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
77
Highest
1,338 1000 t
China
Lowest
0 1000 t
United Republic of Tanzania
Median
5 1000 t
Years covered
14
2010–2023
Data points
2,525

What the numbers show

Molluscs, Other — Export quantity is currently reported for 77 countries. The highest value is 1,338 1000 t in China; the lowest is 0 1000 t in United Republic of Tanzania.

The median across all reporting countries is 5 1000 t, and the mean is 63.73 1000 t.

Over the past decade 29 countries rose and 22 fell. The largest increase was in Russia (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 Vietnam 202 1000 t 2023 up 220.6% rising
4 Viet Nam 202 1000 t 2023 up 220.6% rising
6 Spain 192 1000 t 2023 up 118.2% rising
7 Thailand 130 1000 t 2023 up 27.5% rising
8 Australia and New Zealand 110 1000 t 2023 up 4.8% falling
9 New Zealand 97 1000 t 2023 up 9.0% flat
9 Netherlands (Kingdom of the) 97 1000 t 2023 up 2.1% rising
11 Canada 89 1000 t 2023 up 11.2% rising
12 United Kingdom 68 1000 t 2023 down 17.1% falling
12 United States 68 1000 t 2023 down 30.6% falling
12 United Kingdom of Great Britain and Northern Ireland 68 1000 t 2023 down 17.1% falling
15 Republic of Korea 66 1000 t 2023 up 17.9% rising
16 Denmark 58 1000 t 2023 up 20.8% rising
16 France 58 1000 t 2023 up 87.1% rising
18 Democratic People's Republic of Korea 55 1000 t 2017 up 10.0% falling
19 Italy 45 1000 t 2023 down 2.2% falling
20 Germany 42 1000 t 2023 up 110.0% rising
21 Ireland 34 1000 t 2023 up 13.3% flat
22 Portugal 31 1000 t 2023 up 10.7% rising
23 Indonesia 27 1000 t 2023 up 28.6% rising
23 Russia 27 1000 t 2023 up 800.0% volatile
23 Russian Federation 27 1000 t 2023 up 800.0% volatile
26 Belgium 19 1000 t 2023 down 34.5% falling
27 Greece 17 1000 t 2023 up 13.3% rising
28 India 16 1000 t 2023 up 220.0% rising
29 China, Hong Kong SAR 15 1000 t 2023 down 63.4% falling
30 Mexico 14 1000 t 2023 up 16.7% falling
31 Australia 13 1000 t 2023 down 18.8% falling
31 Turkey 13 1000 t 2023 unchanged rising
31 Türkiye 13 1000 t 2023 unchanged rising
34 Malaysia 12 1000 t 2023 down 53.8% falling
34 Peru 12 1000 t 2023 down 29.4% falling
36 South Africa 11 1000 t 2023 up 266.7% rising
37 Philippines 7 1000 t 2023 down 22.2% falling
37 China, Taiwan Province of 7 1000 t 2023 down 70.8% volatile
39 Bulgaria 5 1000 t 2023 down 28.6% falling
39 Ukraine 5 1000 t 2023 up 400.0% volatile
41 Morocco 4 1000 t 2023 — volatile
41 Myanmar 4 1000 t 2023 down 33.3% volatile
43 Argentina 3 1000 t 2018 down 88.0% falling
43 Belarus 3 1000 t 2023 up 50.0% rising
43 Poland 3 1000 t 2023 up 200.0% volatile
43 Senegal 3 1000 t 2023 up 200.0% rising
47 United Arab Emirates 2 1000 t 2023 — volatile
47 Nicaragua 2 1000 t 2023 unchanged rising
47 Pakistan 2 1000 t 2023 — volatile
47 Slovenia 2 1000 t 2023 — volatile
47 Caribbean 2 1000 t 2023 up 100.0% rising
52 Bahamas 1 1000 t 2023 unchanged flat
52 Belize 1 1000 t 2023 down 50.0% volatile
52 Czechia 1 1000 t 2023 unchanged flat
52 Honduras 1 1000 t 2023 unchanged volatile
52 Croatia 1 1000 t 2023 unchanged rising
52 Iceland 1 1000 t 2023 — volatile
52 Jamaica 1 1000 t 2023 — volatile
52 Latvia 1 1000 t 2023 — volatile
52 Norway 1 1000 t 2023 unchanged flat
52 Romania 1 1000 t 2023 — volatile
52 Sweden 1 1000 t 2023 down 50.0% falling
63 Bosnia and Herzegovina 0 1000 t 2017 down 100.0% volatile
63 Dominican Republic 0 1000 t 2023 — volatile
63 Ecuador 0 1000 t 2023 — volatile
63 Egypt 0 1000 t 2023 — volatile
63 Fiji 0 1000 t 2023 — volatile
63 Kazakhstan 0 1000 t 2023 — volatile
63 Sri Lanka 0 1000 t 2023 — volatile
63 Lithuania 0 1000 t 2023 — volatile
63 Mauritania 0 1000 t 2023 down 100.0% volatile
63 Namibia 0 1000 t 2023 — volatile
63 Panama 0 1000 t 2023 — volatile
63 Saudi Arabia 0 1000 t 2023 down 100.0% volatile
63 Tunisia 0 1000 t 2023 down 100.0% volatile
63 Melanesia 0 1000 t 2023 — volatile
63 United Republic of Tanzania 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.

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Molluscs, Other — Export quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/molluscs-other-export-quantity/

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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
199 places, 2,525 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.