Crustaceans — Stock Variation in Southern Asia
Southern Asia: Crustaceans — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Crustaceans — Stock Variation in Southern Asia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, crustaceans — stock variation in Southern Asia stood at 0 1000 t.
Over the whole period, crustaceans — stock variation in Southern Asia peaked at 1 1000 t in 2014 and was at its lowest, -3 1000 t, in 2010.
That places Southern Asia 1st out of 29 regions with data for 2023, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.3 1000 t | -3 1000 t | 1 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Southern Asia
- 1 Ireland 6 1000 t compare
- 2 Tonga 0 1000 t compare
- 2 Qatar 0 1000 t compare
- 2 Bahrain 0 1000 t compare
- 2 Cuba 0 1000 t compare
- 2 Lesotho 0 1000 t compare
- 2 Kiribati 0 1000 t compare
- 2 China, Macao SAR 0 1000 t compare
- 2 Mauritania 0 1000 t compare
- 2 Mongolia 0 1000 t compare
- 2 Sierra Leone 0 1000 t compare
- 2 Saint Kitts and Nevis 0 1000 t compare
- 2 Solomon Islands 0 1000 t compare
- 2 Albania 0 1000 t compare
- 2 Suriname 0 1000 t compare
- 2 Kuwait 0 1000 t compare
- 2 Maldives 0 1000 t compare
- 2 Vanuatu 0 1000 t compare
- 2 Gabon 0 1000 t compare
- 2 Saint Vincent and the Grenadines 0 1000 t compare
- 2 Eswatini 0 1000 t compare
- 2 Kyrgyzstan 0 1000 t compare
- 2 Papua New Guinea 0 1000 t compare
- 2 Guyana 0 1000 t compare
- 2 Jordan 0 1000 t compare
- 2 Bosnia and Herzegovina 0 1000 t compare
- 2 Oman 0 1000 t compare
- 2 New Caledonia 0 1000 t compare
- 2 Seychelles 0 1000 t compare
- 2 Luxembourg 0 1000 t compare
- 2 Iceland 0 1000 t compare
- 2 Uruguay 0 1000 t compare
- 2 Slovak Republic 0 1000 t compare
- 2 Namibia 0 1000 t compare
- 2 Yemen 0 1000 t compare
- 2 Bahamas 0 1000 t compare
- 2 Israel 0 1000 t compare
- 2 Lithuania 0 1000 t compare
- 2 Finland 0 1000 t compare
- 2 Tunisia 0 1000 t compare
- 2 Belarus 0 1000 t compare
- 2 Nicaragua 0 1000 t compare
- 2 Myanmar 0 1000 t compare
- 2 Argentina 0 1000 t compare
- 2 Chile 0 1000 t compare
- 2 Mozambique 0 1000 t compare
- 2 Bulgaria 0 1000 t compare
- 2 Latvia 0 1000 t compare
- 2 Antigua and Barbuda 0 1000 t compare
- 2 Norway 0 1000 t compare
- 2 Madagascar 0 1000 t compare
- 2 Panama 0 1000 t compare
- 2 Romania 0 1000 t compare
- 2 El Salvador 0 1000 t compare
- 2 Ghana 0 1000 t compare
- 2 Jamaica 0 1000 t compare
- 2 Belize 0 1000 t compare
- 2 Russian Federation 0 1000 t compare
- 2 Mauritius 0 1000 t compare
- 2 Canada 0 1000 t compare
- 2 Senegal 0 1000 t compare
- 2 Belgium 0 1000 t compare
- 2 Trinidad and Tobago 0 1000 t compare
- 2 Denmark 0 1000 t compare
- 2 China, Hong Kong SAR 0 1000 t compare
- 2 Cameroon 0 1000 t compare
- 2 Poland 0 1000 t compare
- 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 2 Kazakhstan 0 1000 t compare
- 2 Malaysia 0 1000 t compare
- 2 Botswana 0 1000 t compare
- 2 New Zealand 0 1000 t compare
- 2 Morocco 0 1000 t compare
- 2 Sweden 0 1000 t compare
- 2 Ecuador 0 1000 t compare
- 2 Australia 0 1000 t compare
- 2 Hungary 0 1000 t compare
- 2 Uganda 0 1000 t compare
- 2 China, Taiwan Province of 0 1000 t compare
- 2 France 0 1000 t compare
- 2 Republic of Korea 0 1000 t compare
- 2 South Africa 0 1000 t compare
- 2 Sri Lanka 0 1000 t compare
- 2 Pakistan 0 1000 t compare
- 2 India 0 1000 t compare
- 2 Germany 0 1000 t compare
- 2 Italy 0 1000 t compare
- 2 Spain 0 1000 t compare
- 2 Costa Rica 0 1000 t compare
- 2 Peru 0 1000 t compare
- 2 Honduras 0 1000 t compare
- 2 Colombia 0 1000 t compare
- 2 Thailand 0 1000 t compare
- 2 China, mainland 0 1000 t compare
- 2 Mexico 0 1000 t compare
- 2 Guatemala 0 1000 t compare
- 2 Australia and New Zealand 0 1000 t compare
- 2 Indonesia 0 1000 t compare
- 2 Kenya 0 1000 t compare
- 2 China (People’s Republic of) 0 1000 t compare
More agriculture & rural data for Southern Asia
- Tomatoes — Production 25.92 million t (2024)
- Bananas — Production 39.26 million t (2024)
- Bananas — Area harvested 1.07 million ha (2024)
- Unmanufactured tobacco — Production 1.04 million t (2024)
- Unmanufactured tobacco — Area harvested 522,889 ha (2024)
- Cattle and Buffaloes — Stocks 459.10 million An (2024)
- Eggs Primary — Yield/Carcass Weight 9,595 g/An (2024)
- Citrus Fruit, Total — Production 21.49 million t (2024)
- Citrus Fruit, Total — Yield 13,863 kg/ha (2024)
- Citrus Fruit, Total — Area harvested 1.55 million ha (2024)
Frequently asked questions
- What is crustaceans — stock variation in Southern Asia?
- Crustaceans — stock variation in Southern Asia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest crustaceans — stock variation recorded in Southern Asia?
- The highest recorded value was 1 1000 t in 2014.
- What is the lowest crustaceans — stock variation recorded in Southern Asia?
- The lowest recorded value was -3 1000 t in 2010.
- How does Southern Asia rank for crustaceans — stock variation?
- Southern Asia ranks 1st out of 29 regions with data for 2023.
- Where does this Southern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Crustaceans — Stock Variation. Statizoid updates them automatically from the source API.
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About this data
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.