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...
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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 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.
- World 58 1000 t
- Asia 40 1000 t
- Southern Asia 25 1000 t
- Net Food Importing Developing Countries (NFIDCs) 15 1000 t
- Africa 10 1000 t
- Least Developed Countries (LDCs) 10 1000 t
- Low Income Food Deficit Countries (LIFDCs) 10 1000 t
- Eastern Africa 8 1000 t
- South-eastern Asia 6 1000 t
- Western Asia 5 1000 t
- Americas 4 1000 t
- Eastern Asia 4 1000 t
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.