Crustaceans — 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
180
Highest
9,280 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
3 1000 t
Years covered
14
2010–2023
Data points
2,882

What the numbers show

Crustaceans — Domestic supply quantity is currently reported for 180 countries. The highest value is 9,280 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 3 1000 t, and the mean is 140.79 1000 t.

Over the past decade 73 countries rose and 31 fell. The largest increase was in Nicaragua (up 500.0%), and the largest decrease in Angola (down 100.0%).

Crustaceans — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 9,280 1000 t 2023 up 67.6% rising
2 China, mainland 9,079 1000 t 2023 up 69.9% rising
3 Indonesia 1,012 1000 t 2023 up 18.2% rising
4 Viet Nam 735 1000 t 2023 up 320.0% volatile
5 India 695 1000 t 2023 up 58.0% rising
6 Thailand 306 1000 t 2023 up 264.3% rising
7 Mexico 290 1000 t 2023 up 55.9% rising
8 Norway 240 1000 t 2023 up 45.5% rising
9 Canada 239 1000 t 2023 up 37.4% rising
10 France 226 1000 t 2023 down 4.2% falling
11 Bangladesh 224 1000 t 2023 up 27.3% rising
12 United Kingdom of Great Britain and Northern Ireland 214 1000 t 2023 down 10.5% falling
13 Republic of Korea 174 1000 t 2023 up 1.2% rising
14 Spain 170 1000 t 2023 up 1.8% falling
15 Malaysia 167 1000 t 2023 up 6.4% flat
16 Russian Federation 155 1000 t 2023 up 46.2% rising
17 Philippines 148 1000 t 2023 up 24.4% rising
18 Brazil 133 1000 t 2023 up 25.5% flat
19 Italy 132 1000 t 2023 up 10.0% flat
20 Australia and New Zealand 113 1000 t 2023 up 3.7% falling
21 China, Hong Kong SAR 101 1000 t 2023 up 29.5% rising
22 Australia 98 1000 t 2023 down 1.0% falling
23 China, Taiwan Province of 92 1000 t 2023 down 16.4% falling
24 Germany 81 1000 t 2023 up 17.4% falling
25 Sweden 74 1000 t 2023 down 7.5% flat
26 Argentina 62 1000 t 2023 up 342.9% volatile
27 Chile 59 1000 t 2023 up 63.9% rising
28 Saudi Arabia 56 1000 t 2023 up 166.7% rising
29 Egypt 54 1000 t 2023 up 50.0% flat
29 Ukraine 54 1000 t 2023 up 134.8% volatile
31 Nigeria 52 1000 t 2023 up 188.9% rising
32 Peru 51 1000 t 2023 up 363.6% rising
33 Cameroon 43 1000 t 2023 up 53.6% rising
33 Portugal 43 1000 t 2023 up 115.0% rising
35 Denmark 39 1000 t 2023 up 30.0% rising
36 Ecuador 37 1000 t 2023 down 58.4% falling
37 Iran (Islamic Republic of) 34 1000 t 2023 up 209.1% rising
38 Sri Lanka 29 1000 t 2023 up 52.6% rising
39 Netherlands (Kingdom of the) 27 1000 t 2023 down 41.3% falling
40 Caribbean 26 1000 t 2023 up 36.8% rising
41 Greece 24 1000 t 2023 up 71.4% rising
42 Guatemala 22 1000 t 2023 up 266.7% rising
43 Switzerland 21 1000 t 2023 unchanged falling
44 Belgium 19 1000 t 2023 down 17.4% falling
44 Mozambique 19 1000 t 2023 up 171.4% rising
46 Cambodia 18 1000 t 2023 up 12.5% rising
46 Venezuela (Bolivarian Republic of) 18 1000 t 2023 up 5.9% falling
48 Austria 17 1000 t 2023 up 88.9% rising
48 Democratic People's Republic of Korea 17 1000 t 2018 down 15.0% falling
50 New Zealand 16 1000 t 2023 up 60.0% rising
51 Colombia 15 1000 t 2023 up 66.7% rising
52 Iceland 12 1000 t 2023 up 140.0% rising
53 Dominican Republic 11 1000 t 2023 up 175.0% rising
53 Poland 11 1000 t 2023 up 266.7% rising
55 Finland 10 1000 t 2023 down 16.7% falling
55 Guyana 10 1000 t 2023 unchanged rising
55 Kuwait 10 1000 t 2023 up 66.7% rising
55 Madagascar 10 1000 t 2023 down 33.3% rising
55 Qatar 10 1000 t 2023 flat
60 Romania 9 1000 t 2023 up 350.0% volatile
61 United Arab Emirates 8 1000 t 2023 down 79.5% volatile
61 Israel 8 1000 t 2023 up 60.0% rising
61 Oman 8 1000 t 2023 up 60.0% rising
61 China, Macao SAR 8 1000 t 2023 up 33.3% rising
65 Lithuania 7 1000 t 2023 up 250.0% rising
65 Pakistan 7 1000 t 2023 down 41.7% rising
67 Nicaragua 6 1000 t 2023 up 500.0% volatile
67 United Republic of Tanzania 6 1000 t 2023 up 100.0% rising
69 Costa Rica 5 1000 t 2023 down 16.7% falling
69 Panama 5 1000 t 2023 up 66.7% rising
69 Melanesia 5 1000 t 2023 up 66.7% rising
69 Türkiye 5 1000 t 2023 up 25.0% rising
73 Albania 4 1000 t 2023 up 100.0% rising
73 Bahamas 4 1000 t 2023 up 33.3% falling
73 Czechia 4 1000 t 2023 up 100.0% rising
73 Croatia 4 1000 t 2023 up 33.3% rising
73 Ireland 4 1000 t 2023 down 50.0% volatile
73 Jamaica 4 1000 t 2023 up 100.0% rising
73 Kazakhstan 4 1000 t 2023 up 300.0% volatile
73 Mauritius 4 1000 t 2023 up 33.3% rising
73 Senegal 4 1000 t 2023 up 33.3% volatile
73 Suriname 4 1000 t 2023 down 33.3% falling
83 Burkina Faso 3 1000 t 2023 up 200.0% volatile
83 Cuba 3 1000 t 2019 rising
83 Cyprus 3 1000 t 2023 unchanged falling
83 Algeria 3 1000 t 2023 down 40.0% falling
83 Estonia 3 1000 t 2023 up 50.0% rising
83 Iraq 3 1000 t 2023 up 200.0% volatile
83 Lebanon 3 1000 t 2023 down 40.0% falling
83 Luxembourg 3 1000 t 2023 unchanged flat
83 Latvia 3 1000 t 2023 unchanged volatile
83 Morocco 3 1000 t 2023 down 83.3% volatile
83 Myanmar 3 1000 t 2023 down 25.0% falling
83 El Salvador 3 1000 t 2023 up 50.0% falling
83 Trinidad and Tobago 3 1000 t 2023 unchanged flat
83 Lao People's Democratic Republic 3 1000 t 2023 volatile
97 Belarus 2 1000 t 2023 unchanged rising
97 Hungary 2 1000 t 2023 up 100.0% rising
97 Jordan 2 1000 t 2023 up 100.0% rising
97 Maldives 2 1000 t 2023 up 100.0% rising
97 New Caledonia 2 1000 t 2023 volatile
97 Slovenia 2 1000 t 2023 up 100.0% rising
97 Tunisia 2 1000 t 2023 down 50.0% falling
97 Uruguay 2 1000 t 2023 up 100.0% volatile
97 Côte d'Ivoire 2 1000 t 2023 up 100.0% rising
106 Armenia 1 1000 t 2023 volatile
106 Antigua and Barbuda 1 1000 t 2023 rising
106 Azerbaijan 1 1000 t 2023 volatile
106 Bulgaria 1 1000 t 2023 down 50.0% volatile
106 Barbados 1 1000 t 2023 unchanged flat
106 Congo 1 1000 t 2023 unchanged falling
106 Fiji 1 1000 t 2023 unchanged flat
106 Ghana 1 1000 t 2023 down 66.7% volatile
106 Gambia 1 1000 t 2023 down 50.0% falling
106 Honduras 1 1000 t 2023 down 66.7% volatile
106 Kenya 1 1000 t 2023 unchanged volatile
106 Libya 1 1000 t 2023 unchanged flat
106 Malta 1 1000 t 2023 unchanged flat
106 Namibia 1 1000 t 2023 unchanged rising
106 French Polynesia 1 1000 t 2023 unchanged falling
106 Sierra Leone 1 1000 t 2023 unchanged flat
106 Serbia 1 1000 t 2023 volatile
106 Slovakia 1 1000 t 2023 unchanged volatile
106 Seychelles 1 1000 t 2023 unchanged volatile
106 Vanuatu 1 1000 t 2023 unchanged flat
106 Polynesia 1 1000 t 2023 unchanged falling
106 Republic of Moldova 1 1000 t 2023 volatile
128 Angola 0 1000 t 2023 down 100.0% volatile
128 Bahrain 0 1000 t 2023 flat
128 Bosnia and Herzegovina 0 1000 t 2023 flat
128 Belize 0 1000 t 2023 down 100.0% volatile
128 Bhutan 0 1000 t 2023 flat
128 Botswana 0 1000 t 2023 flat
128 Comoros 0 1000 t 2023 volatile
128 Djibouti 0 1000 t 2023 flat
128 Ethiopia 0 1000 t 2023 flat
128 Gabon 0 1000 t 2023 flat
128 Georgia 0 1000 t 2023 flat
128 Guinea 0 1000 t 2023 down 100.0% volatile
128 Guinea-Bissau 0 1000 t 2023 flat
128 Grenada 0 1000 t 2023 flat
128 Haiti 0 1000 t 2023 volatile
128 Kyrgyzstan 0 1000 t 2023 flat
128 Kiribati 0 1000 t 2023 flat
128 Saint Kitts and Nevis 0 1000 t 2023 flat
128 Liberia 0 1000 t 2023 flat
128 Saint Lucia 0 1000 t 2023 flat
128 Lesotho 0 1000 t 2023 flat
128 Marshall Islands 0 1000 t 2023 flat
128 North Macedonia 0 1000 t 2023 flat
128 Montenegro 0 1000 t 2023 volatile
128 Mongolia 0 1000 t 2023 flat
128 Mauritania 0 1000 t 2023 down 100.0% volatile
128 Malawi 0 1000 t 2023 flat
128 Niger 0 1000 t 2023 flat
128 Nepal 0 1000 t 2023 flat
128 Papua New Guinea 0 1000 t 2023 down 100.0% volatile
128 Paraguay 0 1000 t 2023 flat
128 Rwanda 0 1000 t 2023 flat
128 Solomon Islands 0 1000 t 2023 flat
128 Sao Tome and Principe 0 1000 t 2023 flat
128 Eswatini 0 1000 t 2023 flat
128 Tajikistan 0 1000 t 2023 flat
128 Turkmenistan 0 1000 t 2023 flat
128 Tonga 0 1000 t 2023 flat
128 Tuvalu 0 1000 t 2023 flat
128 Uganda 0 1000 t 2023 flat
128 Uzbekistan 0 1000 t 2023 flat
128 Saint Vincent and the Grenadines 0 1000 t 2023 flat
128 Samoa 0 1000 t 2023 down 100.0% volatile
128 Yemen 0 1000 t 2023 volatile
128 Zambia 0 1000 t 2023 flat
128 Zimbabwe 0 1000 t 2023 flat
128 Micronesia 0 1000 t 2023 flat
128 Timor-Leste 0 1000 t 2023 flat
128 Cabo Verde 0 1000 t 2023 flat
128 Democratic Republic of the Congo 0 1000 t 2023 flat
128 Bolivia (Plurinational State of) 0 1000 t 2023 flat
128 Syrian Arab Republic 0 1000 t 2023 flat
128 Micronesia (Federated States of) 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
Crustaceans — 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
211 places, 2,882 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.