Aquatic Animals, Others — Domestic supply 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
154
Highest
1,400 1000 t
China (People’s Republic of)
Lowest
0 1000 t
Netherlands (Kingdom of the)
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,599

What the numbers show

Aquatic Animals, Others — Domestic supply quantity is currently reported for 154 countries. The highest value is 1,400 1000 t in China (People’s Republic of); the lowest is 0 1000 t in Netherlands (Kingdom of the).

The median across all reporting countries is 0 1000 t, and the mean is 19.49 1000 t.

Over the past decade 10 countries rose and 15 fell. The largest increase was in Russian Federation (up 1,200.0%), and the largest decrease in Belgium (down 100.0%).

Aquatic Animals, Others — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China (People’s Republic of) 1,400 1000 t 2023 up 48.1% rising
2 China, mainland 1,382 1000 t 2023 up 48.8% rising
3 Republic of Korea 38 1000 t 2023 up 11.8% falling
4 Chile 32 1000 t 2023 up 33.3% rising
5 Indonesia 29 1000 t 2023 up 262.5% volatile
6 Saudi Arabia 21 1000 t 2023 volatile
7 Malaysia 15 1000 t 2023 up 87.5% rising
8 Russian Federation 13 1000 t 2023 up 1,200.0% volatile
9 Mexico 12 1000 t 2023 down 50.0% volatile
10 Canada 9 1000 t 2023 up 28.6% rising
10 China, Taiwan Province of 9 1000 t 2023 down 25.0% falling
12 China, Hong Kong SAR 8 1000 t 2023 up 166.7% rising
13 Nicaragua 4 1000 t 2023 volatile
14 Sri Lanka 3 1000 t 2023 unchanged volatile
14 Thailand 3 1000 t 2023 down 97.5% volatile
14 Australia and New Zealand 3 1000 t 2023 down 57.1% volatile
17 Australia 2 1000 t 2023 down 66.7% volatile
17 Myanmar 2 1000 t 2023 down 60.0% volatile
17 Pakistan 2 1000 t 2023 up 100.0% rising
20 Bulgaria 1 1000 t 2023 volatile
20 Switzerland 1 1000 t 2023 volatile
20 Germany 1 1000 t 2023 volatile
20 Spain 1 1000 t 2023 down 50.0% volatile
20 France 1 1000 t 2023 down 75.0% volatile
20 Iceland 1 1000 t 2023 unchanged falling
20 Italy 1 1000 t 2023 unchanged falling
20 Madagascar 1 1000 t 2023 down 66.7% volatile
20 New Zealand 1 1000 t 2023 unchanged flat
20 Peru 1 1000 t 2023 volatile
20 Philippines 1 1000 t 2023 unchanged volatile
20 Samoa 1 1000 t 2023 unchanged flat
20 United Kingdom of Great Britain and Northern Ireland 1 1000 t 2023 unchanged volatile
20 China, Macao SAR 1 1000 t 2023 volatile
34 Angola 0 1000 t 2023 flat
34 Albania 0 1000 t 2023 flat
34 United Arab Emirates 0 1000 t 2023 flat
34 Argentina 0 1000 t 2023 flat
34 Armenia 0 1000 t 2023 flat
34 Austria 0 1000 t 2023 volatile
34 Azerbaijan 0 1000 t 2023 flat
34 Belgium 0 1000 t 2023 down 100.0% volatile
34 Burkina Faso 0 1000 t 2023 flat
34 Bangladesh 0 1000 t 2023 flat
34 Bahrain 0 1000 t 2023 flat
34 Bahamas 0 1000 t 2023 flat
34 Bosnia and Herzegovina 0 1000 t 2023 flat
34 Belarus 0 1000 t 2023 flat
34 Belize 0 1000 t 2023 down 100.0% volatile
34 Brazil 0 1000 t 2023 volatile
34 Barbados 0 1000 t 2023 flat
34 Botswana 0 1000 t 2023 flat
34 Cameroon 0 1000 t 2023 flat
34 Congo 0 1000 t 2023 flat
34 Colombia 0 1000 t 2023 flat
34 Costa Rica 0 1000 t 2023 flat
34 Cuba 0 1000 t 2019 flat
34 Cyprus 0 1000 t 2023 flat
34 Czechia 0 1000 t 2023 volatile
34 Djibouti 0 1000 t 2023 flat
34 Denmark 0 1000 t 2023 down 100.0% volatile
34 Dominican Republic 0 1000 t 2023 flat
34 Algeria 0 1000 t 2023 flat
34 Ecuador 0 1000 t 2023 volatile
34 Egypt 0 1000 t 2023 flat
34 Estonia 0 1000 t 2023 volatile
34 Ethiopia 0 1000 t 2023 flat
34 Finland 0 1000 t 2023 flat
34 Fiji 0 1000 t 2023 flat
34 Gabon 0 1000 t 2023 flat
34 Georgia 0 1000 t 2023 flat
34 Ghana 0 1000 t 2023 flat
34 Guinea 0 1000 t 2023 flat
34 Guinea-Bissau 0 1000 t 2023 flat
34 Greece 0 1000 t 2023 flat
34 Grenada 0 1000 t 2023 flat
34 Guatemala 0 1000 t 2023 flat
34 Guyana 0 1000 t 2023 flat
34 Honduras 0 1000 t 2023 volatile
34 Croatia 0 1000 t 2023 flat
34 Haiti 0 1000 t 2023 flat
34 Hungary 0 1000 t 2023 flat
34 India 0 1000 t 2023 flat
34 Ireland 0 1000 t 2023 flat
34 Iraq 0 1000 t 2023 flat
34 Israel 0 1000 t 2023 flat
34 Jamaica 0 1000 t 2023 flat
34 Jordan 0 1000 t 2023 flat
34 Kazakhstan 0 1000 t 2023 flat
34 Kenya 0 1000 t 2023 flat
34 Kyrgyzstan 0 1000 t 2023 flat
34 Cambodia 0 1000 t 2023 flat
34 Kiribati 0 1000 t 2023 flat
34 Kuwait 0 1000 t 2023 flat
34 Lebanon 0 1000 t 2023 flat
34 Liberia 0 1000 t 2023 flat
34 Libya 0 1000 t 2023 flat
34 Saint Lucia 0 1000 t 2023 flat
34 Lesotho 0 1000 t 2023 flat
34 Lithuania 0 1000 t 2023 flat
34 Luxembourg 0 1000 t 2023 flat
34 Latvia 0 1000 t 2023 flat
34 Morocco 0 1000 t 2023 flat
34 Maldives 0 1000 t 2023 flat
34 Marshall Islands 0 1000 t 2023 flat
34 North Macedonia 0 1000 t 2020 flat
34 Malta 0 1000 t 2023 flat
34 Montenegro 0 1000 t 2023 flat
34 Mongolia 0 1000 t 2023 flat
34 Mozambique 0 1000 t 2023 flat
34 Mauritania 0 1000 t 2018 flat
34 Mauritius 0 1000 t 2023 volatile
34 Malawi 0 1000 t 2020 flat
34 Namibia 0 1000 t 2023 flat
34 New Caledonia 0 1000 t 2023 flat
34 Niger 0 1000 t 2020 flat
34 Nigeria 0 1000 t 2023 volatile
34 Norway 0 1000 t 2023 flat
34 Nepal 0 1000 t 2020 flat
34 Oman 0 1000 t 2023 flat
34 Panama 0 1000 t 2023 volatile
34 Papua New Guinea 0 1000 t 2023 flat
34 Poland 0 1000 t 2023 flat
34 Portugal 0 1000 t 2023 flat
34 Paraguay 0 1000 t 2020 flat
34 French Polynesia 0 1000 t 2023 flat
34 Qatar 0 1000 t 2023 flat
34 Romania 0 1000 t 2023 flat
34 Rwanda 0 1000 t 2023 flat
34 Senegal 0 1000 t 2023 flat
34 Solomon Islands 0 1000 t 2023 flat
34 Sierra Leone 0 1000 t 2023 flat
34 El Salvador 0 1000 t 2023 flat
34 Serbia 0 1000 t 2023 volatile
34 Slovak Republic 0 1000 t 2023 flat
34 Slovenia 0 1000 t 2023 flat
34 Sweden 0 1000 t 2023 flat
34 Eswatini 0 1000 t 2018 flat
34 Seychelles 0 1000 t 2023 down 100.0% volatile
34 Tajikistan 0 1000 t 2018 flat
34 Turkmenistan 0 1000 t 2023 flat
34 Tonga 0 1000 t 2023 flat
34 Trinidad and Tobago 0 1000 t 2023 flat
34 Tunisia 0 1000 t 2023 flat
34 Uganda 0 1000 t 2020 flat
34 Ukraine 0 1000 t 2023 down 100.0% volatile
34 Uruguay 0 1000 t 2020 flat
34 Uzbekistan 0 1000 t 2023 flat
34 Saint Vincent and the Grenadines 0 1000 t 2023 flat
34 Vanuatu 0 1000 t 2023 flat
34 Yemen 0 1000 t 2023 flat
34 South Africa 0 1000 t 2023 flat
34 Zambia 0 1000 t 2023 flat
34 Zimbabwe 0 1000 t 2020 flat
34 Netherlands (Kingdom of the) 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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Aquatic Animals, Others — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://agriculture.statizoid.com/stat/aquatic-animals-others-domestic-supply-quantity/

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About this data

Indicator
Aquatic Animals, Others — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
203 places, 2,599 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.