Sugar cane — Feed 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 — Feed is currently reported for 83 countries. The highest value is 57,366 1000 t in India; the lowest is 0 1000 t in Côte d'Ivoire.
The median across all reporting countries is 50 1000 t, and the mean is 1,530 1000 t.
Over the past decade 31 countries rose and 31 fell. The largest increase was in Melanesia (up 48,300.0%), and the largest decrease in Cote d'Ivoire (down 100.0%).
Sugar cane — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 57,366 1000 t | 2023 | up 1,028.1% | volatile |
| 2 | China | 18,314 1000 t | 2023 | up 92.1% | rising |
| 2 | China, mainland | 18,314 1000 t | 2023 | up 92.1% | rising |
| 4 | Brazil | 7,050 1000 t | 2023 | up 246.6% | rising |
| 5 | Pakistan | 4,903 1000 t | 2023 | up 2,223.7% | volatile |
| 6 | Cuba | 2,930 1000 t | 2019 | up 4,085.7% | volatile |
| 7 | United States | 2,457 1000 t | 2023 | up 21.5% | rising |
| 8 | Paraguay | 2,453 1000 t | 2023 | up 34.5% | rising |
| 9 | Mexico | 1,814 1000 t | 2023 | up 140.3% | volatile |
| 10 | Caribbean | 1,553 1000 t | 2023 | up 42.3% | volatile |
| 11 | Indonesia | 1,454 1000 t | 2023 | — | volatile |
| 12 | Guatemala | 910 1000 t | 2023 | — | volatile |
| 13 | South Africa | 635 1000 t | 2023 | — | volatile |
| 14 | Thailand | 544 1000 t | 2023 | down 6.0% | volatile |
| 15 | Argentina | 488 1000 t | 2023 | — | volatile |
| 16 | Iran (Islamic Republic of) | 485 1000 t | 2023 | — | rising |
| 17 | Melanesia | 484 1000 t | 2023 | up 48,300.0% | volatile |
| 18 | Fiji | 481 1000 t | 2023 | up 48,000.0% | volatile |
| 19 | Malawi | 434 1000 t | 2023 | up 176.4% | rising |
| 20 | Haiti | 412 1000 t | 2023 | down 0.2% | rising |
| 21 | Philippines | 399 1000 t | 2023 | down 54.8% | falling |
| 22 | El Salvador | 323 1000 t | 2023 | up 404.7% | volatile |
| 23 | Nepal | 227 1000 t | 2023 | up 33.5% | rising |
| 24 | Costa Rica | 219 1000 t | 2023 | up 3,028.6% | volatile |
| 25 | Nicaragua | 213 1000 t | 2023 | down 0.5% | flat |
| 26 | Kenya | 209 1000 t | 2023 | down 33.4% | volatile |
| 27 | Laos | 171 1000 t | 2023 | up 189.8% | volatile |
| 27 | Lao People's Democratic Republic | 171 1000 t | 2023 | up 189.8% | volatile |
| 29 | Bangladesh | 138 1000 t | 2023 | up 160.4% | volatile |
| 30 | Nigeria | 133 1000 t | 2023 | down 37.9% | rising |
| 31 | Burkina Faso | 117 1000 t | 2023 | up 50.0% | rising |
| 32 | Morocco | 100 1000 t | 2023 | — | falling |
| 33 | Madagascar | 96 1000 t | 2023 | down 48.9% | falling |
| 34 | Mauritius | 89 1000 t | 2023 | — | volatile |
| 35 | Belize | 78 1000 t | 2023 | up 188.9% | volatile |
| 35 | Guyana | 78 1000 t | 2023 | down 62.0% | falling |
| 37 | Vietnam | 71 1000 t | 2023 | up 82.1% | falling |
| 37 | Viet Nam | 71 1000 t | 2023 | up 82.1% | falling |
| 39 | Honduras | 65 1000 t | 2023 | down 21.7% | rising |
| 40 | Democratic Republic of the Congo | 55 1000 t | 2023 | up 27.9% | rising |
| 41 | Zambia | 53 1000 t | 2023 | down 54.7% | volatile |
| 42 | Cameroon | 50 1000 t | 2023 | up 177.8% | volatile |
| 43 | Guinea | 43 1000 t | 2023 | up 152.9% | volatile |
| 44 | Suriname | 38 1000 t | 2023 | up 2.7% | rising |
| 45 | Afghanistan | 37 1000 t | 2023 | down 54.3% | volatile |
| 46 | Bolivia (Plurinational State of) | 33 1000 t | 2023 | up 1,550.0% | volatile |
| 47 | Gabon | 32 1000 t | 2023 | down 17.9% | rising |
| 48 | Panama | 28 1000 t | 2023 | down 46.2% | volatile |
| 49 | Jamaica | 27 1000 t | 2023 | down 78.0% | falling |
| 50 | Congo | 21 1000 t | 2023 | up 75.0% | volatile |
| 51 | Ecuador | 18 1000 t | 2023 | down 83.3% | volatile |
| 51 | Cabo Verde | 18 1000 t | 2023 | down 18.2% | falling |
| 53 | United Republic of Tanzania | 17 1000 t | 2023 | down 74.2% | volatile |
| 54 | Zimbabwe | 11 1000 t | 2023 | up 175.0% | volatile |
| 55 | Barbados | 8 1000 t | 2023 | — | volatile |
| 56 | Grenada | 4 1000 t | 2023 | up 33.3% | falling |
| 57 | Ethiopia | 3 1000 t | 2023 | down 40.0% | flat |
| 57 | Israel | 3 1000 t | 2023 | — | volatile |
| 59 | Angola | 2 1000 t | 2023 | down 33.3% | volatile |
| 59 | Switzerland | 2 1000 t | 2023 | — | rising |
| 61 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 61 | United Kingdom | 1 1000 t | 2023 | — | volatile |
| 61 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 61 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 61 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 66 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Ireland | 0 1000 t | 2023 | — | volatile |
| 66 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Liberia | 0 1000 t | 2023 | — | volatile |
| 66 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 66 | Russia | 0 1000 t | 2022 | — | volatile |
| 66 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 66 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Russian Federation | 0 1000 t | 2022 | — | volatile |
| 66 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 104,595 1000 t
- Asia 84,120 1000 t
- Southern Asia 63,157 1000 t
- Eastern Asia 18,319 1000 t
- Americas 17,817 1000 t
- South America 10,158 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,719 1000 t
- Central America 3,648 1000 t
- Land Locked Developing Countries (LLDCs) 3,590 1000 t
- South-Eastern Asia 2,639 1000 t
- Northern America 2,457 1000 t
- United States of America 2,457 1000 t
- Small island developing States (SIDS) 2,337 1000 t
- Africa 2,170 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,995 1000 t
- Least Developed Countries (LDCs) 1,855 1000 t
- Eastern Africa 914 1000 t
- Southern Africa 636 1000 t
- Oceania 484 1000 t
- Western Africa 315 1000 t
- Middle Africa 203 1000 t
- Northern Africa 103 1000 t
- Western Asia 5 1000 t
- Europe 4 1000 t
- Western Europe 2 1000 t
- European Union (27) 1 1000 t
- Northern Europe 1 1000 t
- Southern Europe 1 1000 t
- Eastern Europe 0 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.