Sugar cane — 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
Sugar cane — Import quantity is currently reported for 121 countries. The highest value is 1,910 1000 t in China; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is 32.02 1000 t.
Over the past decade 5 countries rose and 5 fell. The largest increase was in United Arab Emirates (up 400.0%), and the largest decrease in Afghanistan (down 100.0%).
Sugar cane — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,910 1000 t | 2023 | up 105.6% | volatile |
| 2 | China, mainland | 1,909 1000 t | 2023 | up 105.7% | volatile |
| 3 | Saudi Arabia | 30 1000 t | 2023 | up 233.3% | volatile |
| 4 | United Arab Emirates | 5 1000 t | 2023 | up 400.0% | volatile |
| 5 | Israel | 3 1000 t | 2023 | — | volatile |
| 6 | Canada | 2 1000 t | 2023 | up 100.0% | rising |
| 6 | Switzerland | 2 1000 t | 2023 | — | rising |
| 6 | Thailand | 2 1000 t | 2023 | — | volatile |
| 6 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 6 | Türkiye | 2 1000 t | 2023 | unchanged | rising |
| 11 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 11 | Kuwait | 1 1000 t | 2023 | down 50.0% | volatile |
| 11 | Morocco | 1 1000 t | 2023 | — | volatile |
| 11 | Maldives | 1 1000 t | 2023 | — | volatile |
| 11 | Namibia | 1 1000 t | 2023 | — | volatile |
| 11 | Lao People's Democratic Republic | 1 1000 t | 2022 | — | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 11 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 19 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Australia | 0 1000 t | 2023 | — | flat |
| 19 | Austria | 0 1000 t | 2023 | — | flat |
| 19 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 19 | Belgium | 0 1000 t | 2023 | — | volatile |
| 19 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 19 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 19 | Bahamas | 0 1000 t | 2023 | — | flat |
| 19 | Belarus | 0 1000 t | 2021 | — | flat |
| 19 | Brazil | 0 1000 t | 2014 | — | flat |
| 19 | Botswana | 0 1000 t | 2023 | — | flat |
| 19 | Chile | 0 1000 t | 2021 | — | flat |
| 19 | Cameroon | 0 1000 t | 2020 | — | flat |
| 19 | Colombia | 0 1000 t | 2023 | — | flat |
| 19 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 19 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 19 | Czechia | 0 1000 t | 2023 | — | flat |
| 19 | Germany | 0 1000 t | 2023 | — | flat |
| 19 | Denmark | 0 1000 t | 2023 | — | flat |
| 19 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 19 | Algeria | 0 1000 t | 2023 | — | volatile |
| 19 | Ecuador | 0 1000 t | 2021 | — | flat |
| 19 | Egypt | 0 1000 t | 2023 | — | volatile |
| 19 | Spain | 0 1000 t | 2023 | — | volatile |
| 19 | Estonia | 0 1000 t | 2021 | — | flat |
| 19 | Finland | 0 1000 t | 2023 | — | flat |
| 19 | France | 0 1000 t | 2023 | — | flat |
| 19 | Gabon | 0 1000 t | 2023 | — | flat |
| 19 | Georgia | 0 1000 t | 2023 | — | flat |
| 19 | Ghana | 0 1000 t | 2023 | — | flat |
| 19 | Greece | 0 1000 t | 2023 | — | flat |
| 19 | Guatemala | 0 1000 t | 2023 | — | flat |
| 19 | Honduras | 0 1000 t | 2021 | — | flat |
| 19 | Hungary | 0 1000 t | 2023 | — | flat |
| 19 | Indonesia | 0 1000 t | 2021 | — | flat |
| 19 | India | 0 1000 t | 2023 | — | flat |
| 19 | Ireland | 0 1000 t | 2023 | — | volatile |
| 19 | Iraq | 0 1000 t | 2023 | — | flat |
| 19 | Iceland | 0 1000 t | 2023 | — | flat |
| 19 | Italy | 0 1000 t | 2023 | — | flat |
| 19 | Jamaica | 0 1000 t | 2023 | — | flat |
| 19 | Jordan | 0 1000 t | 2023 | — | flat |
| 19 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 19 | Kenya | 0 1000 t | 2022 | — | flat |
| 19 | Cambodia | 0 1000 t | 2023 | — | flat |
| 19 | Lebanon | 0 1000 t | 2023 | — | flat |
| 19 | Libya | 0 1000 t | 2023 | — | flat |
| 19 | Saint Lucia | 0 1000 t | 2021 | — | flat |
| 19 | Sri Lanka | 0 1000 t | 2022 | — | flat |
| 19 | Lesotho | 0 1000 t | 2023 | — | flat |
| 19 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 19 | Latvia | 0 1000 t | 2023 | — | flat |
| 19 | Mexico | 0 1000 t | 2019 | — | flat |
| 19 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 19 | Malta | 0 1000 t | 2023 | — | flat |
| 19 | Myanmar | 0 1000 t | 2018 | — | flat |
| 19 | Malawi | 0 1000 t | 2023 | — | flat |
| 19 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 19 | Niger | 0 1000 t | 2023 | — | volatile |
| 19 | Nigeria | 0 1000 t | 2023 | — | flat |
| 19 | Nicaragua | 0 1000 t | 2020 | — | flat |
| 19 | Norway | 0 1000 t | 2023 | — | flat |
| 19 | Nepal | 0 1000 t | 2023 | — | volatile |
| 19 | New Zealand | 0 1000 t | 2023 | — | flat |
| 19 | Oman | 0 1000 t | 2023 | — | flat |
| 19 | Pakistan | 0 1000 t | 2022 | — | flat |
| 19 | Peru | 0 1000 t | 2023 | — | flat |
| 19 | Papua New Guinea | 0 1000 t | 2020 | — | flat |
| 19 | Poland | 0 1000 t | 2023 | — | flat |
| 19 | Portugal | 0 1000 t | 2023 | — | flat |
| 19 | Romania | 0 1000 t | 2023 | — | flat |
| 19 | Rwanda | 0 1000 t | 2022 | — | flat |
| 19 | Serbia | 0 1000 t | 2023 | — | flat |
| 19 | Slovakia | 0 1000 t | 2023 | — | flat |
| 19 | Slovenia | 0 1000 t | 2023 | — | flat |
| 19 | Sweden | 0 1000 t | 2023 | — | flat |
| 19 | Eswatini | 0 1000 t | 2023 | — | flat |
| 19 | Seychelles | 0 1000 t | 2023 | — | flat |
| 19 | Trinidad and Tobago | 0 1000 t | 2022 | — | flat |
| 19 | Ukraine | 0 1000 t | 2023 | — | flat |
| 19 | Uruguay | 0 1000 t | 2023 | — | flat |
| 19 | Vanuatu | 0 1000 t | 2021 | — | flat |
| 19 | Samoa | 0 1000 t | 2019 | — | flat |
| 19 | Yemen | 0 1000 t | 2022 | — | flat |
| 19 | Zambia | 0 1000 t | 2023 | — | flat |
| 19 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 19 | Melanesia | 0 1000 t | 2023 | — | flat |
| 19 | Polynesia | 0 1000 t | 2023 | — | flat |
| 19 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | volatile |
| 19 | Caribbean | 0 1000 t | 2023 | — | flat |
| 19 | Bolivia (Plurinational State of) | 0 1000 t | 2020 | — | flat |
| 19 | China, Hong Kong SAR | 0 1000 t | 2017 | down 100.0% | volatile |
| 19 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 19 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 19 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 19 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 19 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2014 | — | volatile |
| 19 | Viet Nam | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 19 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 19 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 19 | Netherlands (Kingdom of the) | 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 1,976 1000 t
- Asia 1,958 1000 t
- Eastern Asia 1,910 1000 t
- Western Asia 44 1000 t
- Americas 8 1000 t
- Northern America 8 1000 t
- United States of America 6 1000 t
- Net Food Importing Developing Countries (NFIDCs) 6 1000 t
- Europe 5 1000 t
- Africa 4 1000 t
- Northern Africa 4 1000 t
- Western Europe 3 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.