Sugar cane — Food supply (kcal) 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 — Food supply (kcal) is currently reported for 74 countries. The highest value is 8.76 million million Kcal in India; the lowest is 0 million Kcal in Republic of Moldova.
The median across all reporting countries is 1,624 million Kcal, and the mean is 216,595 million Kcal.
Over the past decade 41 countries rose and 23 fell. The largest increase was in Senegal (up 73,075.4%), and the largest decrease in Belarus (down 100.0%).
Sugar cane — Food supply: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 8.76 million million Kcal | 2023 | up 122.5% | rising |
| 2 | Thailand | 1.40 million million Kcal | 2023 | up 52.9% | rising |
| 3 | Egypt | 1.34 million million Kcal | 2023 | up 13.7% | rising |
| 4 | Brazil | 1.12 million million Kcal | 2023 | up 2.9% | flat |
| 5 | Madagascar | 676,366 million Kcal | 2023 | up 14.4% | rising |
| 6 | Kenya | 421,902 million Kcal | 2023 | up 26.3% | rising |
| 7 | Nepal | 360,649 million Kcal | 2023 | up 16.5% | rising |
| 8 | Nigeria | 235,641 million Kcal | 2023 | up 370.2% | volatile |
| 9 | Democratic Republic of the Congo | 207,521 million Kcal | 2023 | up 33.1% | rising |
| 10 | Iran (Islamic Republic of) | 188,482 million Kcal | 2023 | down 56.7% | falling |
| 11 | Pakistan | 160,905 million Kcal | 2023 | up 3,670.8% | volatile |
| 12 | United Republic of Tanzania | 120,535 million Kcal | 2023 | down 12.0% | rising |
| 13 | Laos | 92,347 million Kcal | 2023 | up 86.6% | falling |
| 13 | Lao People's Democratic Republic | 92,347 million Kcal | 2023 | up 86.6% | falling |
| 15 | Sri Lanka | 79,563 million Kcal | 2023 | down 29.8% | falling |
| 16 | Cameroon | 76,601 million Kcal | 2023 | up 11.1% | rising |
| 17 | Bangladesh | 76,153 million Kcal | 2023 | down 7.7% | falling |
| 18 | Philippines | 71,447 million Kcal | 2023 | up 1,981.6% | volatile |
| 19 | Vietnam | 66,000 million Kcal | 2023 | down 81.6% | falling |
| 19 | Viet Nam | 66,000 million Kcal | 2023 | down 81.6% | falling |
| 21 | Uganda | 52,206 million Kcal | 2023 | up 51.9% | falling |
| 22 | Ghana | 46,953 million Kcal | 2023 | up 3.5% | rising |
| 23 | Mozambique | 46,948 million Kcal | 2023 | up 818.7% | volatile |
| 24 | China | 26,790 million Kcal | 2023 | up 4,532.5% | volatile |
| 25 | China, Taiwan Province of | 26,571 million Kcal | 2023 | up 6,652.4% | volatile |
| 26 | Liberia | 23,786 million Kcal | 2023 | down 7.3% | falling |
| 27 | Mauritius | 23,732 million Kcal | 2023 | — | rising |
| 28 | Senegal | 20,928 million Kcal | 2023 | up 73,075.4% | volatile |
| 29 | Cote d'Ivoire | 20,879 million Kcal | 2023 | up 288.8% | volatile |
| 29 | Côte d'Ivoire | 20,879 million Kcal | 2023 | up 288.8% | volatile |
| 31 | Mexico | 20,007 million Kcal | 2023 | up 23.1% | rising |
| 32 | Ecuador | 19,335 million Kcal | 2023 | up 401.9% | volatile |
| 33 | Caribbean | 16,468 million Kcal | 2023 | up 5.0% | rising |
| 34 | Haiti | 16,242 million Kcal | 2023 | up 4.7% | rising |
| 35 | Colombia | 11,821 million Kcal | 2023 | down 45.8% | falling |
| 36 | Saudi Arabia | 9,629 million Kcal | 2023 | up 207.9% | volatile |
| 37 | Gabon | 2,324 million Kcal | 2023 | up 73.6% | rising |
| 38 | Suriname | 923.24 million Kcal | 2023 | up 16.5% | rising |
| 39 | Polynesia | 911.57 million Kcal | 2023 | up 10.7% | rising |
| 40 | French Polynesia | 907.87 million Kcal | 2023 | up 10.8% | rising |
| 41 | United Arab Emirates | 663.48 million Kcal | 2023 | up 719.4% | volatile |
| 42 | Kuwait | 478.24 million Kcal | 2023 | down 27.0% | volatile |
| 43 | China, Macao SAR | 218.67 million Kcal | 2023 | up 32.5% | volatile |
| 44 | Bahrain | 211.59 million Kcal | 2023 | — | volatile |
| 45 | Bhutan | 65.96 million Kcal | 2023 | — | falling |
| 46 | Namibia | 56.02 million Kcal | 2023 | up 4,143.9% | volatile |
| 47 | Russia | 27.85 million Kcal | 2023 | up 8,339.4% | volatile |
| 47 | Russian Federation | 27.85 million Kcal | 2023 | up 8,339.4% | volatile |
| 49 | Syria | 8.67 million Kcal | 2023 | — | volatile |
| 49 | Syrian Arab Republic | 8.67 million Kcal | 2023 | — | volatile |
| 51 | Botswana | 8.08 million Kcal | 2023 | up 1,124.2% | volatile |
| 52 | Republic of Korea | 4.6 million Kcal | 2023 | down 96.5% | volatile |
| 53 | Samoa | 3.69 million Kcal | 2023 | down 0.5% | falling |
| 54 | Serbia | 2.05 million Kcal | 2023 | down 68.9% | falling |
| 55 | Denmark | 1.55 million Kcal | 2023 | — | volatile |
| 56 | Azerbaijan | 1.46 million Kcal | 2023 | up 204.2% | volatile |
| 57 | Sweden | 0.67 million Kcal | 2023 | up 103.0% | volatile |
| 58 | Seychelles | 0.16 million Kcal | 2023 | down 75.8% | volatile |
| 59 | Iceland | 0.11 million Kcal | 2023 | up 450.0% | volatile |
| 60 | Kazakhstan | 0.09 million Kcal | 2023 | up 50.0% | volatile |
| 61 | Georgia | 0.01 million Kcal | 2023 | — | flat |
| 61 | Lesotho | 0.01 million Kcal | 2023 | down 99.9% | volatile |
| 63 | Belarus | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Congo | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Cyprus | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Indonesia | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Cambodia | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Libya | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Moldova | 0 million Kcal | 2023 | — | volatile |
| 63 | East Timor | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | Yemen | 0 million Kcal | 2023 | — | volatile |
| 63 | Timor-Leste | 0 million Kcal | 2023 | down 100.0% | volatile |
| 63 | China, Hong Kong SAR | 0 million Kcal | 2018 | down 100.0% | volatile |
| 63 | Republic of Moldova | 0 million Kcal | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 15.81 million million Kcal
- Asia 11.30 million million Kcal
- Southern Asia 9.63 million million Kcal
- Net Food Importing Developing Countries (NFIDCs) 3.75 million million Kcal
- Africa 3.32 million million Kcal
- Low Income Food Deficit Countries (LIFDCs) 2.03 million million Kcal
- Least Developed Countries (LDCs) 1.70 million million Kcal
- South-Eastern Asia 1.63 million million Kcal
- Northern Africa 1.34 million million Kcal
- Eastern Africa 1.34 million million Kcal
- Americas 1.19 million million Kcal
- South America 1.15 million million Kcal
- Land Locked Developing Countries (LLDCs) 505,277 million Kcal
- Western Africa 348,187 million Kcal
- Middle Africa 286,446 million Kcal
- Small island developing States (SIDS) 42,034 million Kcal
- Eastern Asia 26,794 million Kcal
- Central America 20,007 million Kcal
- Western Asia 11,085 million Kcal
- Oceania 911.57 million Kcal
- Southern Africa 64.1 million Kcal
- Europe 32.37 million Kcal
- Eastern Europe 27.85 million Kcal
- Northern Europe 2.47 million Kcal
- European Union (27) 2.36 million Kcal
- Southern Europe 2.05 million Kcal
- Central Asia 0.09 million Kcal
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.