Sugar Crops — 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 Crops — Feed is currently reported for 123 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 37 1000 t, and the mean is 1,172 1000 t.
Over the past decade 44 countries rose and 48 fell. The largest increase was in Melanesia (up 48,300.0%), and the largest decrease in Albania (down 100.0%).
Sugar Crops — 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 | 20,018 1000 t | 2023 | up 82.1% | rising |
| 2 | China, mainland | 20,018 1000 t | 2023 | up 82.1% | rising |
| 4 | Brazil | 7,050 1000 t | 2023 | up 246.6% | rising |
| 5 | Pakistan | 4,933 1000 t | 2023 | up 2,226.9% | volatile |
| 6 | Russia | 3,565 1000 t | 2023 | down 27.8% | falling |
| 6 | Russian Federation | 3,565 1000 t | 2023 | down 27.8% | falling |
| 8 | Cuba | 2,930 1000 t | 2019 | up 4,085.7% | volatile |
| 9 | United States | 2,906 1000 t | 2023 | up 43.7% | rising |
| 10 | Germany | 2,818 1000 t | 2023 | — | volatile |
| 11 | Paraguay | 2,453 1000 t | 2023 | up 34.5% | rising |
| 12 | Mexico | 1,814 1000 t | 2023 | up 140.3% | volatile |
| 13 | Caribbean | 1,554 1000 t | 2023 | up 42.4% | volatile |
| 14 | Indonesia | 1,454 1000 t | 2023 | — | volatile |
| 15 | Iran (Islamic Republic of) | 911 1000 t | 2023 | up 276.4% | volatile |
| 16 | Guatemala | 910 1000 t | 2023 | — | volatile |
| 17 | France | 667 1000 t | 2023 | down 16.0% | flat |
| 18 | South Africa | 635 1000 t | 2023 | — | volatile |
| 19 | Thailand | 544 1000 t | 2023 | down 6.0% | volatile |
| 20 | Argentina | 488 1000 t | 2023 | — | volatile |
| 21 | Melanesia | 484 1000 t | 2023 | up 48,300.0% | volatile |
| 22 | Fiji | 481 1000 t | 2023 | up 48,000.0% | volatile |
| 23 | Malawi | 434 1000 t | 2023 | up 176.4% | rising |
| 24 | Haiti | 412 1000 t | 2023 | down 0.2% | rising |
| 25 | Philippines | 399 1000 t | 2023 | down 54.8% | falling |
| 26 | Turkey | 387 1000 t | 2023 | down 6.3% | rising |
| 26 | Türkiye | 387 1000 t | 2023 | down 6.3% | rising |
| 28 | Belarus | 369 1000 t | 2023 | up 129.2% | rising |
| 29 | El Salvador | 323 1000 t | 2023 | up 404.7% | volatile |
| 30 | Nepal | 227 1000 t | 2023 | up 33.5% | rising |
| 31 | Costa Rica | 219 1000 t | 2023 | up 3,028.6% | volatile |
| 32 | Nicaragua | 213 1000 t | 2023 | down 0.5% | flat |
| 33 | Kenya | 209 1000 t | 2023 | down 33.4% | volatile |
| 34 | Laos | 171 1000 t | 2023 | up 189.8% | volatile |
| 34 | Lao People's Democratic Republic | 171 1000 t | 2023 | up 189.8% | volatile |
| 36 | Switzerland | 167 1000 t | 2023 | — | volatile |
| 37 | Morocco | 166 1000 t | 2023 | up 53.7% | rising |
| 38 | Bangladesh | 138 1000 t | 2023 | up 160.4% | volatile |
| 39 | Nigeria | 133 1000 t | 2023 | down 37.9% | rising |
| 40 | Canada | 129 1000 t | 2023 | up 416.0% | volatile |
| 41 | Burkina Faso | 117 1000 t | 2023 | up 50.0% | rising |
| 42 | Belgium | 98 1000 t | 2023 | down 10.1% | rising |
| 43 | Madagascar | 96 1000 t | 2023 | down 48.9% | falling |
| 44 | Mauritius | 89 1000 t | 2023 | — | volatile |
| 44 | Sweden | 89 1000 t | 2023 | down 36.4% | falling |
| 46 | Moldova | 81 1000 t | 2023 | up 6.6% | falling |
| 46 | Republic of Moldova | 81 1000 t | 2023 | up 6.6% | falling |
| 48 | Belize | 78 1000 t | 2023 | up 188.9% | volatile |
| 48 | Guyana | 78 1000 t | 2023 | down 62.0% | falling |
| 50 | Czechia | 72 1000 t | 2023 | — | volatile |
| 51 | Vietnam | 71 1000 t | 2023 | up 82.1% | falling |
| 51 | Viet Nam | 71 1000 t | 2023 | up 82.1% | falling |
| 53 | Honduras | 65 1000 t | 2023 | down 21.7% | rising |
| 54 | Democratic Republic of the Congo | 55 1000 t | 2023 | up 27.9% | rising |
| 55 | Netherlands (Kingdom of the) | 54 1000 t | 2023 | — | volatile |
| 56 | Zambia | 53 1000 t | 2023 | down 54.7% | volatile |
| 57 | Cameroon | 50 1000 t | 2023 | up 177.8% | volatile |
| 58 | Spain | 44 1000 t | 2023 | up 266.7% | volatile |
| 59 | Guinea | 43 1000 t | 2023 | up 152.9% | volatile |
| 60 | Kyrgyzstan | 40 1000 t | 2023 | up 263.6% | volatile |
| 61 | Suriname | 38 1000 t | 2023 | up 2.7% | rising |
| 62 | Afghanistan | 37 1000 t | 2023 | down 54.9% | volatile |
| 63 | Denmark | 35 1000 t | 2023 | down 42.6% | falling |
| 64 | Bolivia (Plurinational State of) | 33 1000 t | 2023 | up 1,550.0% | volatile |
| 65 | Gabon | 32 1000 t | 2023 | down 17.9% | rising |
| 66 | Iraq | 31 1000 t | 2023 | up 14.8% | rising |
| 67 | Panama | 28 1000 t | 2023 | down 46.2% | volatile |
| 68 | Jamaica | 27 1000 t | 2023 | down 78.0% | falling |
| 68 | Romania | 27 1000 t | 2023 | up 2,600.0% | volatile |
| 70 | Ecuador | 22 1000 t | 2023 | down 80.4% | volatile |
| 71 | Congo | 21 1000 t | 2023 | up 75.0% | volatile |
| 72 | Cabo Verde | 18 1000 t | 2023 | down 18.2% | falling |
| 73 | United Republic of Tanzania | 17 1000 t | 2023 | down 74.2% | volatile |
| 74 | Kazakhstan | 15 1000 t | 2023 | up 650.0% | volatile |
| 75 | Lithuania | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 76 | Zimbabwe | 11 1000 t | 2023 | up 175.0% | volatile |
| 77 | Barbados | 8 1000 t | 2023 | — | volatile |
| 78 | Lebanon | 6 1000 t | 2023 | up 500.0% | rising |
| 79 | Australia and New Zealand | 5 1000 t | 2023 | — | volatile |
| 80 | Australia | 4 1000 t | 2023 | — | volatile |
| 80 | Egypt | 4 1000 t | 2023 | down 99.7% | volatile |
| 80 | United Kingdom | 4 1000 t | 2023 | — | volatile |
| 80 | Grenada | 4 1000 t | 2023 | up 33.3% | falling |
| 80 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | — | volatile |
| 85 | Azerbaijan | 3 1000 t | 2023 | down 25.0% | volatile |
| 85 | Ethiopia | 3 1000 t | 2023 | down 40.0% | flat |
| 85 | Israel | 3 1000 t | 2023 | — | volatile |
| 88 | Angola | 2 1000 t | 2023 | down 33.3% | volatile |
| 89 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 89 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Finland | 1 1000 t | 2023 | — | volatile |
| 89 | Hungary | 1 1000 t | 2023 | — | volatile |
| 89 | Italy | 1 1000 t | 2023 | down 83.3% | falling |
| 89 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 89 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 89 | Ukraine | 1 1000 t | 2023 | down 100.0% | volatile |
| 97 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Estonia | 0 1000 t | 2023 | — | volatile |
| 97 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Croatia | 0 1000 t | 2023 | — | volatile |
| 97 | Ireland | 0 1000 t | 2023 | — | volatile |
| 97 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Liberia | 0 1000 t | 2023 | — | volatile |
| 97 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 97 | Niger | 0 1000 t | 2023 | — | volatile |
| 97 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 97 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Portugal | 0 1000 t | 2023 | — | volatile |
| 97 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 97 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 97 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 97 | 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 116,015 1000 t
- Asia 86,764 1000 t
- Southern Asia 63,612 1000 t
- Eastern Asia 20,023 1000 t
- Americas 18,400 1000 t
- South America 10,163 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,832 1000 t
- Europe 8,109 1000 t
- Eastern Europe 4,116 1000 t
- European Union (27) 3,922 1000 t
- Western Europe 3,803 1000 t
- Land Locked Developing Countries (LLDCs) 3,736 1000 t
- Central America 3,649 1000 t
- Northern America 3,034 1000 t
- United States of America 2,906 1000 t
- South-Eastern Asia 2,639 1000 t
- Small island developing States (SIDS) 2,337 1000 t
- Africa 2,253 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,042 1000 t
- Least Developed Countries (LDCs) 1,861 1000 t
- Eastern Africa 914 1000 t
- Southern Africa 636 1000 t
- Oceania 489 1000 t
- Western Asia 434 1000 t
- Western Africa 321 1000 t
- Middle Africa 203 1000 t
- Northern Africa 180 1000 t
- Northern Europe 143 1000 t
- Central Asia 55 1000 t
- Southern Europe 47 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.