Molluscs, Other — Food 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 — Food is currently reported for 128 countries. The highest value is 15,459 1000 t in China; the lowest is 0 1000 t in Iran (Islamic Republic of).
The median across all reporting countries is 3 1000 t, and the mean is 277.96 1000 t.
Over the past decade 39 countries rose and 38 fell. The largest increase was in Mauritania (up 600.0%), and the largest decrease in Angola (down 100.0%).
Molluscs, Other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 15,459 1000 t | 2023 | up 21.8% | rising |
| 2 | China, mainland | 15,164 1000 t | 2023 | up 22.3% | rising |
| 3 | United States | 964 1000 t | 2023 | down 0.6% | falling |
| 4 | Republic of Korea | 431 1000 t | 2023 | down 9.1% | falling |
| 5 | France | 354 1000 t | 2023 | down 13.9% | falling |
| 6 | Italy | 300 1000 t | 2023 | down 12.8% | falling |
| 7 | Vietnam | 222 1000 t | 2023 | up 29.1% | rising |
| 7 | Viet Nam | 222 1000 t | 2023 | up 29.1% | rising |
| 9 | Spain | 213 1000 t | 2023 | down 36.0% | falling |
| 10 | Russia | 161 1000 t | 2023 | up 15.8% | rising |
| 10 | Russian Federation | 161 1000 t | 2023 | up 15.8% | rising |
| 12 | China, Taiwan Province of | 158 1000 t | 2023 | down 8.7% | falling |
| 13 | Indonesia | 136 1000 t | 2023 | up 142.9% | volatile |
| 14 | China, Hong Kong SAR | 124 1000 t | 2023 | up 8.8% | falling |
| 15 | Canada | 120 1000 t | 2023 | up 5.3% | rising |
| 16 | India | 108 1000 t | 2023 | down 16.9% | rising |
| 17 | Mexico | 95 1000 t | 2023 | up 41.8% | rising |
| 18 | Thailand | 91 1000 t | 2023 | down 38.5% | falling |
| 19 | Philippines | 90 1000 t | 2023 | down 11.8% | falling |
| 20 | Malaysia | 80 1000 t | 2023 | up 86.0% | rising |
| 20 | Portugal | 80 1000 t | 2023 | up 73.9% | rising |
| 22 | Australia and New Zealand | 79 1000 t | 2023 | up 9.7% | rising |
| 23 | Australia | 69 1000 t | 2023 | up 1.5% | falling |
| 24 | Peru | 62 1000 t | 2023 | down 28.7% | volatile |
| 25 | Argentina | 52 1000 t | 2023 | up 44.4% | rising |
| 26 | United Kingdom | 49 1000 t | 2023 | down 43.0% | falling |
| 26 | United Kingdom of Great Britain and Northern Ireland | 49 1000 t | 2023 | down 43.0% | falling |
| 28 | Ukraine | 40 1000 t | 2023 | down 31.0% | rising |
| 29 | Belgium | 33 1000 t | 2023 | down 21.4% | falling |
| 30 | Germany | 26 1000 t | 2023 | down 10.3% | falling |
| 31 | Netherlands (Kingdom of the) | 24 1000 t | 2023 | up 118.2% | rising |
| 32 | Brazil | 23 1000 t | 2023 | down 42.5% | falling |
| 33 | Venezuela (Bolivarian Republic of) | 22 1000 t | 2023 | up 22.2% | falling |
| 34 | Cambodia | 21 1000 t | 2023 | down 34.4% | volatile |
| 35 | Turkey | 20 1000 t | 2023 | down 28.6% | falling |
| 35 | Türkiye | 20 1000 t | 2023 | down 28.6% | falling |
| 37 | Chile | 17 1000 t | 2023 | up 41.7% | rising |
| 38 | Nicaragua | 14 1000 t | 2023 | up 75.0% | rising |
| 39 | China, Macao SAR | 13 1000 t | 2023 | up 85.7% | rising |
| 40 | Poland | 11 1000 t | 2023 | up 450.0% | volatile |
| 41 | Switzerland | 10 1000 t | 2023 | unchanged | falling |
| 41 | New Zealand | 10 1000 t | 2023 | up 150.0% | rising |
| 41 | Romania | 10 1000 t | 2023 | up 150.0% | rising |
| 41 | Caribbean | 10 1000 t | 2023 | down 33.3% | falling |
| 45 | Denmark | 8 1000 t | 2023 | up 14.3% | falling |
| 45 | Sweden | 8 1000 t | 2023 | up 14.3% | rising |
| 47 | United Arab Emirates | 7 1000 t | 2023 | up 16.7% | rising |
| 47 | Mauritania | 7 1000 t | 2023 | up 600.0% | volatile |
| 47 | Democratic People's Republic of Korea | 7 1000 t | 2018 | down 36.4% | rising |
| 50 | Belarus | 6 1000 t | 2023 | up 200.0% | volatile |
| 51 | Austria | 5 1000 t | 2023 | up 25.0% | falling |
| 51 | Egypt | 5 1000 t | 2023 | down 16.7% | falling |
| 51 | Ireland | 5 1000 t | 2023 | down 37.5% | falling |
| 54 | Bulgaria | 4 1000 t | 2023 | — | volatile |
| 54 | Czechia | 4 1000 t | 2023 | up 300.0% | volatile |
| 54 | Greece | 4 1000 t | 2023 | down 66.7% | volatile |
| 54 | Nigeria | 4 1000 t | 2023 | down 69.2% | falling |
| 54 | Norway | 4 1000 t | 2023 | down 20.0% | falling |
| 54 | Panama | 4 1000 t | 2023 | up 300.0% | volatile |
| 54 | Melanesia | 4 1000 t | 2023 | unchanged | rising |
| 61 | Belize | 3 1000 t | 2023 | up 200.0% | rising |
| 61 | Colombia | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Cuba | 3 1000 t | 2019 | unchanged | rising |
| 61 | Dominican Republic | 3 1000 t | 2023 | unchanged | rising |
| 61 | Fiji | 3 1000 t | 2023 | unchanged | rising |
| 61 | Croatia | 3 1000 t | 2023 | unchanged | falling |
| 61 | Israel | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Jamaica | 3 1000 t | 2023 | down 40.0% | falling |
| 61 | Sri Lanka | 3 1000 t | 2023 | unchanged | volatile |
| 61 | Luxembourg | 3 1000 t | 2023 | up 50.0% | rising |
| 71 | Costa Rica | 2 1000 t | 2023 | unchanged | falling |
| 71 | Cyprus | 2 1000 t | 2023 | down 33.3% | rising |
| 71 | Hungary | 2 1000 t | 2023 | up 100.0% | rising |
| 71 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 71 | Malta | 2 1000 t | 2023 | unchanged | rising |
| 71 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 71 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 71 | Senegal | 2 1000 t | 2023 | down 83.3% | volatile |
| 71 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 71 | Tunisia | 2 1000 t | 2023 | up 100.0% | rising |
| 71 | Polynesia | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Albania | 1 1000 t | 2023 | unchanged | falling |
| 82 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | flat |
| 82 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 82 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 82 | Finland | 1 1000 t | 2023 | unchanged | falling |
| 82 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 82 | Iceland | 1 1000 t | 2023 | — | volatile |
| 82 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 82 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 82 | Lithuania | 1 1000 t | 2023 | unchanged | falling |
| 82 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 82 | Morocco | 1 1000 t | 2023 | unchanged | rising |
| 82 | Moldova | 1 1000 t | 2023 | — | volatile |
| 82 | Maldives | 1 1000 t | 2023 | — | volatile |
| 82 | Montenegro | 1 1000 t | 2023 | unchanged | falling |
| 82 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 82 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 82 | New Caledonia | 1 1000 t | 2023 | unchanged | flat |
| 82 | French Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 82 | Qatar | 1 1000 t | 2023 | — | flat |
| 82 | Uruguay | 1 1000 t | 2023 | down 50.0% | falling |
| 82 | South Africa | 1 1000 t | 2023 | down 87.5% | volatile |
| 82 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 82 | United Republic of Tanzania | 1 1000 t | 2023 | — | rising |
| 106 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 106 | Congo | 0 1000 t | 2023 | — | volatile |
| 106 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 106 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Georgia | 0 1000 t | 2023 | — | volatile |
| 106 | Honduras | 0 1000 t | 2023 | — | volatile |
| 106 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Libya | 0 1000 t | 2023 | — | volatile |
| 106 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 106 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 106 | Oman | 0 1000 t | 2023 | — | volatile |
| 106 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 106 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 106 | Serbia | 0 1000 t | 2023 | — | volatile |
| 106 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 106 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 106 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 106 | Iran (Islamic Republic of) | 0 1000 t | 2020 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 20,279 1000 t
- Asia 17,391 1000 t
- Eastern Asia 16,597 1000 t
- Americas 1,395 1000 t
- Europe 1,377 1000 t
- European Union (27) 1,105 1000 t
- Northern America 1,084 1000 t
- United States of America 964 1000 t
- South-Eastern Asia 641 1000 t
- Southern Europe 606 1000 t
- Western Europe 456 1000 t
- Eastern Europe 237 1000 t
- South America 181 1000 t
- Net Food Importing Developing Countries (NFIDCs) 147 1000 t
- Central America 119 1000 t
- Southern Asia 114 1000 t
- Oceania 85 1000 t
- Northern Europe 78 1000 t
- Low Income Food Deficit Countries (LIFDCs) 46 1000 t
- Western Asia 39 1000 t
- Least Developed Countries (LDCs) 37 1000 t
- Africa 31 1000 t
- Small island developing States (SIDS) 21 1000 t
- Western Africa 15 1000 t
- Northern Africa 8 1000 t
- Eastern Africa 4 1000 t
- Land Locked Developing Countries (LLDCs) 4 1000 t
- Southern Africa 3 1000 t
- Central Asia 1 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.