Aquatic Animals, Others — Import 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
169
Highest
230 1000 t
China
Lowest
0 1000 t
Democratic People's Republic of Korea
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,495

What the numbers show

Aquatic Animals, Others — Import quantity is currently reported for 169 countries. The highest value is 230 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.

The median across all reporting countries is 0 1000 t, and the mean is 3.57 1000 t.

Over the past decade 6 countries rose and 9 fell. The largest increase was in Malaysia (up 2,566.7%), and the largest decrease in Belgium (down 100.0%).

Aquatic Animals, Others — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 230 1000 t 2023 up 296.6% volatile
2 China, mainland 208 1000 t 2023 up 890.5% volatile
3 Malaysia 80 1000 t 2023 up 2,566.7% volatile
4 Republic of Korea 24 1000 t 2023 up 118.2% volatile
5 Saudi Arabia 21 1000 t 2023 volatile
6 China, Hong Kong SAR 14 1000 t 2023 down 50.0% falling
7 China, Taiwan Province of 7 1000 t 2023 down 12.5% falling
8 Thailand 3 1000 t 2023 up 50.0% rising
9 Australia 2 1000 t 2023 unchanged volatile
9 Canada 2 1000 t 2023 down 50.0% rising
9 Italy 2 1000 t 2023 up 100.0% falling
9 Australia and New Zealand 2 1000 t 2023 unchanged volatile
13 Bulgaria 1 1000 t 2023 volatile
13 Switzerland 1 1000 t 2023 volatile
13 Germany 1 1000 t 2023 unchanged volatile
13 Denmark 1 1000 t 2023 volatile
13 Spain 1 1000 t 2023 down 75.0% falling
13 France 1 1000 t 2023 down 80.0% volatile
13 Mexico 1 1000 t 2023 volatile
13 United Kingdom of Great Britain and Northern Ireland 1 1000 t 2023 unchanged rising
13 China, Macao SAR 1 1000 t 2023 volatile
22 Angola 0 1000 t 2023 flat
22 Albania 0 1000 t 2023 flat
22 United Arab Emirates 0 1000 t 2023 flat
22 Argentina 0 1000 t 2023 flat
22 Armenia 0 1000 t 2023 flat
22 Austria 0 1000 t 2023 volatile
22 Azerbaijan 0 1000 t 2023 flat
22 Belgium 0 1000 t 2023 down 100.0% volatile
22 Burkina Faso 0 1000 t 2023 flat
22 Bangladesh 0 1000 t 2023 flat
22 Bahrain 0 1000 t 2023 flat
22 Bahamas 0 1000 t 2023 flat
22 Bosnia and Herzegovina 0 1000 t 2023 flat
22 Belarus 0 1000 t 2023 flat
22 Belize 0 1000 t 2023 flat
22 Brazil 0 1000 t 2023 flat
22 Barbados 0 1000 t 2023 flat
22 Botswana 0 1000 t 2023 flat
22 Chile 0 1000 t 2023 flat
22 Cameroon 0 1000 t 2023 flat
22 Congo 0 1000 t 2023 flat
22 Colombia 0 1000 t 2023 flat
22 Costa Rica 0 1000 t 2023 flat
22 Cuba 0 1000 t 2019 flat
22 Cyprus 0 1000 t 2023 flat
22 Czechia 0 1000 t 2023 volatile
22 Djibouti 0 1000 t 2023 flat
22 Dominican Republic 0 1000 t 2023 flat
22 Algeria 0 1000 t 2023 flat
22 Ecuador 0 1000 t 2023 flat
22 Egypt 0 1000 t 2023 flat
22 Estonia 0 1000 t 2023 volatile
22 Ethiopia 0 1000 t 2023 flat
22 Finland 0 1000 t 2023 flat
22 Fiji 0 1000 t 2023 flat
22 Gabon 0 1000 t 2023 flat
22 Georgia 0 1000 t 2023 flat
22 Ghana 0 1000 t 2023 flat
22 Guinea 0 1000 t 2023 flat
22 Guinea-Bissau 0 1000 t 2023 flat
22 Greece 0 1000 t 2023 volatile
22 Grenada 0 1000 t 2023 flat
22 Guatemala 0 1000 t 2023 flat
22 Guyana 0 1000 t 2023 flat
22 Honduras 0 1000 t 2023 flat
22 Croatia 0 1000 t 2023 flat
22 Haiti 0 1000 t 2023 flat
22 Hungary 0 1000 t 2023 flat
22 Indonesia 0 1000 t 2023 flat
22 India 0 1000 t 2023 flat
22 Ireland 0 1000 t 2023 flat
22 Iraq 0 1000 t 2023 flat
22 Iceland 0 1000 t 2023 flat
22 Israel 0 1000 t 2023 flat
22 Jamaica 0 1000 t 2023 flat
22 Jordan 0 1000 t 2023 flat
22 Kazakhstan 0 1000 t 2023 flat
22 Kyrgyzstan 0 1000 t 2023 flat
22 Cambodia 0 1000 t 2023 flat
22 Kiribati 0 1000 t 2023 flat
22 Kuwait 0 1000 t 2023 flat
22 Lebanon 0 1000 t 2023 flat
22 Liberia 0 1000 t 2023 flat
22 Libya 0 1000 t 2023 flat
22 Saint Lucia 0 1000 t 2023 flat
22 Sri Lanka 0 1000 t 2023 flat
22 Lesotho 0 1000 t 2023 flat
22 Lithuania 0 1000 t 2023 flat
22 Luxembourg 0 1000 t 2023 flat
22 Latvia 0 1000 t 2023 flat
22 Morocco 0 1000 t 2023 flat
22 Madagascar 0 1000 t 2023 flat
22 Maldives 0 1000 t 2023 flat
22 Marshall Islands 0 1000 t 2023 flat
22 North Macedonia 0 1000 t 2020 flat
22 Malta 0 1000 t 2023 flat
22 Myanmar 0 1000 t 2023 flat
22 Montenegro 0 1000 t 2023 flat
22 Mongolia 0 1000 t 2023 flat
22 Mozambique 0 1000 t 2023 flat
22 Mauritania 0 1000 t 2018 flat
22 Mauritius 0 1000 t 2023 down 100.0% volatile
22 Malawi 0 1000 t 2020 flat
22 Namibia 0 1000 t 2023 flat
22 New Caledonia 0 1000 t 2023 flat
22 Niger 0 1000 t 2020 flat
22 Nigeria 0 1000 t 2023 volatile
22 Nicaragua 0 1000 t 2023 flat
22 Norway 0 1000 t 2023 flat
22 Nepal 0 1000 t 2020 flat
22 New Zealand 0 1000 t 2023 flat
22 Oman 0 1000 t 2023 flat
22 Pakistan 0 1000 t 2023 flat
22 Panama 0 1000 t 2023 flat
22 Peru 0 1000 t 2023 flat
22 Philippines 0 1000 t 2023 flat
22 Papua New Guinea 0 1000 t 2023 flat
22 Poland 0 1000 t 2023 flat
22 Portugal 0 1000 t 2023 volatile
22 Paraguay 0 1000 t 2020 flat
22 French Polynesia 0 1000 t 2023 flat
22 Qatar 0 1000 t 2023 flat
22 Romania 0 1000 t 2023 flat
22 Rwanda 0 1000 t 2023 flat
22 Senegal 0 1000 t 2023 flat
22 Solomon Islands 0 1000 t 2023 flat
22 Sierra Leone 0 1000 t 2023 flat
22 El Salvador 0 1000 t 2023 flat
22 Serbia 0 1000 t 2023 volatile
22 Slovakia 0 1000 t 2023 flat
22 Slovenia 0 1000 t 2023 flat
22 Sweden 0 1000 t 2023 flat
22 Eswatini 0 1000 t 2018 flat
22 Seychelles 0 1000 t 2023 flat
22 Tajikistan 0 1000 t 2018 flat
22 Turkmenistan 0 1000 t 2023 flat
22 Tonga 0 1000 t 2023 flat
22 Trinidad and Tobago 0 1000 t 2023 flat
22 Tunisia 0 1000 t 2023 flat
22 Uganda 0 1000 t 2020 flat
22 Ukraine 0 1000 t 2023 volatile
22 Uruguay 0 1000 t 2018 flat
22 Uzbekistan 0 1000 t 2023 flat
22 Vanuatu 0 1000 t 2023 flat
22 Samoa 0 1000 t 2023 flat
22 Yemen 0 1000 t 2023 flat
22 Zambia 0 1000 t 2023 flat
22 Zimbabwe 0 1000 t 2020 flat
22 Micronesia 0 1000 t 2023 flat
22 Timor-Leste 0 1000 t 2017 flat
22 Cabo Verde 0 1000 t 2023 flat
22 Melanesia 0 1000 t 2023 flat
22 Polynesia 0 1000 t 2023 flat
22 Democratic Republic of the Congo 0 1000 t 2023 flat
22 Caribbean 0 1000 t 2023 volatile
22 Bolivia (Plurinational State of) 0 1000 t 2020 flat
22 Iran (Islamic Republic of) 0 1000 t 2017 flat
22 Republic of Moldova 0 1000 t 2023 flat
22 Russian Federation 0 1000 t 2023 volatile
22 Syrian Arab Republic 0 1000 t 2017 flat
22 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
22 Viet Nam 0 1000 t 2023 down 100.0% volatile
22 Türkiye 0 1000 t 2023 flat
22 Côte d'Ivoire 0 1000 t 2023 flat
22 Lao People's Democratic Republic 0 1000 t 2023 flat
22 United Republic of Tanzania 0 1000 t 2023 flat
22 Netherlands (Kingdom of the) 0 1000 t 2023 down 100.0% volatile
22 Democratic People's Republic of Korea 0 1000 t 2018 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
Aquatic Animals, Others — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
200 places, 2,495 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.