Molluscs, 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
Molluscs, Other — Production is currently reported for 86 countries. The highest value is 16,033 1000 t in China; the lowest is 0 1000 t in Micronesia.
The median across all reporting countries is 6 1000 t, and the mean is 430.01 1000 t.
Over the past decade 32 countries rose and 29 fell. The largest increase was in Ukraine (up 400.0%), and the largest decrease in Honduras (down 100.0%).
Molluscs, Other — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 16,033 1000 t | 2023 | up 20.2% | rising |
| 2 | China, mainland | 15,957 1000 t | 2023 | up 20.6% | rising |
| 3 | United States | 646 1000 t | 2023 | down 3.3% | falling |
| 4 | Republic of Korea | 514 1000 t | 2023 | up 48.6% | rising |
| 5 | Chile | 435 1000 t | 2023 | up 51.0% | rising |
| 6 | Vietnam | 405 1000 t | 2023 | up 75.3% | rising |
| 6 | Viet Nam | 405 1000 t | 2023 | up 75.3% | rising |
| 8 | Spain | 211 1000 t | 2023 | up 19.9% | flat |
| 9 | France | 206 1000 t | 2023 | down 1.0% | flat |
| 10 | Indonesia | 158 1000 t | 2023 | up 119.4% | rising |
| 11 | Canada | 155 1000 t | 2023 | up 8.4% | rising |
| 12 | Thailand | 149 1000 t | 2023 | down 37.1% | falling |
| 13 | Australia and New Zealand | 129 1000 t | 2023 | up 8.4% | flat |
| 14 | India | 124 1000 t | 2023 | down 7.5% | rising |
| 15 | Peru | 118 1000 t | 2023 | up 14.6% | falling |
| 16 | Italy | 116 1000 t | 2023 | up 4.5% | falling |
| 17 | New Zealand | 104 1000 t | 2023 | up 15.6% | rising |
| 18 | Philippines | 96 1000 t | 2023 | down 11.9% | falling |
| 19 | Mexico | 95 1000 t | 2023 | up 28.4% | flat |
| 20 | United Kingdom | 79 1000 t | 2023 | down 31.9% | falling |
| 20 | United Kingdom of Great Britain and Northern Ireland | 79 1000 t | 2023 | down 31.9% | falling |
| 22 | China, Taiwan Province of | 75 1000 t | 2023 | down 25.0% | falling |
| 23 | Democratic People's Republic of Korea | 62 1000 t | 2018 | up 3.3% | flat |
| 24 | Denmark | 54 1000 t | 2023 | up 25.6% | rising |
| 25 | Netherlands (Kingdom of the) | 52 1000 t | 2023 | up 26.8% | flat |
| 26 | Russia | 48 1000 t | 2023 | up 242.9% | rising |
| 26 | Russian Federation | 48 1000 t | 2023 | up 242.9% | rising |
| 28 | Argentina | 46 1000 t | 2023 | up 9.5% | falling |
| 29 | Ireland | 35 1000 t | 2023 | unchanged | falling |
| 30 | Turkey | 30 1000 t | 2023 | down 23.1% | falling |
| 30 | Türkiye | 30 1000 t | 2023 | down 23.1% | falling |
| 32 | Malaysia | 26 1000 t | 2023 | down 44.7% | volatile |
| 33 | Australia | 25 1000 t | 2023 | down 13.8% | falling |
| 34 | Germany | 22 1000 t | 2023 | up 340.0% | volatile |
| 35 | Cambodia | 21 1000 t | 2023 | up 110.0% | rising |
| 35 | Venezuela (Bolivarian Republic of) | 21 1000 t | 2023 | up 23.5% | falling |
| 37 | Brazil | 20 1000 t | 2023 | down 31.0% | falling |
| 38 | Nicaragua | 16 1000 t | 2023 | up 60.0% | rising |
| 38 | Portugal | 16 1000 t | 2023 | up 77.8% | rising |
| 40 | Greece | 14 1000 t | 2023 | down 26.3% | falling |
| 41 | Caribbean | 12 1000 t | 2023 | down 40.0% | falling |
| 42 | Mauritania | 7 1000 t | 2023 | up 250.0% | volatile |
| 43 | Bulgaria | 6 1000 t | 2023 | down 14.3% | rising |
| 43 | South Africa | 6 1000 t | 2023 | up 100.0% | rising |
| 45 | Egypt | 5 1000 t | 2023 | down 16.7% | flat |
| 45 | Senegal | 5 1000 t | 2023 | down 61.5% | falling |
| 45 | Ukraine | 5 1000 t | 2023 | up 400.0% | volatile |
| 48 | Belize | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Myanmar | 4 1000 t | 2023 | down 33.3% | volatile |
| 48 | Nigeria | 4 1000 t | 2023 | down 20.0% | falling |
| 51 | Bahamas | 3 1000 t | 2023 | down 50.0% | falling |
| 51 | Fiji | 3 1000 t | 2023 | unchanged | rising |
| 51 | Jamaica | 3 1000 t | 2023 | down 25.0% | falling |
| 51 | Sri Lanka | 3 1000 t | 2023 | unchanged | rising |
| 51 | Morocco | 3 1000 t | 2023 | — | volatile |
| 51 | Norway | 3 1000 t | 2023 | unchanged | flat |
| 51 | Pakistan | 3 1000 t | 2023 | up 50.0% | rising |
| 51 | Romania | 3 1000 t | 2023 | up 200.0% | volatile |
| 51 | Melanesia | 3 1000 t | 2023 | unchanged | rising |
| 60 | Antigua and Barbuda | 2 1000 t | 2023 | down 33.3% | flat |
| 60 | Cuba | 2 1000 t | 2019 | unchanged | flat |
| 60 | Dominican Republic | 2 1000 t | 2023 | unchanged | rising |
| 60 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 60 | Sweden | 2 1000 t | 2023 | unchanged | rising |
| 60 | Tunisia | 2 1000 t | 2023 | up 100.0% | rising |
| 60 | Polynesia | 2 1000 t | 2023 | unchanged | rising |
| 67 | Albania | 1 1000 t | 2023 | unchanged | rising |
| 67 | Belgium | 1 1000 t | 2023 | unchanged | flat |
| 67 | Croatia | 1 1000 t | 2023 | down 50.0% | falling |
| 67 | Iceland | 1 1000 t | 2023 | — | volatile |
| 67 | Samoa | 1 1000 t | 2023 | down 50.0% | falling |
| 67 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 67 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | flat |
| 74 | Colombia | 0 1000 t | 2023 | — | volatile |
| 74 | Algeria | 0 1000 t | 2023 | — | volatile |
| 74 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 74 | Georgia | 0 1000 t | 2023 | — | volatile |
| 74 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 74 | Saint Kitts and Nevis | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 74 | Namibia | 0 1000 t | 2023 | — | volatile |
| 74 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 74 | Micronesia | 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 20,947 1000 t
- Asia 18,329 1000 t
- Eastern Asia 17,310 1000 t
- Americas 1,570 1000 t
- Europe 877 1000 t
- South-Eastern Asia 859 1000 t
- Northern America 801 1000 t
- European Union (27) 740 1000 t
- United States of America 646 1000 t
- South America 641 1000 t
- Southern Europe 360 1000 t
- Western Europe 281 1000 t
- Net Food Importing Developing Countries (NFIDCs) 207 1000 t
- Northern Europe 175 1000 t
- Oceania 133 1000 t
- Southern Asia 130 1000 t
- Central America 116 1000 t
- Low Income Food Deficit Countries (LIFDCs) 95 1000 t
- Eastern Europe 62 1000 t
- Least Developed Countries (LDCs) 41 1000 t
- Africa 37 1000 t
- Western Asia 30 1000 t
- Small island developing States (SIDS) 20 1000 t
- Western Africa 17 1000 t
- Northern Africa 10 1000 t
- Southern Africa 7 1000 t
- Eastern Africa 3 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.