Crustaceans — Stock Variation 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
111
Highest
6 1000 t
Ireland
Lowest
-30 1000 t
United Arab Emirates
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,900

What the numbers show

Crustaceans — Stock Variation is currently reported for 111 countries. The highest value is 6 1000 t in Ireland; the lowest is -30 1000 t in United Arab Emirates.

The median across all reporting countries is 0 1000 t, and the mean is -0.3784 1000 t.

Over the past decade 5 countries rose and 7 fell. The largest increase was in Belgium (up 100.0%), and the largest decrease in Guatemala (down 100.0%).

Crustaceans — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Ireland 6 1000 t 2023 volatile
2 Albania 0 1000 t 2023 flat
2 Argentina 0 1000 t 2023 flat
2 Antigua and Barbuda 0 1000 t 2023 flat
2 Australia 0 1000 t 2023 flat
2 Belgium 0 1000 t 2023 up 100.0% volatile
2 Bulgaria 0 1000 t 2023 flat
2 Bahrain 0 1000 t 2023 flat
2 Bahamas 0 1000 t 2023 up 100.0% flat
2 Bosnia and Herzegovina 0 1000 t 2023 flat
2 Belarus 0 1000 t 2023 flat
2 Belize 0 1000 t 2023 flat
2 Botswana 0 1000 t 2023 flat
2 Canada 0 1000 t 2023 volatile
2 Chile 0 1000 t 2023 flat
2 China 0 1000 t 2023 flat
2 Cameroon 0 1000 t 2023 flat
2 Colombia 0 1000 t 2023 flat
2 Costa Rica 0 1000 t 2023 flat
2 Cuba 0 1000 t 2019 flat
2 Germany 0 1000 t 2023 flat
2 Denmark 0 1000 t 2023 volatile
2 Ecuador 0 1000 t 2023 flat
2 Spain 0 1000 t 2023 up 100.0% flat
2 Finland 0 1000 t 2023 flat
2 France 0 1000 t 2023 flat
2 Gabon 0 1000 t 2023 flat
2 Ghana 0 1000 t 2023 flat
2 Guatemala 0 1000 t 2023 down 100.0% flat
2 Guyana 0 1000 t 2023 flat
2 Honduras 0 1000 t 2023 up 100.0% volatile
2 Hungary 0 1000 t 2023 flat
2 Indonesia 0 1000 t 2023 down 100.0% flat
2 India 0 1000 t 2019 down 100.0% flat
2 Iceland 0 1000 t 2023 volatile
2 Israel 0 1000 t 2023 flat
2 Italy 0 1000 t 2023 flat
2 Jamaica 0 1000 t 2023 flat
2 Jordan 0 1000 t 2019 flat
2 Kazakhstan 0 1000 t 2023 volatile
2 Kenya 0 1000 t 2023 flat
2 Kyrgyzstan 0 1000 t 2023 flat
2 Kiribati 0 1000 t 2023 flat
2 Saint Kitts and Nevis 0 1000 t 2023 flat
2 Kuwait 0 1000 t 2023 flat
2 Sri Lanka 0 1000 t 2023 flat
2 Lesotho 0 1000 t 2023 flat
2 Lithuania 0 1000 t 2023 flat
2 Luxembourg 0 1000 t 2023 flat
2 Latvia 0 1000 t 2023 flat
2 Morocco 0 1000 t 2023 flat
2 Madagascar 0 1000 t 2023 flat
2 Maldives 0 1000 t 2023 flat
2 Mexico 0 1000 t 2023 flat
2 Myanmar 0 1000 t 2023 flat
2 Mongolia 0 1000 t 2023 flat
2 Mozambique 0 1000 t 2023 flat
2 Mauritania 0 1000 t 2023 flat
2 Mauritius 0 1000 t 2023 flat
2 Malaysia 0 1000 t 2023 flat
2 Namibia 0 1000 t 2023 volatile
2 New Caledonia 0 1000 t 2023 flat
2 Nicaragua 0 1000 t 2023 down 100.0% flat
2 Norway 0 1000 t 2023 flat
2 New Zealand 0 1000 t 2023 flat
2 Oman 0 1000 t 2023 flat
2 Pakistan 0 1000 t 2023 volatile
2 Panama 0 1000 t 2023 down 100.0% flat
2 Peru 0 1000 t 2023 flat
2 Papua New Guinea 0 1000 t 2017 flat
2 Poland 0 1000 t 2023 volatile
2 Qatar 0 1000 t 2023 flat
2 Romania 0 1000 t 2023 flat
2 Senegal 0 1000 t 2023 flat
2 Solomon Islands 0 1000 t 2023 flat
2 Sierra Leone 0 1000 t 2023 flat
2 El Salvador 0 1000 t 2023 volatile
2 Suriname 0 1000 t 2023 flat
2 Slovakia 0 1000 t 2023 flat
2 Sweden 0 1000 t 2023 flat
2 Eswatini 0 1000 t 2023 flat
2 Seychelles 0 1000 t 2023 flat
2 Thailand 0 1000 t 2023 volatile
2 Tonga 0 1000 t 2023 flat
2 Trinidad and Tobago 0 1000 t 2023 flat
2 Tunisia 0 1000 t 2023 flat
2 Uganda 0 1000 t 2023 flat
2 Uruguay 0 1000 t 2023 flat
2 Saint Vincent and the Grenadines 0 1000 t 2023 flat
2 Vanuatu 0 1000 t 2023 flat
2 Yemen 0 1000 t 2023 flat
2 Micronesia 0 1000 t 2023 flat
2 Cabo Verde 0 1000 t 2023 flat
2 Melanesia 0 1000 t 2023 flat
2 Polynesia 0 1000 t 2023 flat
2 Democratic Republic of the Congo 0 1000 t 2019 flat
2 Caribbean 0 1000 t 2023 up 100.0% flat
2 China, Hong Kong SAR 0 1000 t 2023 flat
2 Republic of Korea 0 1000 t 2023 flat
2 Russian Federation 0 1000 t 2023 down 100.0% flat
2 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
2 Türkiye 0 1000 t 2023 flat
2 Australia and New Zealand 0 1000 t 2023 flat
2 China, mainland 0 1000 t 2023 down 100.0% flat
2 United Republic of Tanzania 0 1000 t 2023 flat
2 China, Taiwan Province of 0 1000 t 2023 flat
2 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
2 China, Macao SAR 0 1000 t 2023 flat
109 Estonia -1 1000 t 2023 volatile
110 Netherlands (Kingdom of the) -17 1000 t 2023 volatile
111 United Arab Emirates -30 1000 t 2023 volatile

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 — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
142 places, 1,900 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.