Cloves — Stock Variation in Western Africa
Western Africa: Cloves — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Cloves — Stock Variation in Western Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for cloves — stock variation in Western Africa is 0 1000 t, measured in 2023. That is the lowest value across all 14 years on record.
Over the whole period, cloves — stock variation in Western Africa peaked at 1 1000 t in 2021 and was at its lowest, 0 1000 t, in 2010.
Western Africa ranks 3rd of 31 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 1000 t | 0 1000 t | 0 1000 t | 10 |
| 2020s | 0.25 1000 t | 0 1000 t | 1 1000 t | 4 |
Countries ranked near Western Africa
- 1 Indonesia 3 1000 t compare
- 2 Nauru 0 1000 t compare
- 2 Tonga 0 1000 t compare
- 2 Marshall Islands 0 1000 t compare
- 2 Bhutan 0 1000 t compare
- 2 Qatar 0 1000 t compare
- 2 Bahrain 0 1000 t compare
- 2 Cuba 0 1000 t compare
- 2 Djibouti 0 1000 t compare
- 2 Micronesia 0 1000 t compare
- 2 Tajikistan 0 1000 t compare
- 2 Mauritania 0 1000 t compare
- 2 China, Macao SAR 0 1000 t compare
- 2 Solomon Islands 0 1000 t compare
- 2 Libya 0 1000 t compare
- 2 Albania 0 1000 t compare
- 2 Suriname 0 1000 t compare
- 2 Sierra Leone 0 1000 t compare
- 2 Montenegro 0 1000 t compare
- 2 Cabo Verde 0 1000 t compare
- 2 Saint Vincent and the Grenadines 0 1000 t compare
- 2 Maldives 0 1000 t compare
- 2 Armenia 0 1000 t compare
- 2 Kuwait 0 1000 t compare
- 2 Iceland 0 1000 t compare
- 2 Kyrgyzstan 0 1000 t compare
- 2 Seychelles 0 1000 t compare
- 2 French Polynesia 0 1000 t compare
- 2 Gabon 0 1000 t compare
- 2 Estonia 0 1000 t compare
- 2 Uzbekistan 0 1000 t compare
- 2 Haiti 0 1000 t compare
- 2 Eswatini 0 1000 t compare
- 2 Grenada 0 1000 t compare
- 2 Lithuania 0 1000 t compare
- 2 Guyana 0 1000 t compare
- 2 Republic of Moldova 0 1000 t compare
- 2 Bosnia and Herzegovina 0 1000 t compare
- 2 Georgia 0 1000 t compare
- 2 Guinea 0 1000 t compare
- 2 Papua New Guinea 0 1000 t compare
- 2 Angola 0 1000 t compare
- 2 Jordan 0 1000 t compare
- 2 North Macedonia 0 1000 t compare
- 2 Oman 0 1000 t compare
- 2 Saint Lucia 0 1000 t compare
- 2 Iraq 0 1000 t compare
- 2 Bahamas 0 1000 t compare
- 2 Finland 0 1000 t compare
- 2 Congo 0 1000 t compare
- 2 Niger 0 1000 t compare
- 2 Belarus 0 1000 t compare
- 2 Azerbaijan 0 1000 t compare
- 2 New Caledonia 0 1000 t compare
- 2 Paraguay 0 1000 t compare
- 2 Uruguay 0 1000 t compare
- 2 Namibia 0 1000 t compare
- 2 Slovakia 0 1000 t compare
- 2 Latvia 0 1000 t compare
- 2 Algeria 0 1000 t compare
- 2 Luxembourg 0 1000 t compare
- 2 Ukraine 0 1000 t compare
- 2 Burkina Faso 0 1000 t compare
- 2 Chile 0 1000 t compare
- 2 Barbados 0 1000 t compare
- 2 Antigua and Barbuda 0 1000 t compare
- 2 Ireland 0 1000 t compare
- 2 Viet Nam 0 1000 t compare
- 2 Saudi Arabia 0 1000 t compare
- 2 Croatia 0 1000 t compare
- 2 Norway 0 1000 t compare
- 2 Czechia 0 1000 t compare
- 2 Serbia 0 1000 t compare
- 2 Tunisia 0 1000 t compare
- 2 Argentina 0 1000 t compare
- 2 Panama 0 1000 t compare
- 2 Myanmar 0 1000 t compare
- 2 Slovenia 0 1000 t compare
- 2 Israel 0 1000 t compare
- 2 Belgium 0 1000 t compare
- 2 Bulgaria 0 1000 t compare
- 2 Netherlands (Kingdom of the) 0 1000 t compare
- 2 Nicaragua 0 1000 t compare
- 2 Mauritius 0 1000 t compare
- 2 Dominican Republic 0 1000 t compare
- 2 Romania 0 1000 t compare
- 2 Poland 0 1000 t compare
- 2 Belize 0 1000 t compare
- 2 Switzerland 0 1000 t compare
- 2 Denmark 0 1000 t compare
- 2 Yemen 0 1000 t compare
- 2 Rwanda 0 1000 t compare
- 2 Portugal 0 1000 t compare
- 2 Jamaica 0 1000 t compare
- 2 Iran (Islamic Republic of) 0 1000 t compare
- 2 China, Hong Kong SAR 0 1000 t compare
- 2 El Salvador 0 1000 t compare
- 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 2 Russian Federation 0 1000 t compare
- 2 New Zealand 0 1000 t compare
- 2 Malawi 0 1000 t compare
- 2 Canada 0 1000 t compare
- 2 Mozambique 0 1000 t compare
- 2 Lebanon 0 1000 t compare
- 2 Austria 0 1000 t compare
- 2 Madagascar 0 1000 t compare
- 2 France 0 1000 t compare
- 2 Zambia 0 1000 t compare
- 2 Malta 0 1000 t compare
- 2 Trinidad and Tobago 0 1000 t compare
- 2 Democratic Republic of the Congo 0 1000 t compare
- 2 Sweden 0 1000 t compare
- 2 Syrian Arab Republic 0 1000 t compare
- 2 Türkiye 0 1000 t compare
- 2 Malaysia 0 1000 t compare
- 2 Fiji 0 1000 t compare
- 2 Kazakhstan 0 1000 t compare
- 2 Ghana 0 1000 t compare
- 2 Bolivia (Plurinational State of) 0 1000 t compare
- 2 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 2 China, Taiwan Province of 0 1000 t compare
- 2 Botswana 0 1000 t compare
- 2 Hungary 0 1000 t compare
- 2 Ecuador 0 1000 t compare
- 2 Australia 0 1000 t compare
- 2 Morocco 0 1000 t compare
- 2 Senegal 0 1000 t compare
- 2 Greece 0 1000 t compare
- 2 United Arab Emirates 0 1000 t compare
- 2 Polynesia 0 1000 t compare
- 2 Germany 0 1000 t compare
- 2 Zimbabwe 0 1000 t compare
- 2 Ethiopia 0 1000 t compare
- 2 Cyprus 0 1000 t compare
- 2 Côte d'Ivoire 0 1000 t compare
- 2 Italy 0 1000 t compare
- 2 Cameroon 0 1000 t compare
- 2 Bangladesh 0 1000 t compare
- 2 Cambodia 0 1000 t compare
- 2 Nigeria 0 1000 t compare
- 2 Republic of Korea 0 1000 t compare
- 2 Pakistan 0 1000 t compare
- 2 Philippines 0 1000 t compare
- 2 Uganda 0 1000 t compare
- 2 Costa Rica 0 1000 t compare
- 2 Honduras 0 1000 t compare
- 2 Spain 0 1000 t compare
- 2 Peru 0 1000 t compare
- 2 India 0 1000 t compare
- 2 Brazil 0 1000 t compare
- 2 Thailand 0 1000 t compare
- 2 Mexico 0 1000 t compare
- 2 United Republic of Tanzania 0 1000 t compare
- 2 Egypt 0 1000 t compare
- 2 China, mainland 0 1000 t compare
- 2 Australia and New Zealand 0 1000 t compare
- 2 Colombia 0 1000 t compare
- 2 Guatemala 0 1000 t compare
- 2 Nepal 0 1000 t compare
- 2 Kenya 0 1000 t compare
- 2 Melanesia 0 1000 t compare
- 2 China 0 1000 t compare
More agriculture & rural data for Western Africa
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 48 kg/An (2024)
- Fat of pigs — Producing Animals/Slaughtered 14.80 million An (2024)
- Fat of pigs — Production 50,778 t (2024)
- Swine / pigs — Stocks 17.11 million An (2024)
- Tomatoes — Area harvested 1.05 million ha (2024)
- Tomatoes — Yield 6,608 kg/ha (2024)
- Tomatoes — Production 6.91 million t (2024)
- Unmanufactured tobacco — Area harvested 39,728 ha (2024)
- Bananas — Production 8.72 million t (2024)
- Bananas — Area harvested 598,635 ha (2024)
Frequently asked questions
- What is cloves — stock variation in Western Africa?
- Cloves — stock variation in Western Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cloves — stock variation recorded in Western Africa?
- The highest recorded value was 1 1000 t in 2021.
- What is the lowest cloves — stock variation recorded in Western Africa?
- The lowest recorded value was 0 1000 t in 2010.
- How does Western Africa rank for cloves — stock variation?
- Western Africa ranks 3rd out of 31 groups with data for 2023.
- Where does this Western Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cloves — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
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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.