Oats — Residuals in Southern Asia
Southern Asia: Oats — Residuals was 0 1000 t in 2023. ◆ Volatile
Oats — Residuals in Southern Asia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for oats — residuals in Southern Asia is 0 1000 t, measured in 2023.
Compared with earlier readings it is up 100.0% over five years.
Over the whole period, oats — residuals in Southern Asia peaked at 2 1000 t in 2015 and was at its lowest, -8 1000 t, in 2018.
Southern Asia ranks 4th of 38 groups on this measure, 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 | -0.6 1000 t | -8 1000 t | 2 1000 t | 10 |
| 2020s | -1 1000 t | -3 1000 t | 0 1000 t | 4 |
Countries ranked near Southern Asia
- 1 Mongolia 17 1000 t compare
- 2 Kazakhstan 14 1000 t compare
- 3 Naoero 0 1000 t compare
- 3 Tuvalu 0 1000 t compare
- 3 Bahrain 0 1000 t compare
- 3 Marshall Islands 0 1000 t compare
- 3 Bhutan 0 1000 t compare
- 3 Tonga 0 1000 t compare
- 3 Qatar 0 1000 t compare
- 3 Cuba 0 1000 t compare
- 3 Kiribati 0 1000 t compare
- 3 China, Macao SAR 0 1000 t compare
- 3 Comoros 0 1000 t compare
- 3 Djibouti 0 1000 t compare
- 3 Guinea-Bissau 0 1000 t compare
- 3 Liberia 0 1000 t compare
- 3 Guinea 0 1000 t compare
- 3 Afghanistan 0 1000 t compare
- 3 Solomon Islands 0 1000 t compare
- 3 Samoa 0 1000 t compare
- 3 Vanuatu 0 1000 t compare
- 3 Gambia 0 1000 t compare
- 3 Saint Kitts and Nevis 0 1000 t compare
- 3 Papua New Guinea 0 1000 t compare
- 3 Sao Tome and Principe 0 1000 t compare
- 3 Gabon 0 1000 t compare
- 3 Haiti 0 1000 t compare
- 3 Angola 0 1000 t compare
- 3 China, Hong Kong SAR 0 1000 t compare
- 3 Antigua and Barbuda 0 1000 t compare
- 3 French Polynesia 0 1000 t compare
- 3 Congo 0 1000 t compare
- 3 Burkina Faso 0 1000 t compare
- 3 Maldives 0 1000 t compare
- 3 Barbados 0 1000 t compare
- 3 Libya 0 1000 t compare
- 3 Dominican Republic 0 1000 t compare
- 3 Paraguay 0 1000 t compare
- 3 Bahamas 0 1000 t compare
- 3 Grenada 0 1000 t compare
- 3 Sierra Leone 0 1000 t compare
- 3 Jordan 0 1000 t compare
- 3 Myanmar 0 1000 t compare
- 3 Nicaragua 0 1000 t compare
- 3 Saint Vincent and the Grenadines 0 1000 t compare
- 3 Belize 0 1000 t compare
- 3 Mauritania 0 1000 t compare
- 3 Suriname 0 1000 t compare
- 3 Costa Rica 0 1000 t compare
- 3 El Salvador 0 1000 t compare
- 3 Fiji 0 1000 t compare
- 3 Cameroon 0 1000 t compare
- 3 Kuwait 0 1000 t compare
- 3 Argentina 0 1000 t compare
- 3 Iceland 0 1000 t compare
- 3 Lesotho 0 1000 t compare
- 3 Malaysia 0 1000 t compare
- 3 Guyana 0 1000 t compare
- 3 Cambodia 0 1000 t compare
- 3 Seychelles 0 1000 t compare
- 3 China, Taiwan Province of 0 1000 t compare
- 3 Algeria 0 1000 t compare
- 3 Panama 0 1000 t compare
- 3 Jamaica 0 1000 t compare
- 3 Saudi Arabia 0 1000 t compare
- 3 Saint Lucia 0 1000 t compare
- 3 Niger 0 1000 t compare
- 3 Ghana 0 1000 t compare
- 3 Eswatini 0 1000 t compare
- 3 Botswana 0 1000 t compare
- 3 India 0 1000 t compare
- 3 Madagascar 0 1000 t compare
- 3 Bangladesh 0 1000 t compare
- 3 Turkmenistan 0 1000 t compare
- 3 Malawi 0 1000 t compare
- 3 Mauritius 0 1000 t compare
- 3 Honduras 0 1000 t compare
- 3 Namibia 0 1000 t compare
- 3 Iraq 0 1000 t compare
- 3 Tunisia 0 1000 t compare
- 3 Pakistan 0 1000 t compare
- 3 Nigeria 0 1000 t compare
- 3 Senegal 0 1000 t compare
- 3 Philippines 0 1000 t compare
- 3 New Caledonia 0 1000 t compare
- 3 Mozambique 0 1000 t compare
- 3 Lebanon 0 1000 t compare
- 3 Oman 0 1000 t compare
- 3 Albania 0 1000 t compare
- 3 Yemen 0 1000 t compare
- 3 Finland 0 1000 t compare
- 3 Israel 0 1000 t compare
- 3 Rwanda 0 1000 t compare
- 3 Indonesia 0 1000 t compare
- 3 Malta 0 1000 t compare
- 3 Sri Lanka 0 1000 t compare
- 3 Belarus 0 1000 t compare
- 3 Bosnia and Herzegovina 0 1000 t compare
- 3 Ethiopia 0 1000 t compare
- 3 United Arab Emirates 0 1000 t compare
- 3 Colombia 0 1000 t compare
- 3 Croatia 0 1000 t compare
- 3 Uganda 0 1000 t compare
- 3 Georgia 0 1000 t compare
- 3 Guatemala 0 1000 t compare
- 3 Austria 0 1000 t compare
- 3 Montenegro 0 1000 t compare
- 3 Cyprus 0 1000 t compare
- 3 Canada 0 1000 t compare
- 3 Ireland 0 1000 t compare
- 3 Denmark 0 1000 t compare
- 3 Republic of Korea 0 1000 t compare
- 3 Trinidad and Tobago 0 1000 t compare
- 3 Australia 0 1000 t compare
- 3 Poland 0 1000 t compare
- 3 Belgium 0 1000 t compare
- 3 Norway 0 1000 t compare
- 3 Zimbabwe 0 1000 t compare
- 3 Thailand 0 1000 t compare
- 3 Estonia 0 1000 t compare
- 3 Latvia 0 1000 t compare
- 3 Chile 0 1000 t compare
- 3 Ecuador 0 1000 t compare
- 3 Zambia 0 1000 t compare
- 3 Tajikistan 0 1000 t compare
- 3 Kyrgyzstan 0 1000 t compare
- 3 Bulgaria 0 1000 t compare
- 3 North Macedonia 0 1000 t compare
- 3 Uruguay 0 1000 t compare
- 3 Luxembourg 0 1000 t compare
- 3 Kenya 0 1000 t compare
- 3 New Zealand 0 1000 t compare
- 3 France 0 1000 t compare
- 3 Morocco 0 1000 t compare
- 3 Nepal 0 1000 t compare
- 3 Serbia 0 1000 t compare
- 3 Sweden 0 1000 t compare
- 3 Egypt 0 1000 t compare
- 3 Uzbekistan 0 1000 t compare
- 3 Greece 0 1000 t compare
- 3 Mexico 0 1000 t compare
- 3 Peru 0 1000 t compare
- 3 Slovenia 0 1000 t compare
- 3 Germany 0 1000 t compare
- 3 Slovakia 0 1000 t compare
- 3 Switzerland 0 1000 t compare
- 3 Netherlands (Kingdom of the) 0 1000 t compare
- 3 Hungary 0 1000 t compare
- 3 Italy 0 1000 t compare
- 3 South Africa 0 1000 t compare
- 3 Portugal 0 1000 t compare
- 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 3 Russian Federation 0 1000 t compare
- 3 Romania 0 1000 t compare
- 3 Ukraine 0 1000 t compare
- 3 Australia and New Zealand 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 oats — residuals in Southern Asia?
- Oats — residuals in Southern Asia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest oats — residuals recorded in Southern Asia?
- The highest recorded value was 2 1000 t in 2015.
- What is the lowest oats — residuals recorded in Southern Asia?
- The lowest recorded value was -8 1000 t in 2018.
- How does Southern Asia rank for oats — residuals?
- Southern Asia ranks 4th out of 38 groups 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 Oats — Residuals. 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.