Marine Fish, Other — Domestic supply 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
Marine Fish, Other — Domestic supply quantity is currently reported for 163 countries. The highest value is 2,735 1000 t in China (People’s Republic of); the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 3 1000 t, and the mean is 56.43 1000 t.
Over the past decade 38 countries rose and 67 fell. The largest increase was in Senegal (up 700.0%), and the largest decrease in Armenia (down 100.0%).
Marine Fish, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China (People’s Republic of) | 2,735 1000 t | 2023 | up 112.2% | rising |
| 2 | China, mainland | 2,541 1000 t | 2023 | up 124.9% | rising |
| 3 | India | 480 1000 t | 2023 | up 17.6% | flat |
| 4 | Myanmar | 360 1000 t | 2023 | down 37.5% | falling |
| 5 | Malaysia | 312 1000 t | 2023 | down 13.1% | falling |
| 6 | Bangladesh | 296 1000 t | 2023 | up 44.4% | rising |
| 7 | Indonesia | 241 1000 t | 2023 | down 32.1% | volatile |
| 8 | Mozambique, Republic of | 229 1000 t | 2023 | up 45.9% | rising |
| 9 | Thailand | 198 1000 t | 2023 | up 127.6% | rising |
| 10 | China, Hong Kong SAR | 139 1000 t | 2023 | up 44.8% | flat |
| 11 | Cambodia | 124 1000 t | 2023 | up 59.0% | rising |
| 12 | Peru | 114 1000 t | 2023 | up 21.3% | rising |
| 13 | Italy | 90 1000 t | 2023 | up 40.6% | rising |
| 14 | Nigeria | 85 1000 t | 2023 | up 28.8% | rising |
| 15 | Philippines | 84 1000 t | 2023 | up 211.1% | volatile |
| 16 | Cameroon | 82 1000 t | 2023 | up 7.9% | rising |
| 17 | Spain | 59 1000 t | 2023 | down 20.3% | falling |
| 18 | Australia | 53 1000 t | 2023 | up 3.9% | flat |
| 18 | Burkina Faso | 53 1000 t | 2023 | up 6.0% | rising |
| 18 | Australia and New Zealand | 53 1000 t | 2023 | up 3.9% | flat |
| 21 | Madagascar | 48 1000 t | 2023 | up 60.0% | rising |
| 22 | Republic of Korea | 47 1000 t | 2023 | down 32.9% | falling |
| 22 | China, Taiwan Province of | 47 1000 t | 2023 | down 13.0% | falling |
| 24 | Saudi Arabia | 40 1000 t | 2023 | up 90.5% | rising |
| 25 | Germany | 31 1000 t | 2023 | up 3.3% | falling |
| 25 | Jamaica | 31 1000 t | 2023 | down 16.2% | falling |
| 27 | Pakistan | 24 1000 t | 2023 | up 50.0% | rising |
| 27 | Rwanda | 24 1000 t | 2023 | down 11.1% | rising |
| 29 | Brazil | 22 1000 t | 2023 | down 80.2% | volatile |
| 30 | Mexico | 21 1000 t | 2023 | down 19.2% | volatile |
| 31 | Egypt | 20 1000 t | 2023 | down 23.1% | volatile |
| 32 | Portugal | 19 1000 t | 2023 | up 11.8% | falling |
| 33 | Oman | 18 1000 t | 2023 | up 260.0% | rising |
| 34 | Angola | 17 1000 t | 2023 | down 78.5% | volatile |
| 34 | Dominican Republic | 17 1000 t | 2023 | up 70.0% | rising |
| 34 | Uganda | 17 1000 t | 2023 | — | volatile |
| 37 | Georgia | 16 1000 t | 2023 | up 128.6% | rising |
| 37 | Haiti | 16 1000 t | 2023 | up 6.7% | rising |
| 37 | Senegal | 16 1000 t | 2023 | up 700.0% | volatile |
| 40 | Greece | 15 1000 t | 2023 | up 50.0% | flat |
| 41 | Suriname | 14 1000 t | 2023 | up 40.0% | rising |
| 42 | Switzerland | 13 1000 t | 2023 | down 7.1% | flat |
| 43 | Ghana | 12 1000 t | 2023 | up 140.0% | flat |
| 43 | Sri Lanka | 12 1000 t | 2023 | down 47.8% | falling |
| 45 | Latvia, Republic of | 11 1000 t | 2023 | unchanged | rising |
| 45 | Morocco | 11 1000 t | 2023 | down 77.6% | falling |
| 45 | Sierra Leone | 11 1000 t | 2023 | down 21.4% | falling |
| 48 | Colombia | 10 1000 t | 2023 | down 23.1% | falling |
| 48 | Jordan | 10 1000 t | 2023 | down 28.6% | falling |
| 50 | Belize | 9 1000 t | 2023 | — | volatile |
| 50 | Kuwait | 9 1000 t | 2023 | up 80.0% | falling |
| 50 | China, Macao SAR | 9 1000 t | 2023 | unchanged | falling |
| 53 | France | 8 1000 t | 2023 | down 27.3% | falling |
| 53 | Liberia | 8 1000 t | 2023 | down 11.1% | rising |
| 55 | Belgium | 7 1000 t | 2023 | unchanged | falling |
| 55 | Canada | 7 1000 t | 2023 | unchanged | volatile |
| 55 | Finland | 7 1000 t | 2023 | unchanged | falling |
| 55 | Sweden | 7 1000 t | 2023 | up 16.7% | rising |
| 55 | Trinidad and Tobago | 7 1000 t | 2023 | down 22.2% | falling |
| 60 | Kazakhstan, Republic of | 6 1000 t | 2023 | down 33.3% | falling |
| 60 | Mauritania, Islamic Republic of | 6 1000 t | 2023 | up 100.0% | rising |
| 60 | Ukraine | 6 1000 t | 2023 | down 94.2% | volatile |
| 60 | Russian Federation | 6 1000 t | 2023 | — | volatile |
| 64 | Austria | 5 1000 t | 2023 | down 16.7% | falling |
| 64 | Czech Republic | 5 1000 t | 2023 | down 16.7% | falling |
| 64 | Guyana | 5 1000 t | 2023 | up 25.0% | volatile |
| 64 | Lebanon | 5 1000 t | 2023 | down 37.5% | volatile |
| 64 | Panama | 5 1000 t | 2023 | down 44.4% | volatile |
| 64 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | unchanged | falling |
| 70 | Bahrain, Kingdom of | 4 1000 t | 2023 | — | flat |
| 70 | Cuba | 4 1000 t | 2019 | down 69.2% | falling |
| 70 | Mauritius | 4 1000 t | 2023 | down 33.3% | falling |
| 70 | Romania | 4 1000 t | 2023 | down 42.9% | falling |
| 70 | Tunisia | 4 1000 t | 2023 | down 33.3% | flat |
| 70 | Samoa | 4 1000 t | 2023 | up 33.3% | falling |
| 76 | United Arab Emirates | 3 1000 t | 2023 | down 94.0% | volatile |
| 76 | Bosnia and Herzegovina | 3 1000 t | 2023 | up 200.0% | flat |
| 76 | Belarus, Republic of | 3 1000 t | 2023 | down 75.0% | volatile |
| 76 | Bhutan | 3 1000 t | 2023 | — | rising |
| 76 | Costa Rica | 3 1000 t | 2023 | up 50.0% | volatile |
| 76 | Ecuador | 3 1000 t | 2023 | — | volatile |
| 76 | Guinea-Bissau | 3 1000 t | 2023 | down 25.0% | rising |
| 76 | Honduras | 3 1000 t | 2023 | unchanged | falling |
| 76 | Marshall Islands, Republic of the | 3 1000 t | 2023 | — | rising |
| 76 | Malawi | 3 1000 t | 2023 | down 25.0% | flat |
| 76 | Nicaragua | 3 1000 t | 2023 | — | volatile |
| 76 | Papua New Guinea | 3 1000 t | 2023 | unchanged | flat |
| 76 | French Polynesia | 3 1000 t | 2023 | down 25.0% | falling |
| 76 | Qatar | 3 1000 t | 2023 | — | flat |
| 76 | El Salvador | 3 1000 t | 2023 | down 75.0% | volatile |
| 76 | South Africa | 3 1000 t | 2023 | down 50.0% | falling |
| 92 | Antigua and Barbuda | 2 1000 t | 2023 | unchanged | flat |
| 92 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Barbados | 2 1000 t | 2023 | down 33.3% | falling |
| 92 | Congo, Republic of | 2 1000 t | 2023 | down 60.0% | volatile |
| 92 | Comoros, Union of the | 2 1000 t | 2023 | down 60.0% | falling |
| 92 | Guatemala | 2 1000 t | 2023 | down 88.9% | volatile |
| 92 | Iraq | 2 1000 t | 2023 | down 90.0% | volatile |
| 92 | Israel | 2 1000 t | 2023 | unchanged | rising |
| 92 | North Macedonia, Republic of | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Malta | 2 1000 t | 2023 | unchanged | rising |
| 92 | Nepal | 2 1000 t | 2023 | down 66.7% | falling |
| 92 | Solomon Islands | 2 1000 t | 2023 | down 75.0% | volatile |
| 92 | Slovak Republic | 2 1000 t | 2023 | unchanged | falling |
| 92 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 92 | Zambia | 2 1000 t | 2023 | down 75.0% | volatile |
| 107 | Albania | 1 1000 t | 2023 | down 50.0% | volatile |
| 107 | Azerbaijan, Republic of | 1 1000 t | 2023 | down 66.7% | volatile |
| 107 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 107 | Algeria | 1 1000 t | 2023 | down 88.9% | volatile |
| 107 | Gabon | 1 1000 t | 2023 | down 90.0% | volatile |
| 107 | Gambia | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Grenada | 1 1000 t | 2023 | — | volatile |
| 107 | Hungary | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Kiribati | 1 1000 t | 2023 | down 50.0% | volatile |
| 107 | St. Kitts and Nevis | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Libya | 1 1000 t | 2023 | down 66.7% | volatile |
| 107 | St. Lucia | 1 1000 t | 2023 | unchanged | rising |
| 107 | Luxembourg | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Maldives | 1 1000 t | 2023 | down 75.0% | volatile |
| 107 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 107 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 107 | New Caledonia | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Niger | 1 1000 t | 2023 | unchanged | flat |
| 107 | Serbia, Republic of | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Slovenia, Republic of | 1 1000 t | 2023 | unchanged | flat |
| 107 | Eswatini, Kingdom of | 1 1000 t | 2023 | — | volatile |
| 107 | Tonga | 1 1000 t | 2023 | — | flat |
| 107 | Tuvalu | 1 1000 t | 2023 | — | flat |
| 107 | Uzbekistan, Republic of | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Vanuatu | 1 1000 t | 2023 | down 66.7% | falling |
| 107 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 133 | Afghanistan, Islamic Republic of | 0 1000 t | 2023 | — | flat |
| 133 | Argentina | 0 1000 t | 2023 | — | volatile |
| 133 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Bahamas, The | 0 1000 t | 2023 | — | volatile |
| 133 | Botswana | 0 1000 t | 2023 | — | volatile |
| 133 | Chile | 0 1000 t | 2023 | — | volatile |
| 133 | Djibouti | 0 1000 t | 2023 | — | flat |
| 133 | Denmark | 0 1000 t | 2023 | — | flat |
| 133 | Estonia, Republic of | 0 1000 t | 2023 | — | flat |
| 133 | Ethiopia, The Federal Democratic Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Fiji, Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Croatia, Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Ireland | 0 1000 t | 2023 | — | flat |
| 133 | Iceland | 0 1000 t | 2023 | — | flat |
| 133 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Lesotho, Kingdom of | 0 1000 t | 2023 | — | volatile |
| 133 | Lithuania, Republic of | 0 1000 t | 2023 | — | volatile |
| 133 | Namibia | 0 1000 t | 2023 | — | volatile |
| 133 | Norway | 0 1000 t | 2023 | — | flat |
| 133 | Nauru, Republic of | 0 1000 t | 2023 | — | flat |
| 133 | New Zealand | 0 1000 t | 2023 | — | flat |
| 133 | Poland, Republic of | 0 1000 t | 2023 | — | flat |
| 133 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 133 | São Tomé and Príncipe, Democratic Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Seychelles | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Tajikistan, Republic of | 0 1000 t | 2023 | — | volatile |
| 133 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 133 | St. Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Netherlands (Kingdom of the) | 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 9,484 1000 t
- Asia 7,522 1000 t
- Eastern Asia 3,558 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,773 1000 t
- South-eastern Asia 3,017 1000 t
- Low Income Food Deficit Countries (LIFDCs) 762 1000 t
- Americas 650 1000 t
- Northern America 336 1000 t
- United States of America 330 1000 t
- Southern Asia 818 1000 t
- European Union (27) 279 1000 t
- Land Locked Developing Countries (LLDCs) 199 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.