Molluscs, 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
Molluscs, Other — Export quantity is currently reported for 159 countries. The highest value is 1,338 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 28.42 1000 t.
Over the past decade 26 countries rose and 20 fell. The largest increase was in Russian Federation (up 800.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Molluscs, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,338 1000 t | 2023 | up 13.7% | falling |
| 2 | China, mainland | 1,316 1000 t | 2023 | up 18.3% | falling |
| 3 | Chile | 240 1000 t | 2023 | down 9.1% | falling |
| 4 | Viet Nam | 202 1000 t | 2023 | up 220.6% | rising |
| 5 | Spain | 192 1000 t | 2023 | up 118.2% | rising |
| 6 | Thailand | 130 1000 t | 2023 | up 27.5% | rising |
| 7 | Australia and New Zealand | 110 1000 t | 2023 | up 4.8% | falling |
| 8 | New Zealand | 97 1000 t | 2023 | up 9.0% | flat |
| 8 | Netherlands (Kingdom of the) | 97 1000 t | 2023 | up 2.1% | rising |
| 10 | Canada | 89 1000 t | 2023 | up 11.2% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 68 1000 t | 2023 | down 17.1% | falling |
| 12 | Republic of Korea | 66 1000 t | 2023 | up 17.9% | rising |
| 13 | Denmark | 58 1000 t | 2023 | up 20.8% | rising |
| 13 | France | 58 1000 t | 2023 | up 87.1% | rising |
| 15 | Democratic People's Republic of Korea | 55 1000 t | 2017 | up 10.0% | falling |
| 16 | Italy | 45 1000 t | 2023 | down 2.2% | falling |
| 17 | Germany | 42 1000 t | 2023 | up 110.0% | rising |
| 18 | Ireland | 34 1000 t | 2023 | up 13.3% | flat |
| 19 | Portugal | 31 1000 t | 2023 | up 10.7% | rising |
| 20 | Indonesia | 27 1000 t | 2023 | up 28.6% | rising |
| 20 | Russian Federation | 27 1000 t | 2023 | up 800.0% | volatile |
| 22 | Belgium | 19 1000 t | 2023 | down 34.5% | falling |
| 23 | Greece | 17 1000 t | 2023 | up 13.3% | rising |
| 24 | India | 16 1000 t | 2023 | up 220.0% | rising |
| 25 | China, Hong Kong SAR | 15 1000 t | 2023 | down 63.4% | falling |
| 26 | Mexico | 14 1000 t | 2023 | up 16.7% | falling |
| 27 | Australia | 13 1000 t | 2023 | down 18.8% | falling |
| 27 | Türkiye | 13 1000 t | 2023 | unchanged | rising |
| 29 | Malaysia | 12 1000 t | 2023 | down 53.8% | falling |
| 29 | Peru | 12 1000 t | 2023 | down 29.4% | falling |
| 31 | Philippines | 7 1000 t | 2023 | down 22.2% | falling |
| 31 | China, Taiwan Province of | 7 1000 t | 2023 | down 70.8% | volatile |
| 33 | Bulgaria | 5 1000 t | 2023 | down 28.6% | falling |
| 33 | Ukraine | 5 1000 t | 2023 | up 400.0% | volatile |
| 35 | Morocco | 4 1000 t | 2023 | — | volatile |
| 35 | Myanmar | 4 1000 t | 2023 | down 33.3% | volatile |
| 37 | Argentina | 3 1000 t | 2018 | down 88.0% | falling |
| 37 | Belarus | 3 1000 t | 2023 | up 50.0% | rising |
| 37 | Poland | 3 1000 t | 2023 | up 200.0% | volatile |
| 37 | Senegal | 3 1000 t | 2023 | up 200.0% | rising |
| 41 | United Arab Emirates | 2 1000 t | 2023 | — | volatile |
| 41 | Nicaragua | 2 1000 t | 2023 | unchanged | rising |
| 41 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 41 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 41 | Caribbean | 2 1000 t | 2023 | up 100.0% | rising |
| 46 | Bahamas | 1 1000 t | 2023 | unchanged | flat |
| 46 | Belize | 1 1000 t | 2023 | down 50.0% | volatile |
| 46 | Czechia | 1 1000 t | 2023 | unchanged | flat |
| 46 | Honduras | 1 1000 t | 2023 | unchanged | volatile |
| 46 | Croatia | 1 1000 t | 2023 | unchanged | rising |
| 46 | Iceland | 1 1000 t | 2023 | — | volatile |
| 46 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 46 | Latvia | 1 1000 t | 2023 | — | volatile |
| 46 | Norway | 1 1000 t | 2023 | unchanged | flat |
| 46 | Romania | 1 1000 t | 2023 | — | volatile |
| 46 | Sweden | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Albania | 0 1000 t | 2023 | — | flat |
| 57 | Armenia | 0 1000 t | 2017 | — | flat |
| 57 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 57 | Austria | 0 1000 t | 2023 | — | flat |
| 57 | Burkina Faso | 0 1000 t | 2018 | — | flat |
| 57 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 57 | Bahrain | 0 1000 t | 2023 | — | flat |
| 57 | Bosnia and Herzegovina | 0 1000 t | 2017 | down 100.0% | volatile |
| 57 | Brazil | 0 1000 t | 2023 | — | flat |
| 57 | Barbados | 0 1000 t | 2020 | — | flat |
| 57 | Botswana | 0 1000 t | 2023 | — | flat |
| 57 | Switzerland | 0 1000 t | 2023 | — | flat |
| 57 | Cameroon | 0 1000 t | 2020 | — | flat |
| 57 | Congo | 0 1000 t | 2023 | — | flat |
| 57 | Colombia | 0 1000 t | 2020 | — | flat |
| 57 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 57 | Cuba | 0 1000 t | 2019 | — | flat |
| 57 | Cyprus | 0 1000 t | 2023 | — | flat |
| 57 | Djibouti | 0 1000 t | 2023 | — | flat |
| 57 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 57 | Algeria | 0 1000 t | 2023 | — | flat |
| 57 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 57 | Egypt | 0 1000 t | 2023 | — | volatile |
| 57 | Estonia | 0 1000 t | 2023 | — | flat |
| 57 | Finland | 0 1000 t | 2023 | — | flat |
| 57 | Fiji | 0 1000 t | 2023 | — | volatile |
| 57 | Gabon | 0 1000 t | 2018 | — | flat |
| 57 | Georgia | 0 1000 t | 2018 | — | flat |
| 57 | Ghana | 0 1000 t | 2023 | — | flat |
| 57 | Guinea | 0 1000 t | 2014 | — | flat |
| 57 | Gambia | 0 1000 t | 2020 | — | flat |
| 57 | Grenada | 0 1000 t | 2023 | — | flat |
| 57 | Guatemala | 0 1000 t | 2023 | — | flat |
| 57 | Guyana | 0 1000 t | 2023 | — | flat |
| 57 | Haiti | 0 1000 t | 2023 | — | flat |
| 57 | Hungary | 0 1000 t | 2023 | — | flat |
| 57 | Israel | 0 1000 t | 2023 | — | flat |
| 57 | Jordan | 0 1000 t | 2017 | — | flat |
| 57 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 57 | Kenya | 0 1000 t | 2023 | — | flat |
| 57 | Kyrgyzstan | 0 1000 t | 2015 | — | flat |
| 57 | Cambodia | 0 1000 t | 2020 | — | flat |
| 57 | Kiribati | 0 1000 t | 2023 | — | flat |
| 57 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 57 | Kuwait | 0 1000 t | 2023 | — | flat |
| 57 | Lebanon | 0 1000 t | 2023 | — | flat |
| 57 | Liberia | 0 1000 t | 2018 | — | flat |
| 57 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 57 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 57 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 57 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 57 | Madagascar | 0 1000 t | 2023 | — | flat |
| 57 | Maldives | 0 1000 t | 2023 | — | flat |
| 57 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 57 | Malta | 0 1000 t | 2023 | — | flat |
| 57 | Montenegro | 0 1000 t | 2023 | — | flat |
| 57 | Mongolia | 0 1000 t | 2023 | — | flat |
| 57 | Mozambique | 0 1000 t | 2023 | — | flat |
| 57 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Mauritius | 0 1000 t | 2023 | — | flat |
| 57 | Namibia | 0 1000 t | 2023 | — | volatile |
| 57 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 57 | Niger | 0 1000 t | 2016 | — | flat |
| 57 | Nigeria | 0 1000 t | 2020 | — | flat |
| 57 | Nepal | 0 1000 t | 2023 | — | flat |
| 57 | Oman | 0 1000 t | 2023 | — | flat |
| 57 | Panama | 0 1000 t | 2023 | — | volatile |
| 57 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 57 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 57 | Qatar | 0 1000 t | 2023 | — | flat |
| 57 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 57 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 57 | El Salvador | 0 1000 t | 2023 | — | flat |
| 57 | Serbia | 0 1000 t | 2023 | — | flat |
| 57 | Sao Tome and Principe | 0 1000 t | 2017 | — | flat |
| 57 | Suriname | 0 1000 t | 2017 | — | flat |
| 57 | Slovakia | 0 1000 t | 2023 | — | flat |
| 57 | Eswatini | 0 1000 t | 2019 | — | flat |
| 57 | Seychelles | 0 1000 t | 2023 | — | flat |
| 57 | Tonga | 0 1000 t | 2023 | — | flat |
| 57 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 57 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Uruguay | 0 1000 t | 2020 | — | flat |
| 57 | Uzbekistan | 0 1000 t | 2017 | — | flat |
| 57 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 57 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 57 | Samoa | 0 1000 t | 2023 | — | flat |
| 57 | Yemen | 0 1000 t | 2023 | — | flat |
| 57 | Zambia | 0 1000 t | 2023 | — | flat |
| 57 | Zimbabwe | 0 1000 t | 2017 | — | flat |
| 57 | Micronesia | 0 1000 t | 2023 | — | flat |
| 57 | Timor-Leste | 0 1000 t | 2017 | — | flat |
| 57 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 57 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 57 | Polynesia | 0 1000 t | 2023 | — | flat |
| 57 | Democratic Republic of the Congo | 0 1000 t | 2019 | — | flat |
| 57 | Syrian Arab Republic | 0 1000 t | 2017 | — | flat |
| 57 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 57 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 57 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 57 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | China, Macao SAR | 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 3,373 1000 t
- Asia 2,102 1000 t
- Eastern Asia 1,687 1000 t
- Europe 712 1000 t
- European Union (27) 607 1000 t
- Americas 429 1000 t
- South-eastern Asia 382 1000 t
- Southern Europe 287 1000 t
- South America 252 1000 t
- Western Europe 217 1000 t
- Northern Europe 165 1000 t
- Northern America 157 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.