Fish, Seafood — Other uses (non-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...

Countries reporting
148
Highest
1,000 1000 t
China (People’s Republic of)
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,450

What the numbers show

Fish, Seafood — Other uses (non-food) is currently reported for 148 countries. The highest value is 1,000 1000 t in China (People’s Republic of); the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 0 1000 t, and the mean is 25.58 1000 t.

Over the past decade 16 countries rose and 21 fell. The largest increase was in Panama (up 771.4%), and the largest decrease in Armenia (down 100.0%).

Fish, Seafood — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 China (People’s Republic of) 1,000 1000 t 2023 up 122.2% rising
1 China, mainland 1,000 1000 t 2023 up 122.2% rising
3 India 220 1000 t 2023 down 39.9% falling
4 Chile 212 1000 t 2023 up 583.9% volatile
5 Belize 205 1000 t 2023 up 606.9% volatile
6 Republic of Korea 180 1000 t 2023 up 500.0% volatile
7 Guinea 170 1000 t 2023 up 129.7% volatile
8 Georgia 142 1000 t 2023 volatile
9 Nauru 120 1000 t 2023 rising
10 Kiribati 64 1000 t 2023 up 700.0% volatile
11 Panama 61 1000 t 2023 up 771.4% volatile
12 Indonesia 59 1000 t 2023 down 57.9% volatile
13 Peru 55 1000 t 2023 volatile
14 Marshall Islands 49 1000 t 2023 rising
15 Guinea-Bissau 38 1000 t 2023 up 660.0% volatile
16 Malaysia 27 1000 t 2023 down 22.9% falling
17 Oman 26 1000 t 2023 up 100.0% volatile
18 Maldives 19 1000 t 2023 up 26.7% rising
18 Tuvalu 19 1000 t 2023 volatile
20 United Arab Emirates 15 1000 t 2023 down 77.3% volatile
21 Suriname 14 1000 t 2023 up 7.7% rising
22 Iceland 12 1000 t 2023 unchanged volatile
23 Liberia 10 1000 t 2023 volatile
23 Solomon Islands 10 1000 t 2023 volatile
25 Comoros 9 1000 t 2023 down 73.5% volatile
26 Denmark 7 1000 t 2023 down 58.8% volatile
26 Malta 7 1000 t 2023 up 16.7% rising
28 Samoa 6 1000 t 2023 up 50.0% rising
29 Nicaragua 5 1000 t 2023 volatile
30 French Polynesia 3 1000 t 2023 down 25.0% falling
30 Romania 3 1000 t 2023 up 50.0% rising
32 Antigua and Barbuda 2 1000 t 2023 down 33.3% falling
32 Bahamas 2 1000 t 2023 down 60.0% falling
32 Barbados 2 1000 t 2023 up 100.0% rising
32 Greece 2 1000 t 2023 volatile
32 New Caledonia 2 1000 t 2023 volatile
32 Uruguay 2 1000 t 2023 volatile
32 Vanuatu 2 1000 t 2023 down 92.0% volatile
39 Bulgaria 1 1000 t 2023 volatile
39 Brazil 1 1000 t 2023 down 66.7% volatile
39 Spain 1 1000 t 2023 unchanged volatile
39 Mauritius 1 1000 t 2023 volatile
39 United Kingdom of Great Britain and Northern Ireland 1 1000 t 2023 down 50.0% falling
44 Afghanistan 0 1000 t 2023 flat
44 Angola 0 1000 t 2023 flat
44 Albania 0 1000 t 2023 flat
44 Argentina 0 1000 t 2023 flat
44 Armenia 0 1000 t 2023 down 100.0% volatile
44 Australia 0 1000 t 2023 flat
44 Austria 0 1000 t 2023 flat
44 Azerbaijan 0 1000 t 2023 flat
44 Belgium 0 1000 t 2023 volatile
44 Bangladesh 0 1000 t 2023 volatile
44 Bahrain 0 1000 t 2023 flat
44 Bosnia and Herzegovina 0 1000 t 2018 flat
44 Belarus 0 1000 t 2023 flat
44 Botswana 0 1000 t 2023 flat
44 Canada 0 1000 t 2023 flat
44 Switzerland 0 1000 t 2023 flat
44 Cameroon 0 1000 t 2023 flat
44 Colombia 0 1000 t 2017 flat
44 Costa Rica 0 1000 t 2023 flat
44 Cyprus 0 1000 t 2023 volatile
44 Czechia 0 1000 t 2023 flat
44 Germany 0 1000 t 2023 volatile
44 Dominican Republic 0 1000 t 2023 flat
44 Algeria 0 1000 t 2023 flat
44 Ecuador 0 1000 t 2023 volatile
44 Egypt 0 1000 t 2020 flat
44 Estonia 0 1000 t 2023 flat
44 Finland 0 1000 t 2023 flat
44 Fiji 0 1000 t 2019 volatile
44 France 0 1000 t 2023 volatile
44 Gabon 0 1000 t 2023 flat
44 Ghana 0 1000 t 2023 flat
44 Grenada 0 1000 t 2023 flat
44 Guatemala 0 1000 t 2023 volatile
44 Guyana 0 1000 t 2023 flat
44 Honduras 0 1000 t 2023 flat
44 Croatia 0 1000 t 2023 flat
44 Hungary 0 1000 t 2023 flat
44 Ireland 0 1000 t 2023 flat
44 Iraq 0 1000 t 2023 flat
44 Israel 0 1000 t 2023 volatile
44 Italy 0 1000 t 2023 down 100.0% volatile
44 Jamaica 0 1000 t 2023 flat
44 Jordan 0 1000 t 2023 flat
44 Kazakhstan 0 1000 t 2023 flat
44 Kenya 0 1000 t 2023 flat
44 Kyrgyzstan 0 1000 t 2023 flat
44 Cambodia 0 1000 t 2023 flat
44 Saint Kitts and Nevis 0 1000 t 2023 down 100.0% volatile
44 Kuwait 0 1000 t 2023 flat
44 Lebanon 0 1000 t 2023 flat
44 Libya 0 1000 t 2020 flat
44 Saint Lucia 0 1000 t 2023 flat
44 Sri Lanka 0 1000 t 2023 flat
44 Lesotho 0 1000 t 2023 flat
44 Lithuania 0 1000 t 2023 flat
44 Luxembourg 0 1000 t 2023 flat
44 Latvia 0 1000 t 2023 flat
44 Morocco 0 1000 t 2023 flat
44 Madagascar 0 1000 t 2023 flat
44 Mexico 0 1000 t 2023 volatile
44 North Macedonia 0 1000 t 2023 flat
44 Myanmar 0 1000 t 2023 flat
44 Mongolia 0 1000 t 2023 flat
44 Mauritania 0 1000 t 2023 flat
44 Namibia 0 1000 t 2023 volatile
44 Nigeria 0 1000 t 2023 flat
44 Norway 0 1000 t 2023 flat
44 Nepal 0 1000 t 2023 volatile
44 New Zealand 0 1000 t 2023 flat
44 Pakistan 0 1000 t 2023 flat
44 Philippines 0 1000 t 2023 flat
44 Papua New Guinea 0 1000 t 2023 down 100.0% volatile
44 Poland 0 1000 t 2023 flat
44 Portugal 0 1000 t 2023 flat
44 Qatar 0 1000 t 2023 flat
44 Rwanda 0 1000 t 2023 flat
44 Saudi Arabia 0 1000 t 2023 flat
44 Senegal 0 1000 t 2023 flat
44 El Salvador 0 1000 t 2023 flat
44 Serbia 0 1000 t 2023 flat
44 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
44 Slovak Republic 0 1000 t 2023 volatile
44 Slovenia 0 1000 t 2023 flat
44 Sweden 0 1000 t 2023 flat
44 Eswatini 0 1000 t 2023 flat
44 Seychelles 0 1000 t 2023 down 100.0% volatile
44 Thailand 0 1000 t 2023 down 100.0% volatile
44 Tonga 0 1000 t 2023 flat
44 Trinidad and Tobago 0 1000 t 2023 flat
44 Tunisia 0 1000 t 2023 flat
44 Uganda 0 1000 t 2023 flat
44 Ukraine 0 1000 t 2023 flat
44 Uzbekistan 0 1000 t 2023 flat
44 Saint Vincent and the Grenadines 0 1000 t 2023 down 100.0% volatile
44 Yemen 0 1000 t 2019 volatile
44 South Africa 0 1000 t 2023 flat
44 Zambia 0 1000 t 2023 flat
44 Zimbabwe 0 1000 t 2019 flat
44 China, Hong Kong SAR 0 1000 t 2023 flat
44 Russian Federation 0 1000 t 2023 flat
44 Australia and New Zealand 0 1000 t 2023 flat
44 China, Taiwan Province of 0 1000 t 2023 flat
44 Netherlands (Kingdom of the) 0 1000 t 2023 down 100.0% volatile
44 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.

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Fish, Seafood — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/fish-seafood-other-uses-non-food/

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About this data

Indicator
Fish, Seafood — Other uses (non-food)
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
195 places, 2,450 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.