Sugar Crops — Fat supply quantity (t) 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 — Fat supply quantity (t) is currently reported for 97 countries. The highest value is 35,056 t in India; the lowest is 0 t in Australia and New Zealand.
The median across all reporting countries is 0.01 t, and the mean is 652.29 t.
Over the past decade 31 countries rose and 16 fell. The largest increase was in Senegal (up 76,000.0%), and the largest decrease in Congo (down 100.0%).
Sugar Crops — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 35,056 t | 2023 | up 122.5% | rising |
| 2 | Thailand | 5,607 t | 2023 | up 52.9% | rising |
| 3 | Egypt | 5,358 t | 2023 | up 13.7% | rising |
| 4 | Brazil | 4,481 t | 2023 | up 2.9% | flat |
| 5 | Madagascar | 2,705 t | 2023 | up 14.4% | rising |
| 6 | Kenya | 1,688 t | 2023 | up 26.3% | rising |
| 7 | Nepal | 1,443 t | 2023 | up 16.5% | rising |
| 8 | Nigeria | 942.56 t | 2023 | up 370.2% | volatile |
| 9 | Democratic Republic of the Congo | 830.08 t | 2023 | up 33.1% | rising |
| 10 | Iran (Islamic Republic of) | 753.93 t | 2023 | down 56.7% | falling |
| 11 | Pakistan | 643.62 t | 2023 | up 3,670.5% | volatile |
| 12 | United Republic of Tanzania | 482.14 t | 2023 | down 12.0% | rising |
| 13 | Lao People's Democratic Republic | 369.39 t | 2023 | up 86.6% | falling |
| 14 | Sri Lanka | 318.25 t | 2023 | down 29.8% | falling |
| 15 | Cameroon | 306.4 t | 2023 | up 11.1% | rising |
| 16 | Bangladesh | 304.61 t | 2023 | down 7.7% | falling |
| 17 | Philippines | 285.79 t | 2023 | up 1,981.5% | volatile |
| 18 | Viet Nam | 264 t | 2023 | down 81.6% | falling |
| 19 | Uganda | 208.82 t | 2023 | up 51.9% | falling |
| 20 | Ghana | 187.81 t | 2023 | up 3.5% | rising |
| 21 | Mozambique | 187.79 t | 2023 | up 818.7% | volatile |
| 22 | China | 107.16 t | 2023 | up 4,539.0% | volatile |
| 23 | China, Taiwan Province of | 106.28 t | 2023 | up 6,669.4% | volatile |
| 24 | Liberia | 95.14 t | 2023 | down 7.3% | falling |
| 25 | Mauritius | 94.93 t | 2023 | — | rising |
| 26 | Senegal | 83.71 t | 2023 | up 76,000.0% | volatile |
| 27 | Côte d'Ivoire | 83.52 t | 2023 | up 288.8% | volatile |
| 28 | Mexico | 80.03 t | 2023 | up 23.1% | rising |
| 29 | Caribbean | 65.87 t | 2023 | up 5.0% | rising |
| 30 | Haiti | 64.97 t | 2023 | up 4.7% | rising |
| 31 | Saudi Arabia | 38.51 t | 2023 | up 207.8% | volatile |
| 32 | Gabon | 9.3 t | 2023 | up 73.5% | rising |
| 33 | Suriname | 3.69 t | 2023 | up 16.4% | rising |
| 34 | Polynesia | 3.65 t | 2023 | up 10.9% | rising |
| 35 | French Polynesia | 3.63 t | 2023 | up 10.7% | rising |
| 36 | United Arab Emirates | 2.65 t | 2023 | up 728.1% | volatile |
| 37 | Kuwait | 1.91 t | 2023 | down 27.1% | volatile |
| 38 | Ecuador | 1.78 t | 2023 | — | volatile |
| 39 | China, Macao SAR | 0.87 t | 2023 | up 31.8% | volatile |
| 40 | Bahrain | 0.85 t | 2023 | — | volatile |
| 41 | Bhutan | 0.26 t | 2023 | — | falling |
| 42 | Namibia | 0.22 t | 2023 | up 2,100.0% | volatile |
| 43 | Russian Federation | 0.11 t | 2023 | — | volatile |
| 44 | Botswana | 0.03 t | 2023 | — | volatile |
| 44 | Syrian Arab Republic | 0.03 t | 2023 | — | volatile |
| 46 | Republic of Korea | 0.02 t | 2023 | down 96.2% | volatile |
| 47 | Azerbaijan | 0.01 t | 2023 | — | volatile |
| 47 | Denmark | 0.01 t | 2023 | — | volatile |
| 47 | Serbia | 0.01 t | 2023 | down 66.7% | falling |
| 47 | Samoa | 0.01 t | 2023 | unchanged | falling |
| 51 | Burkina Faso | 0 t | 2023 | — | flat |
| 51 | Belarus | 0 t | 2023 | — | volatile |
| 51 | Congo | 0 t | 2023 | down 100.0% | volatile |
| 51 | Colombia | 0 t | 2023 | — | flat |
| 51 | Cuba | 0 t | 2019 | — | flat |
| 51 | Cyprus | 0 t | 2023 | down 100.0% | volatile |
| 51 | Germany | 0 t | 2023 | — | flat |
| 51 | Algeria | 0 t | 2023 | — | flat |
| 51 | Ethiopia | 0 t | 2020 | — | flat |
| 51 | Georgia | 0 t | 2023 | — | flat |
| 51 | Gambia | 0 t | 2023 | — | flat |
| 51 | Guatemala | 0 t | 2023 | — | flat |
| 51 | Indonesia | 0 t | 2023 | down 100.0% | volatile |
| 51 | Ireland | 0 t | 2023 | — | flat |
| 51 | Iraq | 0 t | 2023 | — | flat |
| 51 | Iceland | 0 t | 2023 | — | flat |
| 51 | Jordan | 0 t | 2021 | — | flat |
| 51 | Kazakhstan | 0 t | 2023 | — | volatile |
| 51 | Cambodia | 0 t | 2023 | down 100.0% | volatile |
| 51 | Kiribati | 0 t | 2021 | — | flat |
| 51 | Lebanon | 0 t | 2023 | — | flat |
| 51 | Libya | 0 t | 2023 | down 100.0% | volatile |
| 51 | Lesotho | 0 t | 2023 | down 100.0% | volatile |
| 51 | Maldives | 0 t | 2023 | — | flat |
| 51 | Marshall Islands | 0 t | 2023 | — | flat |
| 51 | Malta | 0 t | 2023 | — | flat |
| 51 | Myanmar | 0 t | 2023 | — | flat |
| 51 | Montenegro | 0 t | 2023 | — | flat |
| 51 | Malaysia | 0 t | 2023 | — | flat |
| 51 | Norway | 0 t | 2023 | — | flat |
| 51 | New Zealand | 0 t | 2023 | — | flat |
| 51 | Oman | 0 t | 2023 | — | flat |
| 51 | Peru | 0 t | 2023 | — | flat |
| 51 | Papua New Guinea | 0 t | 2023 | — | flat |
| 51 | Poland | 0 t | 2023 | — | flat |
| 51 | Sweden | 0 t | 2023 | — | volatile |
| 51 | Seychelles | 0 t | 2023 | — | volatile |
| 51 | Vanuatu | 0 t | 2018 | — | flat |
| 51 | Yemen | 0 t | 2023 | — | volatile |
| 51 | Zimbabwe | 0 t | 2021 | — | flat |
| 51 | Micronesia | 0 t | 2023 | — | flat |
| 51 | Timor-Leste | 0 t | 2023 | — | flat |
| 51 | Melanesia | 0 t | 2023 | — | flat |
| 51 | China, Hong Kong SAR | 0 t | 2018 | down 100.0% | volatile |
| 51 | Republic of Moldova | 0 t | 2023 | — | flat |
| 51 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | — | flat |
| 51 | Australia and New Zealand | 0 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 63,107 t
- Asia 45,197 t
- Southern Asia 38,519 t
- Net Food Importing Developing Countries (NFIDCs) 14,982 t
- Africa 13,274 t
- Low Income Food Deficit Countries (LIFDCs) 8,105 t
- Least Developed Countries (LDCs) 6,785 t
- South-eastern Asia 6,526 t
- Northern Africa 5,368 t
- Eastern Africa 5,367 t
- Americas 4,633 t
- South America 4,487 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.