Marine Fish, Other — Export 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 — Export quantity is currently reported for 94 countries. The highest value is 1,312 1000 t in Vietnam; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 2 1000 t, and the mean is 65.85 1000 t.
Over the past decade 25 countries rose and 36 fell. The largest increase was in Iran (Islamic Republic of) (up 1,200.0%), and the largest decrease in Costa Rica (down 100.0%).
Marine Fish, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Vietnam | 1,312 1000 t | 2023 | up 38.0% | rising |
| 1 | Viet Nam | 1,312 1000 t | 2023 | up 38.0% | rising |
| 3 | China | 937 1000 t | 2023 | down 51.8% | falling |
| 4 | China, mainland | 827 1000 t | 2023 | down 52.2% | falling |
| 5 | Myanmar | 589 1000 t | 2023 | up 39.2% | rising |
| 6 | Thailand | 415 1000 t | 2023 | down 10.8% | rising |
| 7 | Indonesia | 189 1000 t | 2023 | down 16.4% | falling |
| 8 | Malaysia | 98 1000 t | 2023 | up 92.2% | rising |
| 9 | China, Hong Kong SAR | 70 1000 t | 2023 | down 59.3% | falling |
| 10 | Mexico | 47 1000 t | 2023 | up 62.1% | rising |
| 11 | China, Taiwan Province of | 40 1000 t | 2023 | down 7.0% | rising |
| 12 | Mauritania | 33 1000 t | 2023 | up 450.0% | volatile |
| 13 | Belarus | 29 1000 t | 2023 | up 81.2% | rising |
| 14 | United Arab Emirates | 20 1000 t | 2023 | up 400.0% | volatile |
| 14 | Brazil | 20 1000 t | 2023 | up 185.7% | rising |
| 16 | Spain | 18 1000 t | 2023 | up 12.5% | volatile |
| 17 | Guyana | 15 1000 t | 2023 | up 7.1% | rising |
| 17 | Madagascar | 15 1000 t | 2023 | up 7.1% | falling |
| 19 | Portugal | 14 1000 t | 2023 | down 46.2% | falling |
| 20 | Iran (Islamic Republic of) | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 21 | Philippines | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 22 | Suriname | 11 1000 t | 2023 | down 31.2% | falling |
| 23 | Germany | 10 1000 t | 2023 | down 9.1% | falling |
| 23 | India | 10 1000 t | 2023 | down 87.8% | volatile |
| 25 | Belgium | 8 1000 t | 2023 | down 11.1% | falling |
| 25 | Bangladesh | 8 1000 t | 2023 | down 11.1% | falling |
| 25 | France | 8 1000 t | 2023 | down 11.1% | falling |
| 25 | Italy | 8 1000 t | 2023 | unchanged | falling |
| 25 | Democratic People's Republic of Korea | 8 1000 t | 2018 | down 38.5% | falling |
| 30 | Australia | 6 1000 t | 2023 | up 200.0% | rising |
| 30 | Australia and New Zealand | 6 1000 t | 2023 | up 200.0% | rising |
| 32 | Greece | 5 1000 t | 2023 | up 25.0% | falling |
| 32 | Saudi Arabia | 5 1000 t | 2023 | — | volatile |
| 32 | Sweden | 5 1000 t | 2023 | up 25.0% | falling |
| 35 | Panama | 4 1000 t | 2023 | — | volatile |
| 35 | El Salvador | 4 1000 t | 2023 | up 300.0% | volatile |
| 35 | Trinidad and Tobago | 4 1000 t | 2023 | up 300.0% | rising |
| 35 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 35 | Republic of Korea | 4 1000 t | 2023 | down 33.3% | falling |
| 40 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 40 | Cambodia | 3 1000 t | 2023 | unchanged | falling |
| 40 | Mozambique | 3 1000 t | 2023 | down 72.7% | volatile |
| 40 | Rwanda | 3 1000 t | 2023 | — | volatile |
| 40 | Seychelles | 3 1000 t | 2023 | — | volatile |
| 45 | Canada | 2 1000 t | 2023 | down 60.0% | volatile |
| 45 | Cote d'Ivoire | 2 1000 t | 2023 | unchanged | volatile |
| 45 | Egypt | 2 1000 t | 2023 | — | volatile |
| 45 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 45 | Morocco | 2 1000 t | 2023 | up 100.0% | rising |
| 45 | Mauritius | 2 1000 t | 2023 | — | volatile |
| 45 | Peru | 2 1000 t | 2023 | — | volatile |
| 45 | Romania | 2 1000 t | 2023 | up 100.0% | rising |
| 45 | South Africa | 2 1000 t | 2023 | down 33.3% | falling |
| 45 | Melanesia | 2 1000 t | 2023 | down 75.0% | volatile |
| 45 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | volatile |
| 56 | Austria | 1 1000 t | 2023 | down 50.0% | falling |
| 56 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 56 | Honduras | 1 1000 t | 2023 | — | volatile |
| 56 | Kenya | 1 1000 t | 2023 | unchanged | rising |
| 56 | Sri Lanka | 1 1000 t | 2023 | — | volatile |
| 56 | Oman | 1 1000 t | 2023 | — | volatile |
| 56 | Uruguay | 1 1000 t | 2017 | unchanged | falling |
| 56 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 56 | Samoa | 1 1000 t | 2023 | down 66.7% | volatile |
| 56 | Polynesia | 1 1000 t | 2023 | down 75.0% | volatile |
| 66 | Albania | 0 1000 t | 2023 | — | volatile |
| 66 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 66 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 66 | Colombia | 0 1000 t | 2023 | — | volatile |
| 66 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 66 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Fiji | 0 1000 t | 2023 | — | volatile |
| 66 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Georgia | 0 1000 t | 2023 | — | volatile |
| 66 | Ghana | 0 1000 t | 2023 | — | volatile |
| 66 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Guinea-Bissau | 0 1000 t | 2017 | down 100.0% | falling |
| 66 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Israel | 0 1000 t | 2023 | — | volatile |
| 66 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 66 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Latvia | 0 1000 t | 2023 | — | volatile |
| 66 | Maldives | 0 1000 t | 2023 | — | volatile |
| 66 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 66 | Namibia | 0 1000 t | 2023 | — | volatile |
| 66 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 66 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 66 | United Kingdom of Great Britain and Northern Ireland | 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 4,000 1000 t
- Asia 3,689 1000 t
- South-Eastern Asia 2,618 1000 t
- Eastern Asia 1,009 1000 t
- Net Food Importing Developing Countries (NFIDCs) 690 1000 t
- Least Developed Countries (LDCs) 667 1000 t
- Europe 112 1000 t
- Americas 110 1000 t
- European Union (27) 81 1000 t
- Africa 80 1000 t
- Low Income Food Deficit Countries (LIFDCs) 68 1000 t
- Central America 56 1000 t
- South America 48 1000 t
- Southern Europe 46 1000 t
- Western Africa 43 1000 t
- Small island developing States (SIDS) 38 1000 t
- Eastern Europe 34 1000 t
- Southern Asia 32 1000 t
- Eastern Africa 30 1000 t
- Western Asia 28 1000 t
- Western Europe 27 1000 t
- Land Locked Developing Countries (LLDCs) 13 1000 t
- Oceania 9 1000 t
- Northern Africa 5 1000 t
- Northern Europe 5 1000 t
- Northern America 2 1000 t
- Central Asia 2 1000 t
- Southern Africa 2 1000 t
- Middle Africa 0 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.