Sugar cane — Residuals 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 — Residuals is currently reported for 58 countries. The highest value is 2,304 1000 t in Zimbabwe; the lowest is -2,467 1000 t in Ethiopia.
The median across all reporting countries is 0 1000 t, and the mean is -27.5 1000 t.
Over the past decade 13 countries rose and 5 fell. The largest increase was in Russia (up 100.0%), and the largest decrease in Argentina (down 100.0%).
Sugar cane — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Zimbabwe | 2,304 1000 t | 2023 | — | volatile |
| 2 | Uganda | 256 1000 t | 2023 | — | volatile |
| 3 | Peru | 17 1000 t | 2023 | — | volatile |
| 4 | Nepal | 0 1000 t | 2023 | — | volatile |
| 4 | Panama | 0 1000 t | 2023 | — | volatile |
| 4 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 4 | Philippines | 0 1000 t | 2023 | — | volatile |
| 4 | Russia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 4 | Thailand | 0 1000 t | 2023 | — | volatile |
| 4 | Turkey | 0 1000 t | 2023 | — | volatile |
| 4 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 4 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 4 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 4 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 4 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 4 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 4 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 4 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 4 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Malaysia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Spain | 0 1000 t | 2023 | — | volatile |
| 4 | Algeria | 0 1000 t | 2023 | — | volatile |
| 4 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 4 | Belize | 0 1000 t | 2023 | — | volatile |
| 4 | Ghana | 0 1000 t | 2023 | — | volatile |
| 4 | China | 0 1000 t | 2023 | — | volatile |
| 4 | Guinea | 0 1000 t | 2023 | — | volatile |
| 4 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 4 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 4 | Barbados | 0 1000 t | 2023 | — | volatile |
| 4 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Kenya | 0 1000 t | 2023 | — | volatile |
| 4 | Laos | 0 1000 t | 2023 | — | volatile |
| 4 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 4 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 4 | Morocco | 0 1000 t | 2023 | — | volatile |
| 4 | Australia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 4 | Mauritius | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Malawi | 0 1000 t | 2023 | up 100.0% | volatile |
| 163 | Libya | -1 1000 t | 2023 | — | volatile |
| 164 | Cyprus | -2 1000 t | 2023 | — | volatile |
| 165 | Eswatini | -3 1000 t | 2023 | — | volatile |
| 166 | Lebanon | -4 1000 t | 2023 | — | volatile |
| 167 | Sierra Leone | -40 1000 t | 2023 | — | volatile |
| 168 | Colombia | -511 1000 t | 2023 | — | volatile |
| 169 | Pakistan | -1,144 1000 t | 2023 | up 19.2% | volatile |
| 170 | Ethiopia | -2,467 1000 t | 2023 | down 79.3% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Asia 1,073 1000 t
- Land Locked Developing Countries (LLDCs) 154 1000 t
- Low Income Food Deficit Countries (LIFDCs) 117 1000 t
- Africa 113 1000 t
- Eastern Africa 93 1000 t
- Middle Africa 65 1000 t
- Northern America 0 1000 t
- United States of America 0 1000 t
- Southern Europe 0 1000 t
- Central America 0 1000 t
- Europe 0 1000 t
- Oceania 0 1000 t
- South-Eastern Asia 0 1000 t
- Eastern Europe 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Northern Africa -1 1000 t
- European Union (27) -2 1000 t
- Southern Africa -3 1000 t
- Western Asia -6 1000 t
- Western Africa -40 1000 t
- Asia -77 1000 t
- World -458 1000 t
- South America -494 1000 t
- Americas -494 1000 t
- Southern Asia -1,144 1000 t
- Least Developed Countries (LDCs) -2,186 1000 t
- Net Food Importing Developing Countries (NFIDCs) -3,316 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.