Cloves — Food by country

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...

Countries reporting
172
Highest
21 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,661

What the numbers show

Cloves — Food is currently reported for 172 countries. The highest value is 21 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 0 1000 t, and the mean is 0.2907 1000 t.

Over the past decade 4 countries rose and 5 fell. The largest increase was in China (up 200.0%), and the largest decrease in United Arab Emirates (down 100.0%).

Cloves — Food: full country ranking

#Country LatestYear 10-year changeTrend
1 India 21 1000 t 2023 up 90.9% rising
2 Indonesia 5 1000 t 2023 unchanged falling
3 China 3 1000 t 2023 up 200.0% volatile
3 China, mainland 3 1000 t 2023 up 200.0% volatile
3 United Republic of Tanzania 3 1000 t 2023 unchanged falling
6 Bangladesh 2 1000 t 2023 volatile
6 Comoros 2 1000 t 2023 volatile
6 Kenya 2 1000 t 2023 unchanged rising
6 Saudi Arabia 2 1000 t 2023 up 100.0% rising
10 Iraq 1 1000 t 2023 volatile
10 Malaysia 1 1000 t 2023 unchanged volatile
10 Pakistan 1 1000 t 2023 unchanged rising
10 Peru 1 1000 t 2023 volatile
10 Caribbean 1 1000 t 2023 volatile
10 Iran (Islamic Republic of) 1 1000 t 2023 volatile
10 Viet Nam 1 1000 t 2023 down 50.0% volatile
17 Afghanistan 0 1000 t 2023 flat
17 Angola 0 1000 t 2023 flat
17 United Arab Emirates 0 1000 t 2023 down 100.0% volatile
17 Argentina 0 1000 t 2023 flat
17 Antigua and Barbuda 0 1000 t 2023 flat
17 Australia 0 1000 t 2023 flat
17 Austria 0 1000 t 2023 flat
17 Belgium 0 1000 t 2023 flat
17 Burkina Faso 0 1000 t 2023 flat
17 Bulgaria 0 1000 t 2023 flat
17 Bahrain 0 1000 t 2023 flat
17 Bahamas 0 1000 t 2023 flat
17 Bosnia and Herzegovina 0 1000 t 2023 flat
17 Belarus 0 1000 t 2023 flat
17 Belize 0 1000 t 2023 flat
17 Brazil 0 1000 t 2023 flat
17 Barbados 0 1000 t 2023 flat
17 Bhutan 0 1000 t 2023 flat
17 Botswana 0 1000 t 2023 flat
17 Canada 0 1000 t 2023 flat
17 Switzerland 0 1000 t 2023 flat
17 Chile 0 1000 t 2023 flat
17 Cameroon 0 1000 t 2023 flat
17 Congo 0 1000 t 2023 flat
17 Colombia 0 1000 t 2023 flat
17 Costa Rica 0 1000 t 2023 flat
17 Cuba 0 1000 t 2019 flat
17 Cyprus 0 1000 t 2023 flat
17 Czechia 0 1000 t 2023 flat
17 Germany 0 1000 t 2023 volatile
17 Djibouti 0 1000 t 2023 flat
17 Denmark 0 1000 t 2023 flat
17 Dominican Republic 0 1000 t 2023 flat
17 Algeria 0 1000 t 2023 volatile
17 Ecuador 0 1000 t 2023 flat
17 Egypt 0 1000 t 2023 down 100.0% volatile
17 Spain 0 1000 t 2023 flat
17 Estonia 0 1000 t 2023 flat
17 Ethiopia 0 1000 t 2023 volatile
17 Finland 0 1000 t 2023 flat
17 Fiji 0 1000 t 2023 flat
17 France 0 1000 t 2023 flat
17 Gabon 0 1000 t 2023 flat
17 Georgia 0 1000 t 2023 flat
17 Ghana 0 1000 t 2023 volatile
17 Guinea 0 1000 t 2023 flat
17 Guinea-Bissau 0 1000 t 2023 flat
17 Greece 0 1000 t 2023 flat
17 Grenada 0 1000 t 2023 flat
17 Guatemala 0 1000 t 2023 flat
17 Guyana 0 1000 t 2023 flat
17 Honduras 0 1000 t 2023 flat
17 Croatia 0 1000 t 2023 flat
17 Haiti 0 1000 t 2023 flat
17 Hungary 0 1000 t 2023 flat
17 Ireland 0 1000 t 2023 flat
17 Iceland 0 1000 t 2023 flat
17 Israel 0 1000 t 2023 flat
17 Italy 0 1000 t 2023 flat
17 Jamaica 0 1000 t 2023 flat
17 Jordan 0 1000 t 2023 flat
17 Kazakhstan 0 1000 t 2023 flat
17 Kyrgyzstan 0 1000 t 2023 flat
17 Cambodia 0 1000 t 2023 flat
17 Kiribati 0 1000 t 2023 flat
17 Saint Kitts and Nevis 0 1000 t 2023 flat
17 Kuwait 0 1000 t 2023 flat
17 Lebanon 0 1000 t 2023 flat
17 Liberia 0 1000 t 2023 flat
17 Libya 0 1000 t 2023 flat
17 Saint Lucia 0 1000 t 2023 flat
17 Sri Lanka 0 1000 t 2023 volatile
17 Lesotho 0 1000 t 2023 flat
17 Lithuania 0 1000 t 2023 flat
17 Luxembourg 0 1000 t 2023 flat
17 Latvia 0 1000 t 2023 flat
17 Morocco 0 1000 t 2023 flat
17 Madagascar 0 1000 t 2023 down 100.0% volatile
17 Maldives 0 1000 t 2023 flat
17 Mexico 0 1000 t 2023 volatile
17 Marshall Islands 0 1000 t 2023 flat
17 North Macedonia 0 1000 t 2023 flat
17 Malta 0 1000 t 2023 flat
17 Myanmar 0 1000 t 2023 flat
17 Montenegro 0 1000 t 2023 flat
17 Mongolia 0 1000 t 2023 flat
17 Mozambique 0 1000 t 2023 flat
17 Mauritania 0 1000 t 2023 flat
17 Mauritius 0 1000 t 2023 flat
17 Malawi 0 1000 t 2023 flat
17 Namibia 0 1000 t 2023 flat
17 New Caledonia 0 1000 t 2023 flat
17 Niger 0 1000 t 2023 flat
17 Nigeria 0 1000 t 2023 volatile
17 Nicaragua 0 1000 t 2023 flat
17 Norway 0 1000 t 2023 flat
17 Nepal 0 1000 t 2023 volatile
17 Nauru 0 1000 t 2023 flat
17 New Zealand 0 1000 t 2023 flat
17 Oman 0 1000 t 2023 flat
17 Panama 0 1000 t 2023 flat
17 Philippines 0 1000 t 2023 flat
17 Papua New Guinea 0 1000 t 2023 flat
17 Poland 0 1000 t 2023 flat
17 Portugal 0 1000 t 2023 flat
17 Paraguay 0 1000 t 2023 flat
17 French Polynesia 0 1000 t 2023 flat
17 Qatar 0 1000 t 2023 flat
17 Romania 0 1000 t 2023 flat
17 Rwanda 0 1000 t 2023 flat
17 Senegal 0 1000 t 2023 flat
17 Solomon Islands 0 1000 t 2023 flat
17 El Salvador 0 1000 t 2023 flat
17 Serbia 0 1000 t 2023 flat
17 Sao Tome and Principe 0 1000 t 2023 flat
17 Suriname 0 1000 t 2023 flat
17 Slovakia 0 1000 t 2023 flat
17 Slovenia 0 1000 t 2023 flat
17 Sweden 0 1000 t 2023 flat
17 Eswatini 0 1000 t 2023 flat
17 Seychelles 0 1000 t 2023 flat
17 Thailand 0 1000 t 2023 flat
17 Tajikistan 0 1000 t 2023 flat
17 Turkmenistan 0 1000 t 2023 flat
17 Tonga 0 1000 t 2023 flat
17 Trinidad and Tobago 0 1000 t 2023 flat
17 Tunisia 0 1000 t 2023 flat
17 Uganda 0 1000 t 2023 flat
17 Ukraine 0 1000 t 2023 flat
17 Uruguay 0 1000 t 2023 flat
17 Uzbekistan 0 1000 t 2023 flat
17 Saint Vincent and the Grenadines 0 1000 t 2023 flat
17 Vanuatu 0 1000 t 2023 flat
17 Samoa 0 1000 t 2023 flat
17 Yemen 0 1000 t 2023 volatile
17 Zimbabwe 0 1000 t 2023 flat
17 Micronesia 0 1000 t 2023 flat
17 Timor-Leste 0 1000 t 2023 flat
17 Cabo Verde 0 1000 t 2023 flat
17 Melanesia 0 1000 t 2023 flat
17 Polynesia 0 1000 t 2023 flat
17 Democratic Republic of the Congo 0 1000 t 2023 flat
17 Bolivia (Plurinational State of) 0 1000 t 2023 flat
17 China, Hong Kong SAR 0 1000 t 2023 flat
17 Republic of Korea 0 1000 t 2023 flat
17 Republic of Moldova 0 1000 t 2023 flat
17 Russian Federation 0 1000 t 2023 flat
17 Syrian Arab Republic 0 1000 t 2023 flat
17 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
17 Türkiye 0 1000 t 2023 flat
17 Australia and New Zealand 0 1000 t 2023 flat
17 Côte d'Ivoire 0 1000 t 2023 flat
17 China, Taiwan Province of 0 1000 t 2023 flat
17 Netherlands (Kingdom of the) 0 1000 t 2023 down 100.0% volatile
17 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 volatile
17 China, Macao SAR 0 1000 t 2023 flat

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Cloves — Food
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
203 places, 2,661 data points, 2010–2023
Last refreshed

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.