Sugar Crops — Food 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 — Food is currently reported for 55 countries. The highest value is 26,557 1000 t in India; the lowest is 0 1000 t in Congo.
The median across all reporting countries is 63 1000 t, and the mean is 882.73 1000 t.
Over the past decade 30 countries rose and 14 fell. The largest increase was in China, Taiwan Province of (up 8,000.0%), and the largest decrease in China, Hong Kong SAR (down 100.0%).
Sugar Crops — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 26,557 1000 t | 2023 | up 122.5% | rising |
| 2 | Thailand | 4,248 1000 t | 2023 | up 53.0% | rising |
| 3 | Egypt | 4,059 1000 t | 2023 | up 13.7% | rising |
| 4 | Brazil | 3,395 1000 t | 2023 | up 2.9% | flat |
| 5 | Madagascar | 2,050 1000 t | 2023 | up 14.5% | rising |
| 6 | Kenya | 1,278 1000 t | 2023 | up 26.3% | rising |
| 7 | Nepal | 1,093 1000 t | 2023 | up 16.5% | rising |
| 8 | Nigeria | 714 1000 t | 2023 | up 369.7% | volatile |
| 9 | Democratic Republic of the Congo | 629 1000 t | 2023 | up 33.3% | rising |
| 10 | Iran (Islamic Republic of) | 571 1000 t | 2023 | down 56.7% | falling |
| 11 | Pakistan | 488 1000 t | 2023 | up 3,653.8% | volatile |
| 12 | United Republic of Tanzania | 365 1000 t | 2023 | down 12.0% | rising |
| 13 | Laos | 280 1000 t | 2023 | up 86.7% | falling |
| 13 | Lao People's Democratic Republic | 280 1000 t | 2023 | up 86.7% | falling |
| 15 | Sri Lanka | 241 1000 t | 2023 | down 29.7% | falling |
| 16 | Cameroon | 232 1000 t | 2023 | up 11.0% | rising |
| 17 | Bangladesh | 231 1000 t | 2023 | down 7.6% | falling |
| 18 | Philippines | 217 1000 t | 2023 | up 2,070.0% | volatile |
| 19 | Viet Nam | 200 1000 t | 2023 | down 81.6% | falling |
| 19 | Vietnam | 200 1000 t | 2023 | down 81.6% | falling |
| 21 | Uganda | 158 1000 t | 2023 | up 51.9% | falling |
| 22 | Mozambique | 142 1000 t | 2023 | up 846.7% | volatile |
| 22 | Ghana | 142 1000 t | 2023 | up 3.6% | rising |
| 24 | China | 81 1000 t | 2023 | up 3,950.0% | volatile |
| 24 | China, Taiwan Province of | 81 1000 t | 2023 | up 8,000.0% | volatile |
| 26 | Mauritius | 72 1000 t | 2023 | — | rising |
| 26 | Liberia | 72 1000 t | 2023 | down 7.7% | falling |
| 28 | Senegal | 63 1000 t | 2023 | — | volatile |
| 28 | Cote d'Ivoire | 63 1000 t | 2023 | up 293.8% | volatile |
| 28 | Côte d'Ivoire | 63 1000 t | 2023 | up 293.8% | volatile |
| 31 | Caribbean | 62 1000 t | 2023 | up 29.2% | rising |
| 32 | Mexico | 61 1000 t | 2023 | up 24.5% | rising |
| 33 | Haiti | 49 1000 t | 2023 | up 4.3% | rising |
| 34 | Colombia | 29 1000 t | 2023 | unchanged | rising |
| 34 | Saudi Arabia | 29 1000 t | 2023 | up 222.2% | volatile |
| 36 | Venezuela (Bolivarian Republic of) | 20 1000 t | 2023 | down 4.8% | flat |
| 37 | Australia and New Zealand | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 38 | Gabon | 7 1000 t | 2023 | up 75.0% | rising |
| 39 | Polynesia | 3 1000 t | 2023 | up 50.0% | rising |
| 39 | French Polynesia | 3 1000 t | 2023 | up 50.0% | rising |
| 39 | Suriname | 3 1000 t | 2023 | up 50.0% | rising |
| 42 | United Arab Emirates | 2 1000 t | 2023 | — | volatile |
| 43 | Oman | 1 1000 t | 2023 | — | volatile |
| 43 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Kuwait | 1 1000 t | 2023 | down 50.0% | volatile |
| 43 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 43 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 48 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 48 | China, Hong Kong SAR | 0 1000 t | 2018 | down 100.0% | volatile |
| 48 | Russia | 0 1000 t | 2023 | — | volatile |
| 48 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Congo | 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 47,887 1000 t
- Asia 34,241 1000 t
- Southern Asia 29,181 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11,386 1000 t
- Africa 10,061 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6,145 1000 t
- Least Developed Countries (LDCs) 5,145 1000 t
- South-Eastern Asia 4,944 1000 t
- Northern Africa 4,067 1000 t
- Eastern Africa 4,066 1000 t
- Americas 3,570 1000 t
- South America 3,448 1000 t
- Land Locked Developing Countries (LLDCs) 1,536 1000 t
- Western Africa 1,060 1000 t
- Middle Africa 868 1000 t
- Small island developing States (SIDS) 140 1000 t
- Eastern Asia 81 1000 t
- Central America 61 1000 t
- Western Asia 34 1000 t
- Oceania 15 1000 t
- Europe 0 1000 t
- Central Asia 0 1000 t
- Eastern Europe 0 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.