Cloves — Import quantity 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 — Import quantity is currently reported for 176 countries. The highest value is 24 1000 t in Indonesia; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 0.4261 1000 t.
Over the past decade 5 countries rose and 2 fell. The largest increase was in China (up 200.0%), and the largest decrease in Madagascar (down 100.0%).
Cloves — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 24 1000 t | 2023 | — | volatile |
| 2 | India | 22 1000 t | 2023 | up 100.0% | rising |
| 3 | United Arab Emirates | 5 1000 t | 2023 | up 25.0% | rising |
| 4 | China | 3 1000 t | 2023 | up 200.0% | volatile |
| 5 | Bangladesh | 2 1000 t | 2023 | — | volatile |
| 5 | Pakistan | 2 1000 t | 2023 | up 100.0% | rising |
| 5 | Saudi Arabia | 2 1000 t | 2023 | up 100.0% | rising |
| 5 | China, mainland | 2 1000 t | 2023 | — | volatile |
| 9 | Germany | 1 1000 t | 2023 | unchanged | flat |
| 9 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 9 | Egypt | 1 1000 t | 2023 | unchanged | volatile |
| 9 | Iraq | 1 1000 t | 2023 | — | volatile |
| 9 | Malaysia | 1 1000 t | 2023 | unchanged | volatile |
| 9 | Peru | 1 1000 t | 2023 | — | volatile |
| 9 | Yemen | 1 1000 t | 2023 | — | volatile |
| 9 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 9 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 9 | Viet Nam | 1 1000 t | 2023 | down 66.7% | volatile |
| 9 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 9 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | falling |
| 9 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 22 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 22 | Angola | 0 1000 t | 2023 | — | flat |
| 22 | Albania | 0 1000 t | 2023 | — | flat |
| 22 | Argentina | 0 1000 t | 2023 | — | flat |
| 22 | Armenia | 0 1000 t | 2023 | — | flat |
| 22 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 22 | Australia | 0 1000 t | 2023 | — | flat |
| 22 | Austria | 0 1000 t | 2023 | — | flat |
| 22 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 22 | Belgium | 0 1000 t | 2023 | — | flat |
| 22 | Burkina Faso | 0 1000 t | 2022 | — | flat |
| 22 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 22 | Bahrain | 0 1000 t | 2023 | — | flat |
| 22 | Bahamas | 0 1000 t | 2023 | — | flat |
| 22 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 22 | Belarus | 0 1000 t | 2023 | — | flat |
| 22 | Belize | 0 1000 t | 2023 | — | flat |
| 22 | Brazil | 0 1000 t | 2023 | — | flat |
| 22 | Barbados | 0 1000 t | 2023 | — | flat |
| 22 | Bhutan | 0 1000 t | 2023 | — | flat |
| 22 | Botswana | 0 1000 t | 2023 | — | flat |
| 22 | Canada | 0 1000 t | 2023 | — | flat |
| 22 | Switzerland | 0 1000 t | 2023 | — | flat |
| 22 | Chile | 0 1000 t | 2023 | — | flat |
| 22 | Cameroon | 0 1000 t | 2023 | — | flat |
| 22 | Congo | 0 1000 t | 2023 | — | flat |
| 22 | Colombia | 0 1000 t | 2023 | — | flat |
| 22 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 22 | Cuba | 0 1000 t | 2019 | — | flat |
| 22 | Cyprus | 0 1000 t | 2023 | — | flat |
| 22 | Czechia | 0 1000 t | 2023 | — | flat |
| 22 | Djibouti | 0 1000 t | 2023 | — | flat |
| 22 | Denmark | 0 1000 t | 2023 | — | flat |
| 22 | Algeria | 0 1000 t | 2023 | — | volatile |
| 22 | Ecuador | 0 1000 t | 2023 | — | flat |
| 22 | Spain | 0 1000 t | 2023 | — | flat |
| 22 | Estonia | 0 1000 t | 2023 | — | flat |
| 22 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 22 | Finland | 0 1000 t | 2023 | — | flat |
| 22 | Fiji | 0 1000 t | 2023 | — | flat |
| 22 | France | 0 1000 t | 2023 | — | flat |
| 22 | Gabon | 0 1000 t | 2023 | — | flat |
| 22 | Georgia | 0 1000 t | 2023 | — | flat |
| 22 | Ghana | 0 1000 t | 2023 | — | volatile |
| 22 | Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 22 | Greece | 0 1000 t | 2023 | — | flat |
| 22 | Grenada | 0 1000 t | 2023 | — | flat |
| 22 | Guatemala | 0 1000 t | 2023 | — | flat |
| 22 | Guyana | 0 1000 t | 2023 | — | flat |
| 22 | Honduras | 0 1000 t | 2023 | — | flat |
| 22 | Croatia | 0 1000 t | 2023 | — | flat |
| 22 | Haiti | 0 1000 t | 2023 | — | flat |
| 22 | Hungary | 0 1000 t | 2023 | — | flat |
| 22 | Ireland | 0 1000 t | 2023 | — | flat |
| 22 | Iceland | 0 1000 t | 2023 | — | flat |
| 22 | Israel | 0 1000 t | 2023 | — | flat |
| 22 | Italy | 0 1000 t | 2023 | — | flat |
| 22 | Jamaica | 0 1000 t | 2023 | — | flat |
| 22 | Jordan | 0 1000 t | 2023 | — | flat |
| 22 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 22 | Kenya | 0 1000 t | 2023 | — | flat |
| 22 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 22 | Cambodia | 0 1000 t | 2023 | — | flat |
| 22 | Kiribati | 0 1000 t | 2023 | — | flat |
| 22 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 22 | Kuwait | 0 1000 t | 2023 | — | flat |
| 22 | Lebanon | 0 1000 t | 2023 | — | flat |
| 22 | Liberia | 0 1000 t | 2023 | — | flat |
| 22 | Libya | 0 1000 t | 2023 | — | flat |
| 22 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 22 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 22 | Lesotho | 0 1000 t | 2023 | — | flat |
| 22 | Lithuania | 0 1000 t | 2023 | — | flat |
| 22 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 22 | Latvia | 0 1000 t | 2023 | — | flat |
| 22 | Morocco | 0 1000 t | 2023 | — | flat |
| 22 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Maldives | 0 1000 t | 2023 | — | flat |
| 22 | Mexico | 0 1000 t | 2023 | — | volatile |
| 22 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 22 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 22 | Malta | 0 1000 t | 2023 | — | flat |
| 22 | Myanmar | 0 1000 t | 2023 | — | flat |
| 22 | Montenegro | 0 1000 t | 2023 | — | flat |
| 22 | Mongolia | 0 1000 t | 2023 | — | flat |
| 22 | Mozambique | 0 1000 t | 2023 | — | flat |
| 22 | Mauritania | 0 1000 t | 2023 | — | flat |
| 22 | Mauritius | 0 1000 t | 2023 | — | flat |
| 22 | Malawi | 0 1000 t | 2023 | — | flat |
| 22 | Namibia | 0 1000 t | 2023 | — | flat |
| 22 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 22 | Niger | 0 1000 t | 2023 | — | flat |
| 22 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 22 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 22 | Norway | 0 1000 t | 2023 | — | flat |
| 22 | Nepal | 0 1000 t | 2023 | — | volatile |
| 22 | Nauru | 0 1000 t | 2023 | — | flat |
| 22 | New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Oman | 0 1000 t | 2023 | — | flat |
| 22 | Panama | 0 1000 t | 2023 | — | flat |
| 22 | Philippines | 0 1000 t | 2023 | — | flat |
| 22 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Poland | 0 1000 t | 2023 | — | flat |
| 22 | Portugal | 0 1000 t | 2023 | — | flat |
| 22 | Paraguay | 0 1000 t | 2023 | — | flat |
| 22 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Qatar | 0 1000 t | 2023 | — | flat |
| 22 | Romania | 0 1000 t | 2023 | — | flat |
| 22 | Rwanda | 0 1000 t | 2023 | — | flat |
| 22 | Senegal | 0 1000 t | 2023 | — | volatile |
| 22 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 22 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 22 | El Salvador | 0 1000 t | 2023 | — | flat |
| 22 | Serbia | 0 1000 t | 2023 | — | flat |
| 22 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 22 | Suriname | 0 1000 t | 2023 | — | flat |
| 22 | Slovakia | 0 1000 t | 2023 | — | flat |
| 22 | Slovenia | 0 1000 t | 2023 | — | flat |
| 22 | Sweden | 0 1000 t | 2023 | — | flat |
| 22 | Eswatini | 0 1000 t | 2023 | — | flat |
| 22 | Seychelles | 0 1000 t | 2023 | — | flat |
| 22 | Thailand | 0 1000 t | 2023 | — | flat |
| 22 | Tajikistan | 0 1000 t | 2022 | — | flat |
| 22 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 22 | Tonga | 0 1000 t | 2023 | — | flat |
| 22 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 22 | Tunisia | 0 1000 t | 2023 | — | flat |
| 22 | Uganda | 0 1000 t | 2023 | — | flat |
| 22 | Ukraine | 0 1000 t | 2023 | — | flat |
| 22 | Uruguay | 0 1000 t | 2023 | — | flat |
| 22 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 22 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 22 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 22 | Samoa | 0 1000 t | 2023 | — | flat |
| 22 | Zambia | 0 1000 t | 2023 | — | flat |
| 22 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 22 | Micronesia | 0 1000 t | 2023 | — | flat |
| 22 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 22 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 22 | Melanesia | 0 1000 t | 2023 | — | flat |
| 22 | Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 22 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 22 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 22 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 22 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 22 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 22 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 22 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 22 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 22 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 22 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 22 | 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 82 1000 t
- Asia 67 1000 t
- Southern Asia 27 1000 t
- South-eastern Asia 25 1000 t
- Western Asia 11 1000 t
- Net Food Importing Developing Countries (NFIDCs) 9 1000 t
- Europe 5 1000 t
- Americas 5 1000 t
- Least Developed Countries (LDCs) 5 1000 t
- Africa 4 1000 t
- European Union (27) 4 1000 t
- Low Income Food Deficit Countries (LIFDCs) 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.