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...

Countries reporting
159
Highest
1,338 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,420

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Molluscs, Other — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
190 places, 2,420 data points, 2010–2023
Last refreshed

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.