Sugar cane — Losses 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 — Losses is currently reported for 99 countries. The highest value is 86,115 1000 t in Brazil; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 51 1000 t, and the mean is 1,388 1000 t.
Over the past decade 38 countries rose and 35 fell. The largest increase was in Egypt (up 559.9%), and the largest decrease in Panama (down 100.0%).
Sugar cane — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 86,115 1000 t | 2023 | up 1.9% | flat |
| 2 | India | 14,615 1000 t | 2023 | up 75.8% | rising |
| 3 | China | 5,342 1000 t | 2023 | down 17.0% | falling |
| 4 | China, mainland | 5,319 1000 t | 2023 | down 17.0% | falling |
| 5 | Pakistan | 4,714 1000 t | 2023 | up 29.9% | rising |
| 6 | Indonesia | 1,851 1000 t | 2023 | up 21.1% | rising |
| 7 | Colombia | 1,702 1000 t | 2023 | down 9.3% | falling |
| 8 | Australia | 1,698 1000 t | 2023 | up 16.3% | falling |
| 8 | Australia and New Zealand | 1,698 1000 t | 2023 | up 16.3% | falling |
| 10 | Myanmar | 1,289 1000 t | 2023 | up 4.2% | rising |
| 11 | Philippines | 1,165 1000 t | 2023 | down 11.9% | flat |
| 12 | Mexico | 1,120 1000 t | 2023 | down 8.5% | rising |
| 13 | Cuba | 914 1000 t | 2019 | up 46.5% | rising |
| 14 | Thailand | 905 1000 t | 2023 | down 6.3% | flat |
| 15 | Egypt | 904 1000 t | 2023 | up 559.9% | volatile |
| 16 | Caribbean | 719 1000 t | 2023 | down 44.3% | falling |
| 17 | Peru | 650 1000 t | 2023 | down 8.2% | flat |
| 18 | Viet Nam | 637 1000 t | 2023 | down 41.2% | falling |
| 19 | Bolivia (Plurinational State of) | 554 1000 t | 2023 | up 23.1% | rising |
| 20 | Iran (Islamic Republic of) | 484 1000 t | 2023 | up 37.5% | rising |
| 21 | Nicaragua | 375 1000 t | 2023 | up 3.6% | rising |
| 22 | Paraguay | 369 1000 t | 2023 | up 23.8% | rising |
| 23 | Zimbabwe | 307 1000 t | 2023 | up 44.1% | rising |
| 24 | Eswatini | 303 1000 t | 2023 | up 3.8% | rising |
| 25 | Kenya | 299 1000 t | 2023 | down 16.7% | rising |
| 26 | Zambia | 278 1000 t | 2023 | up 12.6% | rising |
| 27 | Guatemala | 264 1000 t | 2023 | down 1.9% | rising |
| 28 | Dominican Republic | 240 1000 t | 2023 | down 6.6% | rising |
| 29 | Costa Rica | 188 1000 t | 2023 | down 20.7% | flat |
| 30 | Madagascar | 170 1000 t | 2023 | up 9.0% | rising |
| 31 | Nepal | 168 1000 t | 2023 | up 6.3% | rising |
| 32 | Congo | 152 1000 t | 2023 | up 10.1% | rising |
| 33 | Nigeria | 151 1000 t | 2023 | down 79.8% | volatile |
| 34 | Malawi | 136 1000 t | 2023 | down 20.9% | flat |
| 35 | Mauritius | 132 1000 t | 2023 | down 35.6% | falling |
| 36 | Democratic Republic of the Congo | 116 1000 t | 2023 | up 7.4% | rising |
| 37 | Mozambique | 95 1000 t | 2023 | up 50.8% | rising |
| 37 | Melanesia | 95 1000 t | 2023 | down 8.7% | falling |
| 39 | Lao People's Democratic Republic | 86 1000 t | 2023 | up 45.8% | flat |
| 40 | Fiji | 84 1000 t | 2023 | down 3.4% | falling |
| 41 | Haiti | 83 1000 t | 2023 | up 3.8% | rising |
| 42 | Belize | 80 1000 t | 2023 | up 37.9% | rising |
| 43 | Ecuador | 65 1000 t | 2023 | down 84.3% | falling |
| 44 | Honduras | 63 1000 t | 2023 | up 5.0% | rising |
| 45 | Uganda | 62 1000 t | 2023 | up 63.2% | rising |
| 46 | Senegal | 58 1000 t | 2023 | up 13.7% | rising |
| 47 | Angola | 53 1000 t | 2023 | up 96.3% | rising |
| 48 | Ethiopia | 51 1000 t | 2023 | down 32.0% | rising |
| 48 | Guyana | 51 1000 t | 2023 | down 61.4% | falling |
| 48 | United Republic of Tanzania | 51 1000 t | 2023 | up 21.4% | rising |
| 51 | Cambodia | 45 1000 t | 2023 | up 2.3% | rising |
| 52 | Sri Lanka | 43 1000 t | 2023 | down 17.3% | flat |
| 53 | El Salvador | 36 1000 t | 2023 | down 2.7% | rising |
| 54 | Niger | 31 1000 t | 2023 | up 210.0% | rising |
| 55 | Uruguay | 29 1000 t | 2023 | up 45.0% | rising |
| 56 | Burkina Faso | 27 1000 t | 2023 | up 3.8% | flat |
| 57 | China, Taiwan Province of | 23 1000 t | 2023 | down 20.7% | falling |
| 58 | Jamaica | 22 1000 t | 2023 | down 70.7% | falling |
| 58 | Côte d'Ivoire | 22 1000 t | 2023 | up 15.8% | rising |
| 60 | Morocco | 21 1000 t | 2023 | down 36.4% | falling |
| 61 | Cameroon | 20 1000 t | 2023 | down 16.7% | falling |
| 62 | Argentina | 18 1000 t | 2023 | down 30.8% | falling |
| 63 | Guinea | 17 1000 t | 2023 | up 6.2% | rising |
| 64 | Gabon | 16 1000 t | 2023 | unchanged | rising |
| 65 | Liberia | 15 1000 t | 2023 | up 7.1% | rising |
| 66 | Papua New Guinea | 11 1000 t | 2023 | down 35.3% | falling |
| 67 | Ghana | 8 1000 t | 2023 | unchanged | flat |
| 68 | Suriname | 7 1000 t | 2023 | up 16.7% | rising |
| 69 | Rwanda | 6 1000 t | 2023 | up 20.0% | rising |
| 70 | Barbados | 4 1000 t | 2023 | down 55.6% | falling |
| 70 | Sierra Leone | 4 1000 t | 2023 | unchanged | flat |
| 72 | Afghanistan | 3 1000 t | 2023 | down 40.0% | falling |
| 72 | Bahamas | 3 1000 t | 2023 | unchanged | flat |
| 74 | Bangladesh | 2 1000 t | 2023 | down 33.3% | falling |
| 75 | Malaysia | 1 1000 t | 2023 | down 80.0% | volatile |
| 75 | French Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 75 | Cabo Verde | 1 1000 t | 2023 | down 50.0% | falling |
| 75 | Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 79 | Antigua and Barbuda | 0 1000 t | 2019 | — | flat |
| 79 | Bahrain | 0 1000 t | 2023 | — | flat |
| 79 | Bhutan | 0 1000 t | 2023 | — | flat |
| 79 | Djibouti | 0 1000 t | 2023 | — | flat |
| 79 | Spain | 0 1000 t | 2023 | — | flat |
| 79 | France | 0 1000 t | 2023 | — | flat |
| 79 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 79 | Grenada | 0 1000 t | 2023 | — | flat |
| 79 | Iraq | 0 1000 t | 2023 | — | volatile |
| 79 | Saint Kitts and Nevis | 0 1000 t | 2019 | — | flat |
| 79 | Lebanon | 0 1000 t | 2023 | — | flat |
| 79 | Saint Lucia | 0 1000 t | 2019 | — | flat |
| 79 | Oman | 0 1000 t | 2023 | — | flat |
| 79 | Panama | 0 1000 t | 2022 | down 100.0% | volatile |
| 79 | Portugal | 0 1000 t | 2023 | — | flat |
| 79 | Trinidad and Tobago | 0 1000 t | 2019 | — | flat |
| 79 | Ukraine | 0 1000 t | 2019 | — | flat |
| 79 | Samoa | 0 1000 t | 2023 | — | flat |
| 79 | Yemen | 0 1000 t | 2019 | — | flat |
| 79 | Russian Federation | 0 1000 t | 2019 | — | flat |
| 79 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 130,327 1000 t
- Americas 93,287 1000 t
- South America 89,560 1000 t
- Asia 31,411 1000 t
- Southern Asia 20,029 1000 t
- Net Food Importing Developing Countries (NFIDCs) 10,991 1000 t
- South-eastern Asia 5,979 1000 t
- Eastern Asia 5,403 1000 t
- Africa 3,835 1000 t
- Least Developed Countries (LDCs) 3,159 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,557 1000 t
- Land Locked Developing Countries (LLDCs) 2,447 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.