Tea (including mate) β Stock Variation in Small Island Developing States (SIDS)
Small Island Developing States (SIDS): Tea (including mate) β Stock Variation was 0 1000 t in 2023. β Volatile
Tea (including mate) β Stock Variation in Small Island Developing States (SIDS), 2010β2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, tea (including mate) β stock variation in Small Island Developing States (SIDS) stood at 0 1000 t.
Over the whole period, tea (including mate) β stock variation in Small Island Developing States (SIDS) peaked at 1 1000 t in 2017 and was at its lowest, -1 1000 t, in 2010.
That places Small Island Developing States (SIDS) 12th out of 31 groups with data for 2023, putting it 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 | -0.1 1000 t | -1 1000 t | 1 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Small Island Developing States (SIDS)
- 9 Mauritania 1 1000 t compare
- 9 Syrian Arab Republic 1 1000 t compare
- 9 Italy 1 1000 t compare
- 9 Nepal 1 1000 t compare
- 13 Micronesia (Federated States of) 0 1000 t compare
- 13 Tuvalu 0 1000 t compare
- 13 Nauru 0 1000 t compare
- 13 Tonga 0 1000 t compare
- 13 Marshall Islands 0 1000 t compare
- 13 Bhutan 0 1000 t compare
- 13 Qatar 0 1000 t compare
- 13 Bahrain 0 1000 t compare
- 13 Cuba 0 1000 t compare
- 13 Turkmenistan 0 1000 t compare
- 13 Timor-Leste 0 1000 t compare
- 13 Kiribati 0 1000 t compare
- 13 Lesotho 0 1000 t compare
- 13 Comoros 0 1000 t compare
- 13 Djibouti 0 1000 t compare
- 13 Guinea-Bissau 0 1000 t compare
- 13 Sao Tome and Principe 0 1000 t compare
- 13 Tajikistan 0 1000 t compare
- 13 China, Macao SAR 0 1000 t compare
- 13 Micronesia 0 1000 t compare
- 13 Liberia 0 1000 t compare
- 13 Afghanistan 0 1000 t compare
- 13 Mongolia 0 1000 t compare
- 13 Saint Kitts and Nevis 0 1000 t compare
- 13 Solomon Islands 0 1000 t compare
- 13 Gambia 0 1000 t compare
- 13 Albania 0 1000 t compare
- 13 Libya 0 1000 t compare
- 13 Sierra Leone 0 1000 t compare
- 13 Vanuatu 0 1000 t compare
- 13 Suriname 0 1000 t compare
- 13 Cabo Verde 0 1000 t compare
- 13 Montenegro 0 1000 t compare
- 13 Maldives 0 1000 t compare
- 13 Saint Vincent and the Grenadines 0 1000 t compare
- 13 Armenia 0 1000 t compare
- 13 Kuwait 0 1000 t compare
- 13 Iceland 0 1000 t compare
- 13 Seychelles 0 1000 t compare
- 13 French Polynesia 0 1000 t compare
- 13 Grenada 0 1000 t compare
- 13 Samoa 0 1000 t compare
- 13 Estonia 0 1000 t compare
- 13 Gabon 0 1000 t compare
- 13 Guyana 0 1000 t compare
- 13 Eswatini 0 1000 t compare
- 13 Georgia 0 1000 t compare
- 13 Bosnia and Herzegovina 0 1000 t compare
- 13 Lithuania 0 1000 t compare
- 13 Haiti 0 1000 t compare
- 13 Republic of Moldova 0 1000 t compare
- 13 Papua New Guinea 0 1000 t compare
- 13 Saint Lucia 0 1000 t compare
- 13 North Macedonia 0 1000 t compare
- 13 Guinea 0 1000 t compare
- 13 Jordan 0 1000 t compare
- 13 Niger 0 1000 t compare
- 13 Angola 0 1000 t compare
- 13 Oman 0 1000 t compare
- 13 Bahamas 0 1000 t compare
- 13 Iraq 0 1000 t compare
- 13 New Caledonia 0 1000 t compare
- 13 Azerbaijan 0 1000 t compare
- 13 Finland 0 1000 t compare
- 13 Congo 0 1000 t compare
- 13 Uruguay 0 1000 t compare
- 13 Paraguay 0 1000 t compare
- 13 Namibia 0 1000 t compare
- 13 Algeria 0 1000 t compare
- 13 Slovakia 0 1000 t compare
- 13 Latvia 0 1000 t compare
- 13 Ukraine 0 1000 t compare
- 13 Luxembourg 0 1000 t compare
- 13 Antigua and Barbuda 0 1000 t compare
- 13 Viet Nam 0 1000 t compare
- 13 Barbados 0 1000 t compare
- 13 Burkina Faso 0 1000 t compare
- 13 Chile 0 1000 t compare
- 13 Ireland 0 1000 t compare
- 13 Serbia 0 1000 t compare
- 13 Tunisia 0 1000 t compare
- 13 Croatia 0 1000 t compare
- 13 Czechia 0 1000 t compare
- 13 Argentina 0 1000 t compare
- 13 Norway 0 1000 t compare
- 13 Saudi Arabia 0 1000 t compare
- 13 Myanmar 0 1000 t compare
- 13 Panama 0 1000 t compare
- 13 Slovenia 0 1000 t compare
- 13 Mauritius 0 1000 t compare
- 13 Bulgaria 0 1000 t compare
- 13 Israel 0 1000 t compare
- 13 Belgium 0 1000 t compare
- 13 Netherlands (Kingdom of the) 0 1000 t compare
- 13 Dominican Republic 0 1000 t compare
- 13 Belize 0 1000 t compare
- 13 Nicaragua 0 1000 t compare
- 13 Rwanda 0 1000 t compare
- 13 Romania 0 1000 t compare
- 13 Jamaica 0 1000 t compare
- 13 Poland 0 1000 t compare
- 13 Iran (Islamic Republic of) 0 1000 t compare
- 13 Yemen 0 1000 t compare
- 13 Denmark 0 1000 t compare
- 13 Switzerland 0 1000 t compare
- 13 Portugal 0 1000 t compare
- 13 Malawi 0 1000 t compare
- 13 El Salvador 0 1000 t compare
- 13 Russian Federation 0 1000 t compare
- 13 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 13 Madagascar 0 1000 t compare
- 13 Zambia 0 1000 t compare
- 13 New Zealand 0 1000 t compare
- 13 Canada 0 1000 t compare
- 13 Trinidad and Tobago 0 1000 t compare
- 13 Lebanon 0 1000 t compare
- 13 Mozambique 0 1000 t compare
- 13 Malta 0 1000 t compare
- 13 Democratic Republic of the Congo 0 1000 t compare
- 13 Austria 0 1000 t compare
- 13 France 0 1000 t compare
- 13 Malaysia 0 1000 t compare
- 13 Fiji 0 1000 t compare
- 13 Sweden 0 1000 t compare
- 13 Ghana 0 1000 t compare
- 13 Kazakhstan 0 1000 t compare
- 13 Bolivia (Plurinational State of) 0 1000 t compare
- 13 Botswana 0 1000 t compare
- 13 Ecuador 0 1000 t compare
- 13 Hungary 0 1000 t compare
- 13 China, Taiwan Province of 0 1000 t compare
- 13 Morocco 0 1000 t compare
- 13 Australia 0 1000 t compare
- 13 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 13 Polynesia 0 1000 t compare
- 13 Greece 0 1000 t compare
- 13 CΓ΄te d'Ivoire 0 1000 t compare
- 13 Germany 0 1000 t compare
- 13 Cameroon 0 1000 t compare
- 13 Cyprus 0 1000 t compare
- 13 Cambodia 0 1000 t compare
- 13 Bangladesh 0 1000 t compare
- 13 Nigeria 0 1000 t compare
- 13 Uganda 0 1000 t compare
- 13 Honduras 0 1000 t compare
- 13 Costa Rica 0 1000 t compare
- 13 Sri Lanka 0 1000 t compare
- 13 Peru 0 1000 t compare
- 13 Spain 0 1000 t compare
- 13 India 0 1000 t compare
- 13 Brazil 0 1000 t compare
- 13 Mexico 0 1000 t compare
- 13 Egypt 0 1000 t compare
- 13 Guatemala 0 1000 t compare
- 13 Australia and New Zealand 0 1000 t compare
- 13 Indonesia 0 1000 t compare
- 13 Colombia 0 1000 t compare
- 13 Melanesia 0 1000 t compare
- 13 Caribbean 0 1000 t compare
More agriculture & rural data for Small Island Developing States (SIDS)
- Swine / pigs β Stocks 5.69 million An (2024)
- Meat of pig with the bone, fresh or chilled β Yield/Carcass Weight 53 kg/An (2024)
- Meat of pig with the bone, fresh or chilled β Production 275,419 t (2024)
- Meat of pig with the bone, fresh or chilled β Producing 5.22 million An (2024)
- Bananas β Production 4.28 million t (2024)
- Bananas β Area harvested 257,039 ha (2024)
- Tomatoes β Production 592,065 t (2024)
- Unmanufactured tobacco β Production 30,372 t (2024)
- Unmanufactured tobacco β Area harvested 22,608 ha (2024)
- Fat of pigs β Producing Animals/Slaughtered 5.22 million An (2024)
Frequently asked questions
- What is tea (including mate) β stock variation in Small Island Developing States (SIDS)?
- Tea (including mate) β stock variation in Small Island Developing States (SIDS) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea (including mate) β stock variation recorded in Small Island Developing States (SIDS)?
- The highest recorded value was 1 1000 t in 2017.
- What is the lowest tea (including mate) β stock variation recorded in Small Island Developing States (SIDS)?
- The lowest recorded value was -1 1000 t in 2010.
- How does Small Island Developing States (SIDS) rank for tea (including mate) β stock variation?
- Small Island Developing States (SIDS) ranks 12th out of 31 groups with data for 2023.
- Where does this Small Island Developing States (SIDS) data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) β Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 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.