Sugar cane — Export 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 — Export quantity is currently reported for 94 countries. The highest value is 190 1000 t in Myanmar; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 3.38 1000 t.
Over the past decade 4 countries rose and 5 fell. The largest increase was in Lao People's Democratic Republic (up 265.2%), and the largest decrease in Colombia (down 100.0%).
Sugar cane — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Myanmar | 190 1000 t | 2023 | up 175.4% | rising |
| 2 | Lao People's Democratic Republic | 84 1000 t | 2023 | up 265.2% | volatile |
| 3 | Viet Nam | 11 1000 t | 2023 | — | volatile |
| 4 | Malaysia | 8 1000 t | 2023 | down 20.0% | volatile |
| 5 | China | 4 1000 t | 2023 | up 33.3% | volatile |
| 5 | Lebanon | 4 1000 t | 2023 | — | volatile |
| 5 | China, mainland | 4 1000 t | 2023 | up 33.3% | volatile |
| 8 | Cyprus | 2 1000 t | 2023 | down 50.0% | falling |
| 8 | Morocco | 2 1000 t | 2023 | — | volatile |
| 8 | Türkiye | 2 1000 t | 2023 | — | volatile |
| 11 | Angola | 1 1000 t | 2023 | — | volatile |
| 11 | Brazil | 1 1000 t | 2023 | — | volatile |
| 11 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 11 | Algeria | 1 1000 t | 2023 | unchanged | volatile |
| 11 | India | 1 1000 t | 2023 | — | volatile |
| 11 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 11 | Uganda | 1 1000 t | 2023 | — | volatile |
| 18 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 18 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 18 | Australia | 0 1000 t | 2023 | — | flat |
| 18 | Belgium | 0 1000 t | 2023 | — | flat |
| 18 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 18 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 18 | Barbados | 0 1000 t | 2021 | — | flat |
| 18 | Botswana | 0 1000 t | 2023 | — | flat |
| 18 | Canada | 0 1000 t | 2020 | — | flat |
| 18 | Switzerland | 0 1000 t | 2023 | — | flat |
| 18 | Cameroon | 0 1000 t | 2023 | — | flat |
| 18 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Czechia | 0 1000 t | 2023 | — | flat |
| 18 | Germany | 0 1000 t | 2023 | — | flat |
| 18 | Denmark | 0 1000 t | 2023 | — | flat |
| 18 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 18 | Ecuador | 0 1000 t | 2022 | — | flat |
| 18 | Egypt | 0 1000 t | 2023 | — | volatile |
| 18 | Spain | 0 1000 t | 2023 | — | volatile |
| 18 | Ethiopia | 0 1000 t | 2021 | — | flat |
| 18 | Fiji | 0 1000 t | 2023 | — | flat |
| 18 | France | 0 1000 t | 2023 | — | flat |
| 18 | Ghana | 0 1000 t | 2023 | — | flat |
| 18 | Guatemala | 0 1000 t | 2022 | — | flat |
| 18 | Guyana | 0 1000 t | 2021 | — | flat |
| 18 | Honduras | 0 1000 t | 2022 | — | flat |
| 18 | Haiti | 0 1000 t | 2023 | — | flat |
| 18 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 18 | Ireland | 0 1000 t | 2020 | — | flat |
| 18 | Israel | 0 1000 t | 2023 | — | flat |
| 18 | Italy | 0 1000 t | 2023 | — | flat |
| 18 | Jamaica | 0 1000 t | 2023 | — | flat |
| 18 | Kenya | 0 1000 t | 2016 | — | flat |
| 18 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Kuwait | 0 1000 t | 2023 | — | flat |
| 18 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 18 | Sri Lanka | 0 1000 t | 2019 | — | flat |
| 18 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 18 | Mexico | 0 1000 t | 2022 | down 100.0% | volatile |
| 18 | Malta | 0 1000 t | 2021 | — | flat |
| 18 | Mauritius | 0 1000 t | 2023 | — | flat |
| 18 | Malawi | 0 1000 t | 2022 | — | flat |
| 18 | Namibia | 0 1000 t | 2023 | — | flat |
| 18 | Niger | 0 1000 t | 2022 | — | flat |
| 18 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 18 | Nicaragua | 0 1000 t | 2022 | — | flat |
| 18 | Nepal | 0 1000 t | 2017 | — | flat |
| 18 | Oman | 0 1000 t | 2023 | — | flat |
| 18 | Peru | 0 1000 t | 2023 | — | flat |
| 18 | Philippines | 0 1000 t | 2019 | — | flat |
| 18 | Poland | 0 1000 t | 2023 | — | flat |
| 18 | Portugal | 0 1000 t | 2023 | — | flat |
| 18 | Paraguay | 0 1000 t | 2019 | — | flat |
| 18 | Rwanda | 0 1000 t | 2022 | — | flat |
| 18 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 18 | El Salvador | 0 1000 t | 2022 | — | flat |
| 18 | Serbia | 0 1000 t | 2023 | — | flat |
| 18 | Slovakia | 0 1000 t | 2023 | — | flat |
| 18 | Slovenia | 0 1000 t | 2023 | — | flat |
| 18 | Sweden | 0 1000 t | 2023 | — | flat |
| 18 | Eswatini | 0 1000 t | 2019 | — | flat |
| 18 | Thailand | 0 1000 t | 2023 | — | volatile |
| 18 | Tunisia | 0 1000 t | 2023 | — | flat |
| 18 | Zambia | 0 1000 t | 2023 | — | flat |
| 18 | Zimbabwe | 0 1000 t | 2021 | — | flat |
| 18 | Melanesia | 0 1000 t | 2023 | — | flat |
| 18 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 18 | Caribbean | 0 1000 t | 2023 | — | flat |
| 18 | China, Hong Kong SAR | 0 1000 t | 2018 | — | flat |
| 18 | Republic of Korea | 0 1000 t | 2014 | — | flat |
| 18 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 18 | Syrian Arab Republic | 0 1000 t | 2022 | — | flat |
| 18 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 18 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 18 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 18 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 18 | United Kingdom of Great Britain and Northern Ireland | 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 316 1000 t
- Asia 308 1000 t
- South-eastern Asia 293 1000 t
- Net Food Importing Developing Countries (NFIDCs) 279 1000 t
- Least Developed Countries (LDCs) 276 1000 t
- Land Locked Developing Countries (LLDCs) 84 1000 t
- Western Asia 8 1000 t
- Africa 5 1000 t
- Americas 4 1000 t
- Eastern Asia 4 1000 t
- Northern Africa 3 1000 t
- European Union (27) 2 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.