Eggs — Stock Variation in Southern Asia
Southern Asia: Eggs — Stock Variation was 3 1000 t in 2023. ◆ Volatile
Eggs — Stock Variation in Southern Asia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for eggs — stock variation in Southern Asia is 3 1000 t, measured in 2023.
Compared with earlier readings it is up 200.0% on the previous year and up 175.0% over ten years.
Over the whole period, eggs — stock variation in Southern Asia peaked at 13 1000 t in 2016 and was at its lowest, -4 1000 t, in 2013.
Southern Asia ranks 11th of 31 groups on this measure, in the middle of the range.
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 | 5.8 1000 t | -4 1000 t | 13 1000 t | 10 |
| 2020s | 4 1000 t | 1 1000 t | 7 1000 t | 4 |
Countries ranked near Southern Asia
- 9 Gambia 2 1000 t compare
- 10 Estonia 1 1000 t compare
- 10 Czechia 1 1000 t compare
- 10 Philippines 1 1000 t compare
- 10 Indonesia 1 1000 t compare
- 14 Marshall Islands 0 1000 t compare
- 14 Qatar 0 1000 t compare
- 14 Bahrain 0 1000 t compare
- 14 Democratic People's Republic of Korea 0 1000 t compare
- 14 Cuba 0 1000 t compare
- 14 Lesotho 0 1000 t compare
- 14 Tajikistan 0 1000 t compare
- 14 Micronesia 0 1000 t compare
- 14 Mongolia 0 1000 t compare
- 14 Libya 0 1000 t compare
- 14 Sierra Leone 0 1000 t compare
- 14 Albania 0 1000 t compare
- 14 Kuwait 0 1000 t compare
- 14 Maldives 0 1000 t compare
- 14 Cabo Verde 0 1000 t compare
- 14 Armenia 0 1000 t compare
- 14 Gabon 0 1000 t compare
- 14 Uzbekistan 0 1000 t compare
- 14 Eswatini 0 1000 t compare
- 14 Guinea 0 1000 t compare
- 14 Haiti 0 1000 t compare
- 14 Saudi Arabia 0 1000 t compare
- 14 Guyana 0 1000 t compare
- 14 Kyrgyzstan 0 1000 t compare
- 14 Iraq 0 1000 t compare
- 14 Samoa 0 1000 t compare
- 14 Angola 0 1000 t compare
- 14 French Polynesia 0 1000 t compare
- 14 Grenada 0 1000 t compare
- 14 Oman 0 1000 t compare
- 14 Republic of Moldova 0 1000 t compare
- 14 Niger 0 1000 t compare
- 14 Seychelles 0 1000 t compare
- 14 Azerbaijan 0 1000 t compare
- 14 Congo 0 1000 t compare
- 14 Jordan 0 1000 t compare
- 14 North Macedonia 0 1000 t compare
- 14 Algeria 0 1000 t compare
- 14 Georgia 0 1000 t compare
- 14 Iceland 0 1000 t compare
- 14 Bosnia and Herzegovina 0 1000 t compare
- 14 Burkina Faso 0 1000 t compare
- 14 Namibia 0 1000 t compare
- 14 Paraguay 0 1000 t compare
- 14 Bahamas 0 1000 t compare
- 14 Saint Lucia 0 1000 t compare
- 14 Lithuania 0 1000 t compare
- 14 New Caledonia 0 1000 t compare
- 14 Finland 0 1000 t compare
- 14 Luxembourg 0 1000 t compare
- 14 Uruguay 0 1000 t compare
- 14 Viet Nam 0 1000 t compare
- 14 Belarus 0 1000 t compare
- 14 Slovakia 0 1000 t compare
- 14 Ukraine 0 1000 t compare
- 14 Myanmar 0 1000 t compare
- 14 Chile 0 1000 t compare
- 14 Israel 0 1000 t compare
- 14 Serbia 0 1000 t compare
- 14 Latvia 0 1000 t compare
- 14 Rwanda 0 1000 t compare
- 14 Tunisia 0 1000 t compare
- 14 Norway 0 1000 t compare
- 14 Croatia 0 1000 t compare
- 14 Barbados 0 1000 t compare
- 14 Yemen 0 1000 t compare
- 14 Panama 0 1000 t compare
- 14 Nicaragua 0 1000 t compare
- 14 Ireland 0 1000 t compare
- 14 Argentina 0 1000 t compare
- 14 Bulgaria 0 1000 t compare
- 14 Malawi 0 1000 t compare
- 14 Switzerland 0 1000 t compare
- 14 El Salvador 0 1000 t compare
- 14 Democratic Republic of the Congo 0 1000 t compare
- 14 Zambia 0 1000 t compare
- 14 Mozambique 0 1000 t compare
- 14 Belize 0 1000 t compare
- 14 Slovenia 0 1000 t compare
- 14 Lebanon 0 1000 t compare
- 14 Mauritius 0 1000 t compare
- 14 Syrian Arab Republic 0 1000 t compare
- 14 Madagascar 0 1000 t compare
- 14 United Arab Emirates 0 1000 t compare
- 14 Belgium 0 1000 t compare
- 14 Romania 0 1000 t compare
- 14 Netherlands (Kingdom of the) 0 1000 t compare
- 14 Jamaica 0 1000 t compare
- 14 Poland 0 1000 t compare
- 14 Russian Federation 0 1000 t compare
- 14 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 14 Ghana 0 1000 t compare
- 14 Bolivia (Plurinational State of) 0 1000 t compare
- 14 New Zealand 0 1000 t compare
- 14 Canada 0 1000 t compare
- 14 Portugal 0 1000 t compare
- 14 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 14 Austria 0 1000 t compare
- 14 Senegal 0 1000 t compare
- 14 Malta 0 1000 t compare
- 14 Türkiye 0 1000 t compare
- 14 Sweden 0 1000 t compare
- 14 Trinidad and Tobago 0 1000 t compare
- 14 Ecuador 0 1000 t compare
- 14 China, Hong Kong SAR 0 1000 t compare
- 14 Ethiopia 0 1000 t compare
- 14 Malaysia 0 1000 t compare
- 14 Kazakhstan 0 1000 t compare
- 14 Zimbabwe 0 1000 t compare
- 14 Fiji 0 1000 t compare
- 14 Morocco 0 1000 t compare
- 14 China, Taiwan Province of 0 1000 t compare
- 14 Botswana 0 1000 t compare
- 14 France 0 1000 t compare
- 14 Bangladesh 0 1000 t compare
- 14 Cameroon 0 1000 t compare
- 14 Polynesia 0 1000 t compare
- 14 Hungary 0 1000 t compare
- 14 Cambodia 0 1000 t compare
- 14 Côte d'Ivoire 0 1000 t compare
- 14 Australia 0 1000 t compare
- 14 Nigeria 0 1000 t compare
- 14 Greece 0 1000 t compare
- 14 Pakistan 0 1000 t compare
- 14 Uganda 0 1000 t compare
- 14 Republic of Korea 0 1000 t compare
- 14 Germany 0 1000 t compare
- 14 Cyprus 0 1000 t compare
- 14 Italy 0 1000 t compare
- 14 Sri Lanka 0 1000 t compare
- 14 Costa Rica 0 1000 t compare
- 14 Honduras 0 1000 t compare
- 14 Peru 0 1000 t compare
- 14 United Republic of Tanzania 0 1000 t compare
- 14 Mexico 0 1000 t compare
- 14 Colombia 0 1000 t compare
- 14 Egypt 0 1000 t compare
- 14 Australia and New Zealand 0 1000 t compare
- 14 Nepal 0 1000 t compare
- 14 Guatemala 0 1000 t compare
- 14 Kenya 0 1000 t compare
- 14 Melanesia 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 eggs — stock variation in Southern Asia?
- Eggs — stock variation in Southern Asia was 3 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest eggs — stock variation recorded in Southern Asia?
- The highest recorded value was 13 1000 t in 2016.
- What is the lowest eggs — stock variation recorded in Southern Asia?
- The lowest recorded value was -4 1000 t in 2013.
- How does Southern Asia rank for eggs — stock variation?
- Southern Asia ranks 11th out of 31 groups with data for 2023.
- Is eggs — stock variation rising or falling in Southern Asia?
- Over the last ten years it is up 175.0%. The long-run trend across the full record is volatile.
- Where does this Southern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Eggs — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.