Sweet potatoes — Residuals in Western Asia
Western Asia: Sweet potatoes — Residuals was 0 1000 t in 2023. ◆ Volatile
Sweet potatoes — Residuals in Western Asia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Western Asia recorded 0 1000 t for sweet potatoes — residuals in 2023.
The figure is up 100.0% over ten years.
Over the whole period, sweet potatoes — residuals in Western Asia peaked at 4 1000 t in 2017 and was at its lowest, -10 1000 t, in 2010.
Western Asia ranks 1st of 29 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 | -0.2 1000 t | -10 1000 t | 4 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Western Asia
- 1 Nauru 0 1000 t
- 1 Marshall Islands 0 1000 t
- 1 Tonga 0 1000 t
- 1 Bhutan 0 1000 t
- 1 Bahrain 0 1000 t
- 1 Qatar 0 1000 t
- 1 Cuba 0 1000 t
- 1 Kiribati 0 1000 t
- 1 Comoros 0 1000 t
- 1 China, Macao SAR 0 1000 t
- 1 Sao Tome and Principe 0 1000 t
- 1 Liberia 0 1000 t
- 1 Djibouti 0 1000 t
- 1 Saint Kitts and Nevis 0 1000 t
- 1 Solomon Islands 0 1000 t
- 1 Afghanistan 0 1000 t
- 1 Samoa 0 1000 t
- 1 Libya 0 1000 t
- 1 Vanuatu 0 1000 t
- 1 Saint Vincent and the Grenadines 0 1000 t
- 1 Iceland 0 1000 t
- 1 Grenada 0 1000 t
- 1 French Polynesia 0 1000 t
- 1 Suriname 0 1000 t
- 1 Guinea-Bissau 0 1000 t
- 1 Gabon 0 1000 t
- 1 Jordan 0 1000 t
- 1 Bahamas 0 1000 t
- 1 Albania 0 1000 t
- 1 Barbados 0 1000 t
- 1 Kuwait 0 1000 t
- 1 Mongolia 0 1000 t
- 1 Saint Lucia 0 1000 t
- 1 Iraq 0 1000 t
- 1 Seychelles 0 1000 t
- 1 China, Hong Kong SAR 0 1000 t
- 1 Guyana 0 1000 t
- 1 Congo 0 1000 t
- 1 Finland 0 1000 t
- 1 Lesotho 0 1000 t
- 1 Maldives 0 1000 t
- 1 Armenia 0 1000 t
- 1 Haiti 0 1000 t
- 1 Malaysia 0 1000 t
- 1 Papua New Guinea 0 1000 t
- 1 Panama 0 1000 t
- 1 Mauritius 0 1000 t
- 1 Israel 0 1000 t
- 1 Gambia 0 1000 t
- 1 Oman 0 1000 t
- 1 Dominican Republic 0 1000 t
- 1 Azerbaijan 0 1000 t
- 1 Mauritania 0 1000 t
- 1 Trinidad and Tobago 0 1000 t
- 1 Norway 0 1000 t
- 1 Lebanon 0 1000 t
- 1 Algeria 0 1000 t
- 1 Denmark 0 1000 t compare
- 1 Antigua and Barbuda 0 1000 t
- 1 Costa Rica 0 1000 t
- 1 Croatia 0 1000 t
- 1 Guinea 0 1000 t
- 1 Ireland 0 1000 t
- 1 Argentina 0 1000 t
- 1 Paraguay 0 1000 t
- 1 Belgium 0 1000 t
- 1 Nicaragua 0 1000 t compare
- 1 Kyrgyzstan 0 1000 t
- 1 Malta 0 1000 t
- 1 North Macedonia 0 1000 t
- 1 Cambodia 0 1000 t
- 1 Cyprus 0 1000 t
- 1 Luxembourg 0 1000 t
- 1 Georgia 0 1000 t
- 1 United Arab Emirates 0 1000 t compare
- 1 Montenegro 0 1000 t
- 1 Bosnia and Herzegovina 0 1000 t
- 1 Belarus 0 1000 t
- 1 Estonia 0 1000 t
- 1 Jamaica 0 1000 t compare
- 1 Saudi Arabia 0 1000 t
- 1 Sierra Leone 0 1000 t
- 1 El Salvador 0 1000 t
- 1 Eswatini 0 1000 t
- 1 Philippines 0 1000 t
- 1 Angola 0 1000 t
- 1 Sweden 0 1000 t
- 1 Czechia 0 1000 t
- 1 Latvia 0 1000 t
- 1 Chile 0 1000 t
- 1 Serbia 0 1000 t
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 1 Bulgaria 0 1000 t
- 1 Poland 0 1000 t
- 1 Myanmar 0 1000 t
- 1 Austria 0 1000 t
- 1 Slovenia 0 1000 t compare
- 1 France 0 1000 t
- 1 Tunisia 0 1000 t
- 1 Netherlands (Kingdom of the) 0 1000 t
- 1 Slovak Republic 0 1000 t compare
- 1 Italy 0 1000 t
- 1 Greece 0 1000 t
- 1 Lithuania 0 1000 t
- 1 New Zealand 0 1000 t
- 1 Namibia 0 1000 t
- 1 Burkina Faso 0 1000 t
- 1 Belize 0 1000 t
- 1 New Caledonia 0 1000 t
- 1 Canada 0 1000 t
- 1 Uruguay 0 1000 t
- 1 Yemen 0 1000 t
- 1 Romania 0 1000 t
- 1 Brazil 0 1000 t
- 1 Cameroon 0 1000 t
- 1 Switzerland 0 1000 t
- 1 Ecuador 0 1000 t
- 1 Germany 0 1000 t
- 1 Thailand 0 1000 t
- 1 Bangladesh 0 1000 t
- 1 Madagascar 0 1000 t
- 1 Ghana 0 1000 t
- 1 China, Taiwan Province of 0 1000 t
- 1 Niger 0 1000 t
- 1 Hungary 0 1000 t
- 1 Botswana 0 1000 t
- 1 Pakistan 0 1000 t
- 1 Indonesia 0 1000 t
- 1 Colombia 0 1000 t
- 1 India 0 1000 t
- 1 Australia 0 1000 t
- 1 Ethiopia 0 1000 t
- 1 Peru 0 1000 t
- 1 Malawi 0 1000 t
- 1 Honduras 0 1000 t
- 1 Mexico 0 1000 t
- 1 Mozambique 0 1000 t
- 1 Republic of Korea 0 1000 t
- 1 Senegal 0 1000 t
- 1 Guatemala 0 1000 t compare
- 1 Nigeria 0 1000 t
- 1 Sri Lanka 0 1000 t
- 1 Rwanda 0 1000 t
- 1 Morocco 0 1000 t
- 1 Kazakhstan 0 1000 t
- 1 Russian Federation 0 1000 t
- 1 Zambia 0 1000 t compare
- 1 Uganda 0 1000 t compare
- 1 Zimbabwe 0 1000 t
- 1 Nepal 0 1000 t
- 1 Egypt 0 1000 t
- 1 China, mainland 0 1000 t
- 1 Australia and New Zealand 0 1000 t
- 1 Ukraine 0 1000 t
- 1 Kenya 0 1000 t
- 1 China (People’s Republic of) 0 1000 t
More agriculture & rural data for Western Asia
- Bananas — Area harvested 31,503 ha (2024)
- Tomatoes — Area harvested 291,165 ha (2024)
- Tomatoes — Yield 66,983 kg/ha (2024)
- Tomatoes — Production 19.50 million t (2024)
- Bananas — Production 1.37 million t (2024)
- Swine / pigs — Stocks 788,652 An (2024)
- Unmanufactured tobacco — Area harvested 110,431 ha (2024)
- Unmanufactured tobacco — Production 172,662 t (2024)
- Milk, Total — Milk Animals 70.79 million An (2024)
- Fruit Primary — Production 41.76 million t (2024)
Frequently asked questions
- What is sweet potatoes — residuals in Western Asia?
- Sweet potatoes — residuals in Western Asia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sweet potatoes — residuals recorded in Western Asia?
- The highest recorded value was 4 1000 t in 2017.
- What is the lowest sweet potatoes — residuals recorded in Western Asia?
- The lowest recorded value was -10 1000 t in 2010.
- How does Western Asia rank for sweet potatoes — residuals?
- Western Asia ranks 1st out of 29 groups with data for 2023.
- Is sweet potatoes — residuals rising or falling in Western Asia?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Western Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sweet potatoes — 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.