Sugar cane — Food supply (kcal/capita/day) 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/capita/day) is currently reported for 48 countries. The highest value is 59.4 kcal/cap/d in Madagascar; the lowest is 0 kcal/cap/d in Congo.
The median across all reporting countries is 1.46 kcal/cap/d, and the mean is 7.51 kcal/cap/d.
Over the past decade 19 countries rose and 19 fell. The largest increase was in Senegal (up 31,600.0%), and the largest decrease in Republic of Korea (down 100.0%).
Sugar cane — Food supply: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Madagascar | 59.4 kcal/cap/d | 2023 | down 11.6% | falling |
| 2 | Thailand | 53.56 kcal/cap/d | 2023 | up 49.0% | rising |
| 3 | Mauritius | 51.05 kcal/cap/d | 2023 | — | rising |
| 4 | Nepal | 33.27 kcal/cap/d | 2023 | up 8.2% | rising |
| 5 | Egypt | 32.04 kcal/cap/d | 2023 | down 5.4% | flat |
| 6 | Kenya | 20.89 kcal/cap/d | 2023 | up 2.7% | rising |
| 7 | India | 16.7 kcal/cap/d | 2023 | up 100.5% | rising |
| 8 | Brazil | 14.54 kcal/cap/d | 2023 | down 3.3% | flat |
| 9 | Liberia | 11.86 kcal/cap/d | 2023 | down 24.6% | falling |
| 10 | Sri Lanka | 9.49 kcal/cap/d | 2023 | down 34.7% | falling |
| 11 | French Polynesia | 8.85 kcal/cap/d | 2023 | up 8.3% | rising |
| 12 | Cameroon | 7.4 kcal/cap/d | 2023 | down 16.1% | falling |
| 13 | Suriname | 4.02 kcal/cap/d | 2023 | up 5.2% | flat |
| 14 | Mozambique | 3.82 kcal/cap/d | 2023 | up 582.1% | volatile |
| 14 | Haiti | 3.82 kcal/cap/d | 2023 | down 8.2% | rising |
| 16 | Ghana | 3.81 kcal/cap/d | 2023 | down 16.1% | falling |
| 17 | Senegal | 3.17 kcal/cap/d | 2023 | up 31,600.0% | volatile |
| 18 | China, Taiwan Province of | 3.12 kcal/cap/d | 2023 | up 6,140.0% | volatile |
| 19 | Ecuador | 2.95 kcal/cap/d | 2023 | up 340.3% | volatile |
| 20 | Uganda | 2.94 kcal/cap/d | 2023 | up 10.5% | falling |
| 21 | Nigeria | 2.83 kcal/cap/d | 2023 | up 272.4% | volatile |
| 22 | Gabon | 2.56 kcal/cap/d | 2023 | up 33.3% | rising |
| 23 | Pakistan | 1.78 kcal/cap/d | 2023 | up 2,866.7% | volatile |
| 24 | Philippines | 1.7 kcal/cap/d | 2023 | up 1,788.9% | volatile |
| 25 | Bangladesh | 1.22 kcal/cap/d | 2023 | down 15.3% | falling |
| 26 | China, Macao SAR | 0.84 kcal/cap/d | 2023 | up 10.5% | volatile |
| 27 | Saudi Arabia | 0.79 kcal/cap/d | 2023 | up 154.8% | volatile |
| 28 | Colombia | 0.62 kcal/cap/d | 2023 | down 51.9% | falling |
| 29 | Mexico | 0.42 kcal/cap/d | 2023 | up 10.5% | rising |
| 30 | Bahrain | 0.37 kcal/cap/d | 2023 | — | volatile |
| 31 | Kuwait | 0.27 kcal/cap/d | 2023 | down 47.1% | volatile |
| 32 | Bhutan | 0.23 kcal/cap/d | 2023 | — | falling |
| 33 | United Arab Emirates | 0.17 kcal/cap/d | 2023 | up 466.7% | rising |
| 34 | Samoa | 0.05 kcal/cap/d | 2023 | unchanged | falling |
| 34 | Namibia | 0.05 kcal/cap/d | 2023 | — | volatile |
| 34 | China | 0.05 kcal/cap/d | 2023 | — | volatile |
| 37 | Botswana | 0.01 kcal/cap/d | 2023 | — | volatile |
| 38 | Russian Federation | 0 kcal/cap/d | 2023 | — | volatile |
| 38 | Republic of Korea | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | China, Hong Kong SAR | 0 kcal/cap/d | 2018 | down 100.0% | volatile |
| 38 | Seychelles | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | Serbia | 0 kcal/cap/d | 2023 | — | volatile |
| 38 | Lesotho | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | Cambodia | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | Indonesia | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | Denmark | 0 kcal/cap/d | 2023 | — | volatile |
| 38 | Cyprus | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 38 | Congo | 0 kcal/cap/d | 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.
- Lao People's Democratic Republic 33.01 kcal/cap/d
- Northern Africa 13.72 kcal/cap/d
- Southern Asia 12.91 kcal/cap/d
- Asia 6.5 kcal/cap/d
- Eastern Africa 7.61 kcal/cap/d
- Iran (Islamic Republic of) 5.7 kcal/cap/d
- South America 7.3 kcal/cap/d
- Democratic Republic of the Congo 5.37 kcal/cap/d
- South-Eastern Asia 6.54 kcal/cap/d
- United Republic of Tanzania 4.96 kcal/cap/d
- Africa 6.17 kcal/cap/d
- Polynesia 4.08 kcal/cap/d
- Net Food Importing Developing Countries (NFIDCs) 5.66 kcal/cap/d
- Least Developed Countries (LDCs) 4.01 kcal/cap/d
- World 5.37 kcal/cap/d
- Middle Africa 3.84 kcal/cap/d
- Low Income Food Deficit Countries (LIFDCs) 5.23 kcal/cap/d
- Small island developing States (SIDS) 1.85 kcal/cap/d
- Americas 3.14 kcal/cap/d
- Viet Nam 1.8 kcal/cap/d
- Land Locked Developing Countries (LLDCs) 2.39 kcal/cap/d
- Syrian Arab Republic 0 kcal/cap/d
- Western Africa 2.14 kcal/cap/d
- Côte d'Ivoire 1.84 kcal/cap/d
- Caribbean 1.14 kcal/cap/d
- Central America 0.3 kcal/cap/d
- Western Asia 0.1 kcal/cap/d
- Oceania 0.06 kcal/cap/d
- Eastern Asia 0.04 kcal/cap/d
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.