Pelagic 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...
Countries reporting
186
Highest
10,139 1000 t
China
Lowest
0 1000 t
Pakistan
Median
26.5 1000 t
Years covered
14
2010–2023
Data points
3,028
What the numbers show
Pelagic Fish — Import quantity is currently reported for 186 countries. The highest value is 10,139 1000 t in China; the lowest is 0 1000 t in Pakistan.
The median across all reporting countries is 26.5 1000 t, and the mean is 235.13 1000 t.
Over the past decade 95 countries rose and 66 fell. The largest increase was in Democratic People's Republic of Korea (up 1,666.7%), and the largest decrease in Belize (down 100.0%).
Pelagic Fish — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 10,139 1000 t | 2023 | up 68.0% | rising |
| 2 | China, mainland | 9,403 1000 t | 2023 | up 76.6% | rising |
| 3 | Thailand | 1,440 1000 t | 2023 | up 4.3% | flat |
| 4 | Spain | 926 1000 t | 2023 | up 49.8% | rising |
| 5 | Norway | 850 1000 t | 2023 | down 29.5% | falling |
| 6 | United States | 837 1000 t | 2023 | up 13.0% | rising |
| 7 | Turkey | 836 1000 t | 2023 | up 140.9% | rising |
| 7 | Türkiye | 836 1000 t | 2023 | up 140.9% | rising |
| 9 | Germany | 824 1000 t | 2023 | down 33.8% | falling |
| 10 | Republic of Korea | 780 1000 t | 2023 | up 72.2% | rising |
| 11 | United Kingdom | 746 1000 t | 2023 | up 29.3% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 746 1000 t | 2023 | up 29.3% | rising |
| 13 | China, Taiwan Province of | 685 1000 t | 2023 | unchanged | falling |
| 14 | Denmark | 623 1000 t | 2023 | down 11.3% | falling |
| 15 | Italy | 548 1000 t | 2023 | up 10.3% | rising |
| 16 | France | 525 1000 t | 2023 | down 4.9% | falling |
| 17 | Netherlands (Kingdom of the) | 515 1000 t | 2023 | up 10.3% | flat |
| 18 | Cote d'Ivoire | 514 1000 t | 2023 | up 164.9% | rising |
| 18 | Greece | 514 1000 t | 2023 | up 46.9% | rising |
| 18 | Côte d'Ivoire | 514 1000 t | 2023 | up 164.9% | rising |
| 21 | Philippines | 513 1000 t | 2023 | up 82.6% | rising |
| 22 | Indonesia | 479 1000 t | 2023 | up 3.0% | flat |
| 23 | Nigeria | 411 1000 t | 2023 | down 38.6% | falling |
| 24 | Ghana | 368 1000 t | 2023 | down 11.1% | rising |
| 25 | Russia | 331 1000 t | 2023 | down 60.4% | falling |
| 25 | Russian Federation | 331 1000 t | 2023 | down 60.4% | falling |
| 27 | Poland | 327 1000 t | 2023 | up 29.2% | rising |
| 28 | Canada | 321 1000 t | 2023 | down 8.8% | falling |
| 28 | Malaysia | 321 1000 t | 2023 | down 6.7% | falling |
| 30 | Ukraine | 306 1000 t | 2023 | down 30.3% | falling |
| 31 | Vietnam | 292 1000 t | 2023 | up 156.1% | rising |
| 31 | Viet Nam | 292 1000 t | 2023 | up 156.1% | rising |
| 33 | Egypt | 280 1000 t | 2023 | down 2.8% | falling |
| 34 | Australia and New Zealand | 251 1000 t | 2023 | down 2.0% | falling |
| 35 | Australia | 236 1000 t | 2023 | down 1.3% | falling |
| 36 | Chile | 219 1000 t | 2023 | down 39.7% | falling |
| 37 | Colombia | 200 1000 t | 2023 | down 12.3% | falling |
| 38 | Caribbean | 186 1000 t | 2023 | up 57.6% | rising |
| 39 | Mauritius | 176 1000 t | 2023 | down 1.7% | rising |
| 40 | Ecuador | 171 1000 t | 2023 | up 200.0% | rising |
| 41 | Saudi Arabia | 170 1000 t | 2023 | down 18.7% | flat |
| 42 | Burkina Faso | 163 1000 t | 2023 | up 226.0% | rising |
| 43 | South Africa | 160 1000 t | 2023 | up 14.3% | rising |
| 44 | Sweden | 152 1000 t | 2023 | up 36.9% | rising |
| 45 | Bangladesh | 149 1000 t | 2023 | up 1,390.0% | volatile |
| 46 | Portugal | 144 1000 t | 2023 | down 5.3% | rising |
| 47 | Belarus | 135 1000 t | 2023 | down 2.9% | flat |
| 48 | Cameroon | 131 1000 t | 2023 | down 19.1% | falling |
| 49 | Mexico | 117 1000 t | 2023 | up 56.0% | rising |
| 49 | Peru | 117 1000 t | 2023 | up 6.4% | rising |
| 51 | United Arab Emirates | 114 1000 t | 2023 | up 83.9% | rising |
| 51 | Zambia | 114 1000 t | 2023 | up 267.7% | volatile |
| 53 | Sri Lanka | 113 1000 t | 2023 | down 43.8% | falling |
| 54 | Brazil | 107 1000 t | 2023 | down 10.8% | rising |
| 55 | Czechia | 101 1000 t | 2023 | up 94.2% | rising |
| 56 | India | 98 1000 t | 2023 | up 88.5% | volatile |
| 57 | Melanesia | 97 1000 t | 2023 | down 6.7% | falling |
| 58 | Romania | 94 1000 t | 2023 | up 32.4% | rising |
| 59 | Tunisia | 89 1000 t | 2023 | up 67.9% | rising |
| 60 | Belgium | 86 1000 t | 2023 | up 8.9% | falling |
| 61 | Democratic Republic of the Congo | 85 1000 t | 2023 | up 97.7% | rising |
| 62 | Dominican Republic | 79 1000 t | 2023 | up 182.1% | rising |
| 63 | Guatemala | 75 1000 t | 2023 | up 114.3% | rising |
| 64 | Austria | 74 1000 t | 2023 | up 2.8% | flat |
| 65 | Israel | 71 1000 t | 2023 | down 9.0% | rising |
| 66 | Mozambique | 67 1000 t | 2023 | up 644.4% | volatile |
| 67 | Seychelles | 64 1000 t | 2023 | up 4.9% | flat |
| 68 | Libya | 59 1000 t | 2023 | down 41.0% | falling |
| 69 | Costa Rica | 58 1000 t | 2023 | up 152.2% | rising |
| 69 | Malta | 58 1000 t | 2023 | up 141.7% | volatile |
| 69 | Senegal | 58 1000 t | 2023 | up 544.4% | volatile |
| 72 | Honduras | 54 1000 t | 2023 | up 58.8% | rising |
| 73 | Papua New Guinea | 53 1000 t | 2023 | up 103.8% | rising |
| 73 | Democratic People's Republic of Korea | 53 1000 t | 2018 | up 1,666.7% | volatile |
| 75 | Lithuania | 52 1000 t | 2023 | down 37.3% | falling |
| 76 | China, Hong Kong SAR | 50 1000 t | 2023 | up 100.0% | rising |
| 77 | Latvia | 49 1000 t | 2023 | up 6.5% | falling |
| 78 | Croatia | 46 1000 t | 2023 | up 170.6% | rising |
| 79 | Argentina | 45 1000 t | 2023 | unchanged | falling |
| 79 | Morocco | 45 1000 t | 2023 | up 181.2% | rising |
| 81 | Ireland | 44 1000 t | 2023 | up 83.3% | rising |
| 81 | Serbia | 44 1000 t | 2023 | up 57.1% | rising |
| 83 | Haiti | 38 1000 t | 2023 | up 58.3% | rising |
| 84 | Congo | 34 1000 t | 2023 | up 61.9% | rising |
| 84 | Finland | 34 1000 t | 2023 | down 50.0% | falling |
| 84 | Kazakhstan | 34 1000 t | 2023 | down 22.7% | falling |
| 87 | Algeria | 33 1000 t | 2023 | up 26.9% | flat |
| 87 | Jamaica | 33 1000 t | 2023 | up 37.5% | rising |
| 89 | Estonia | 32 1000 t | 2023 | up 33.3% | rising |
| 90 | Cuba | 29 1000 t | 2019 | up 262.5% | rising |
| 90 | Fiji | 29 1000 t | 2023 | down 56.7% | volatile |
| 92 | Gabon | 28 1000 t | 2023 | up 64.7% | rising |
| 93 | Switzerland | 27 1000 t | 2023 | down 18.2% | falling |
| 94 | Bulgaria | 26 1000 t | 2023 | down 16.1% | falling |
| 94 | Madagascar | 26 1000 t | 2023 | down 3.7% | falling |
| 96 | Oman | 25 1000 t | 2023 | up 78.6% | rising |
| 96 | El Salvador | 25 1000 t | 2023 | down 7.4% | rising |
| 98 | Armenia | 23 1000 t | 2023 | up 109.1% | volatile |
| 98 | Hungary | 23 1000 t | 2023 | down 14.8% | falling |
| 98 | Jordan | 23 1000 t | 2023 | down 20.7% | falling |
| 98 | Panama | 23 1000 t | 2023 | up 15.0% | rising |
| 102 | Moldova | 22 1000 t | 2023 | down 21.4% | falling |
| 102 | Republic of Moldova | 22 1000 t | 2023 | down 21.4% | falling |
| 104 | Kuwait | 21 1000 t | 2023 | up 40.0% | rising |
| 105 | Slovakia | 20 1000 t | 2023 | up 11.1% | rising |
| 106 | Namibia | 19 1000 t | 2023 | down 26.9% | falling |
| 106 | Zimbabwe | 19 1000 t | 2023 | down 5.0% | falling |
| 108 | Albania | 18 1000 t | 2023 | up 50.0% | rising |
| 108 | Rwanda | 18 1000 t | 2023 | up 800.0% | volatile |
| 108 | Slovenia | 18 1000 t | 2023 | up 38.5% | rising |
| 111 | Kenya | 16 1000 t | 2023 | down 15.8% | falling |
| 111 | Yemen | 16 1000 t | 2023 | down 42.9% | falling |
| 113 | Nicaragua | 15 1000 t | 2023 | unchanged | flat |
| 113 | New Zealand | 15 1000 t | 2023 | down 16.7% | falling |
| 113 | Polynesia | 15 1000 t | 2023 | up 114.3% | rising |
| 113 | Venezuela (Bolivarian Republic of) | 15 1000 t | 2023 | down 83.1% | volatile |
| 117 | Iraq | 13 1000 t | 2023 | up 160.0% | rising |
| 117 | Laos | 13 1000 t | 2023 | — | volatile |
| 117 | Qatar | 13 1000 t | 2023 | — | flat |
| 117 | Lao People's Democratic Republic | 13 1000 t | 2023 | — | volatile |
| 121 | Angola | 12 1000 t | 2023 | down 93.9% | volatile |
| 121 | Azerbaijan | 12 1000 t | 2023 | down 25.0% | falling |
| 121 | Bosnia and Herzegovina | 12 1000 t | 2023 | up 50.0% | rising |
| 121 | Lebanon | 12 1000 t | 2023 | down 52.0% | falling |
| 121 | Liberia | 12 1000 t | 2023 | up 100.0% | volatile |
| 121 | Iran (Islamic Republic of) | 12 1000 t | 2023 | down 64.7% | volatile |
| 127 | Georgia | 11 1000 t | 2023 | down 15.4% | falling |
| 128 | Bahrain | 10 1000 t | 2023 | — | flat |
| 128 | Barbados | 10 1000 t | 2023 | up 100.0% | rising |
| 128 | Uzbekistan | 10 1000 t | 2023 | down 63.0% | falling |
| 128 | Samoa | 10 1000 t | 2023 | up 100.0% | rising |
| 132 | New Caledonia | 9 1000 t | 2023 | up 12.5% | falling |
| 133 | Cyprus | 8 1000 t | 2023 | down 33.3% | falling |
| 133 | Nepal | 8 1000 t | 2023 | down 33.3% | volatile |
| 133 | Syria | 8 1000 t | 2023 | down 75.0% | falling |
| 133 | Trinidad and Tobago | 8 1000 t | 2023 | down 50.0% | falling |
| 133 | Uruguay | 8 1000 t | 2023 | up 14.3% | rising |
| 133 | Micronesia | 8 1000 t | 2023 | — | volatile |
| 133 | Syrian Arab Republic | 8 1000 t | 2023 | down 75.0% | falling |
| 140 | Iceland | 7 1000 t | 2023 | up 40.0% | volatile |
| 141 | Botswana | 6 1000 t | 2023 | unchanged | rising |
| 141 | Cambodia | 6 1000 t | 2023 | up 200.0% | rising |
| 141 | North Macedonia | 6 1000 t | 2023 | up 20.0% | rising |
| 144 | Kyrgyzstan | 5 1000 t | 2023 | down 44.4% | falling |
| 144 | Sierra Leone | 5 1000 t | 2023 | up 150.0% | rising |
| 144 | Vanuatu | 5 1000 t | 2023 | up 66.7% | rising |
| 147 | Bahamas | 4 1000 t | 2023 | down 20.0% | falling |
| 147 | Guinea | 4 1000 t | 2023 | up 33.3% | rising |
| 147 | Gambia | 4 1000 t | 2023 | up 33.3% | falling |
| 147 | Mauritania | 4 1000 t | 2023 | down 33.3% | falling |
| 147 | Paraguay | 4 1000 t | 2023 | up 33.3% | rising |
| 147 | Suriname | 4 1000 t | 2023 | up 33.3% | rising |
| 153 | Comoros | 3 1000 t | 2023 | up 200.0% | volatile |
| 153 | Djibouti | 3 1000 t | 2023 | up 200.0% | volatile |
| 153 | Ethiopia | 3 1000 t | 2023 | up 200.0% | rising |
| 153 | Guinea-Bissau | 3 1000 t | 2023 | up 200.0% | volatile |
| 153 | Guyana | 3 1000 t | 2023 | unchanged | rising |
| 153 | Luxembourg | 3 1000 t | 2023 | unchanged | flat |
| 153 | Marshall Islands | 3 1000 t | 2023 | — | volatile |
| 153 | Myanmar | 3 1000 t | 2023 | down 57.1% | falling |
| 153 | Mongolia | 3 1000 t | 2023 | up 50.0% | rising |
| 153 | East Timor | 3 1000 t | 2023 | up 50.0% | rising |
| 153 | Uganda | 3 1000 t | 2023 | up 200.0% | volatile |
| 153 | Timor-Leste | 3 1000 t | 2023 | up 50.0% | rising |
| 153 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | down 40.0% | falling |
| 153 | Micronesia (Federated States of) | 3 1000 t | 2023 | — | falling |
| 167 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 167 | Lesotho | 2 1000 t | 2023 | unchanged | flat |
| 167 | Maldives | 2 1000 t | 2023 | unchanged | falling |
| 167 | Montenegro | 2 1000 t | 2023 | unchanged | rising |
| 167 | Malawi | 2 1000 t | 2023 | up 100.0% | rising |
| 167 | Niger | 2 1000 t | 2023 | unchanged | volatile |
| 167 | French Polynesia | 2 1000 t | 2023 | down 33.3% | falling |
| 167 | Eswatini | 2 1000 t | 2023 | up 100.0% | rising |
| 167 | Turkmenistan | 2 1000 t | 2023 | down 33.3% | falling |
| 167 | Tonga | 2 1000 t | 2023 | — | flat |
| 177 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | flat |
| 177 | Grenada | 1 1000 t | 2023 | — | rising |
| 177 | Kiribati | 1 1000 t | 2023 | — | rising |
| 177 | Saint Lucia | 1 1000 t | 2023 | unchanged | rising |
| 177 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 177 | Tajikistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 177 | United Republic of Tanzania | 1 1000 t | 2023 | down 88.9% | volatile |
| 177 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 185 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 185 | Pakistan | 0 1000 t | 2023 | 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 31,951 1000 t
- Asia 17,341 1000 t
- Eastern Asia 12,444 1000 t
- Europe 8,360 1000 t
- European Union (27) 5,864 1000 t
- Africa 3,273 1000 t
- South-Eastern Asia 3,071 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,738 1000 t
- Americas 2,606 1000 t
- Northern Europe 2,588 1000 t
- Southern Europe 2,335 1000 t
- Western Europe 2,054 1000 t
- Western Africa 1,765 1000 t
- Western Asia 1,390 1000 t
- Eastern Europe 1,383 1000 t
- Northern America 1,158 1000 t
- Least Developed Countries (LDCs) 1,057 1000 t
- Low Income Food Deficit Countries (LIFDCs) 991 1000 t
- South America 895 1000 t
- United States of America 837 1000 t
- Small island developing States (SIDS) 563 1000 t
- Land Locked Developing Countries (LLDCs) 527 1000 t
- Eastern Africa 518 1000 t
- Northern Africa 507 1000 t
- Southern Asia 384 1000 t
- Oceania 370 1000 t
- Central America 367 1000 t
- Middle Africa 294 1000 t
- Southern Africa 189 1000 t
- Central Asia 52 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.