Marine Fish, Other — Production 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
Marine Fish, Other — Production is currently reported for 124 countries. The highest value is 3,029 1000 t in China; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 3 1000 t, and the mean is 122.68 1000 t.
Over the past decade 29 countries rose and 58 fell. The largest increase was in United States (up 6,500.0%), and the largest decrease in Algeria (down 100.0%).
Marine Fish, Other — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,029 1000 t | 2023 | up 13.8% | rising |
| 2 | China, mainland | 2,935 1000 t | 2023 | up 16.4% | rising |
| 3 | Vietnam | 2,388 1000 t | 2023 | up 44.1% | rising |
| 3 | Viet Nam | 2,388 1000 t | 2023 | up 44.1% | rising |
| 5 | Myanmar | 917 1000 t | 2023 | down 8.1% | falling |
| 6 | India | 486 1000 t | 2023 | up 1.7% | falling |
| 7 | Thailand | 451 1000 t | 2023 | down 7.4% | falling |
| 8 | Indonesia | 413 1000 t | 2023 | down 28.0% | rising |
| 9 | United States | 330 1000 t | 2023 | up 6,500.0% | volatile |
| 10 | Malaysia | 269 1000 t | 2023 | down 18.0% | falling |
| 11 | Bangladesh | 238 1000 t | 2023 | up 48.8% | rising |
| 12 | Mozambique | 230 1000 t | 2023 | up 90.1% | rising |
| 13 | Democratic People's Republic of Korea | 110 1000 t | 2018 | down 3.5% | flat |
| 14 | Cambodia | 99 1000 t | 2023 | up 25.3% | rising |
| 15 | Peru | 94 1000 t | 2023 | up 9.3% | rising |
| 16 | China, Hong Kong SAR | 69 1000 t | 2023 | down 33.0% | falling |
| 17 | Madagascar | 62 1000 t | 2023 | up 40.9% | flat |
| 18 | Nigeria | 54 1000 t | 2023 | up 63.6% | rising |
| 19 | Mexico | 52 1000 t | 2023 | up 79.3% | falling |
| 20 | Mauritania | 39 1000 t | 2023 | up 333.3% | volatile |
| 21 | Philippines | 37 1000 t | 2023 | up 146.7% | rising |
| 22 | Caribbean | 35 1000 t | 2023 | down 12.5% | falling |
| 23 | Brazil | 29 1000 t | 2023 | down 17.1% | falling |
| 24 | Republic of Korea | 25 1000 t | 2023 | down 54.5% | falling |
| 25 | Pakistan | 24 1000 t | 2023 | up 33.3% | rising |
| 25 | Suriname | 24 1000 t | 2023 | down 7.7% | falling |
| 27 | China, Taiwan Province of | 23 1000 t | 2023 | down 36.1% | falling |
| 28 | Guyana | 19 1000 t | 2023 | down 13.6% | falling |
| 29 | Angola | 16 1000 t | 2023 | down 79.5% | volatile |
| 29 | Senegal | 16 1000 t | 2023 | up 700.0% | volatile |
| 31 | Australia | 15 1000 t | 2023 | up 25.0% | flat |
| 31 | Haiti | 15 1000 t | 2023 | unchanged | rising |
| 31 | Micronesia | 15 1000 t | 2023 | up 650.0% | volatile |
| 31 | Australia and New Zealand | 15 1000 t | 2023 | up 25.0% | flat |
| 35 | Iran (Islamic Republic of) | 14 1000 t | 2023 | down 46.2% | falling |
| 36 | Cameroon | 13 1000 t | 2023 | up 116.7% | rising |
| 36 | Georgia | 13 1000 t | 2023 | — | volatile |
| 38 | Sri Lanka | 12 1000 t | 2023 | down 47.8% | falling |
| 38 | Morocco | 12 1000 t | 2023 | down 74.5% | falling |
| 40 | Sierra Leone | 11 1000 t | 2023 | down 21.4% | falling |
| 41 | Polynesia | 10 1000 t | 2023 | down 9.1% | flat |
| 41 | Micronesia (Federated States of) | 10 1000 t | 2023 | — | flat |
| 43 | Belize | 9 1000 t | 2023 | up 800.0% | volatile |
| 44 | Ghana | 7 1000 t | 2023 | up 75.0% | volatile |
| 44 | Jamaica | 7 1000 t | 2023 | down 46.2% | falling |
| 44 | El Salvador | 7 1000 t | 2023 | down 46.2% | falling |
| 47 | Russia | 6 1000 t | 2023 | — | volatile |
| 47 | Trinidad and Tobago | 6 1000 t | 2023 | unchanged | flat |
| 47 | Russian Federation | 6 1000 t | 2023 | — | volatile |
| 50 | Greece | 5 1000 t | 2023 | down 16.7% | falling |
| 50 | Samoa | 5 1000 t | 2023 | down 16.7% | falling |
| 52 | Colombia | 4 1000 t | 2023 | down 42.9% | volatile |
| 52 | Cuba | 4 1000 t | 2019 | unchanged | rising |
| 52 | Latvia | 4 1000 t | 2023 | up 100.0% | rising |
| 52 | Nicaragua | 4 1000 t | 2023 | — | volatile |
| 52 | Oman | 4 1000 t | 2023 | up 100.0% | volatile |
| 52 | Panama | 4 1000 t | 2023 | down 33.3% | volatile |
| 52 | Tunisia | 4 1000 t | 2023 | down 33.3% | flat |
| 52 | South Africa | 4 1000 t | 2023 | down 50.0% | falling |
| 52 | Melanesia | 4 1000 t | 2023 | down 88.6% | volatile |
| 61 | Ecuador | 3 1000 t | 2023 | — | volatile |
| 61 | Guinea-Bissau | 3 1000 t | 2023 | down 50.0% | falling |
| 61 | Honduras | 3 1000 t | 2023 | unchanged | rising |
| 61 | Marshall Islands | 3 1000 t | 2023 | — | flat |
| 61 | Mauritius | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | French Polynesia | 3 1000 t | 2023 | down 40.0% | falling |
| 61 | Seychelles | 3 1000 t | 2023 | up 50.0% | volatile |
| 68 | United Arab Emirates | 2 1000 t | 2023 | down 33.3% | falling |
| 68 | Canada | 2 1000 t | 2023 | down 50.0% | volatile |
| 68 | Cote d'Ivoire | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | Congo | 2 1000 t | 2023 | down 60.0% | volatile |
| 68 | Comoros | 2 1000 t | 2023 | down 60.0% | falling |
| 68 | Costa Rica | 2 1000 t | 2023 | down 33.3% | falling |
| 68 | Dominican Republic | 2 1000 t | 2023 | — | volatile |
| 68 | Papua New Guinea | 2 1000 t | 2023 | down 50.0% | falling |
| 68 | Qatar | 2 1000 t | 2023 | — | flat |
| 68 | Uruguay | 2 1000 t | 2023 | unchanged | falling |
| 68 | Vanuatu | 2 1000 t | 2023 | unchanged | flat |
| 68 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | United Republic of Tanzania | 2 1000 t | 2023 | down 66.7% | volatile |
| 81 | Egypt | 1 1000 t | 2023 | down 87.5% | volatile |
| 81 | Finland | 1 1000 t | 2023 | — | volatile |
| 81 | France | 1 1000 t | 2023 | unchanged | volatile |
| 81 | Gabon | 1 1000 t | 2023 | down 75.0% | volatile |
| 81 | Gambia | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Italy | 1 1000 t | 2023 | down 75.0% | volatile |
| 81 | Liberia | 1 1000 t | 2023 | down 75.0% | volatile |
| 81 | Saint Lucia | 1 1000 t | 2023 | — | volatile |
| 81 | East Timor | 1 1000 t | 2023 | down 66.7% | volatile |
| 81 | Tonga | 1 1000 t | 2023 | — | flat |
| 81 | Tuvalu | 1 1000 t | 2023 | — | flat |
| 81 | Ukraine | 1 1000 t | 2023 | down 98.9% | volatile |
| 81 | Timor-Leste | 1 1000 t | 2023 | down 66.7% | volatile |
| 81 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 81 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 96 | Albania | 0 1000 t | 2023 | — | volatile |
| 96 | Argentina | 0 1000 t | 2023 | — | volatile |
| 96 | Chile | 0 1000 t | 2023 | — | volatile |
| 96 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 96 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 96 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Israel | 0 1000 t | 2023 | — | volatile |
| 96 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Kiribati | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 96 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 96 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 96 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Malta | 0 1000 t | 2023 | — | volatile |
| 96 | Portugal | 0 1000 t | 2023 | — | volatile |
| 96 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Turkey | 0 1000 t | 2023 | — | volatile |
| 96 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 96 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 96 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 96 | United Kingdom of Great Britain and Northern Ireland | 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 9,920 1000 t
- Asia 8,714 1000 t
- South-Eastern Asia 4,573 1000 t
- Eastern Asia 3,343 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,875 1000 t
- Least Developed Countries (LDCs) 1,685 1000 t
- Southern Asia 773 1000 t
- Americas 622 1000 t
- Low Income Food Deficit Countries (LIFDCs) 544 1000 t
- Africa 522 1000 t
- Northern America 332 1000 t
- Eastern Africa 331 1000 t
- United States of America 330 1000 t
- South America 176 1000 t
- Western Africa 133 1000 t
- Small island developing States (SIDS) 124 1000 t
- Central America 80 1000 t
- Oceania 43 1000 t
- Middle Africa 33 1000 t
- Western Asia 25 1000 t
- Northern Africa 20 1000 t
- Europe 19 1000 t
- European Union (27) 13 1000 t
- Southern Europe 7 1000 t
- Eastern Europe 6 1000 t
- Northern Europe 5 1000 t
- Southern Africa 4 1000 t
- Western Europe 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.