Sugar (Raw Equivalent) — Other uses (non-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 (Raw Equivalent) — Other uses (non-food) is currently reported for 52 countries. The highest value is 476 1000 t in Germany; the lowest is 0 1000 t in Belarus.
The median across all reporting countries is 0 1000 t, and the mean is 50.42 1000 t.
Over the past decade 12 countries rose and 37 fell. The largest increase was in Mauritania (up 812.0%), and the largest decrease in Republic of Korea (down 100.0%).
Sugar (Raw Equivalent) — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 476 1000 t | 2023 | up 8.2% | rising |
| 2 | Peru | 424 1000 t | 2023 | up 26.9% | rising |
| 3 | Algeria | 366 1000 t | 2023 | up 67.1% | rising |
| 4 | Mexico | 313 1000 t | 2023 | up 627.9% | volatile |
| 5 | Mauritania | 228 1000 t | 2023 | up 812.0% | volatile |
| 6 | Indonesia | 172 1000 t | 2023 | up 23.7% | rising |
| 7 | Angola | 135 1000 t | 2023 | up 70.9% | rising |
| 8 | Netherlands (Kingdom of the) | 115 1000 t | 2023 | down 1.7% | falling |
| 9 | United States | 93 1000 t | 2023 | down 13.1% | falling |
| 10 | Nicaragua | 58 1000 t | 2023 | up 9.4% | rising |
| 11 | Denmark | 40 1000 t | 2023 | up 17.6% | rising |
| 11 | Sri Lanka | 40 1000 t | 2023 | up 21.2% | rising |
| 13 | El Salvador | 32 1000 t | 2023 | down 34.7% | falling |
| 13 | Bosnia and Herzegovina | 32 1000 t | 2023 | down 5.9% | rising |
| 15 | Egypt | 29 1000 t | 2023 | down 94.7% | volatile |
| 16 | Sweden | 14 1000 t | 2023 | down 36.4% | volatile |
| 17 | Botswana | 13 1000 t | 2023 | down 18.8% | falling |
| 18 | China | 8 1000 t | 2023 | up 700.0% | volatile |
| 18 | China, Taiwan Province of | 8 1000 t | 2023 | up 700.0% | volatile |
| 20 | Finland | 7 1000 t | 2023 | down 79.4% | volatile |
| 21 | Venezuela (Bolivarian Republic of) | 6 1000 t | 2023 | down 45.5% | falling |
| 21 | Estonia | 6 1000 t | 2023 | — | volatile |
| 23 | Slovenia | 3 1000 t | 2023 | down 66.7% | volatile |
| 23 | Montenegro | 3 1000 t | 2023 | down 25.0% | falling |
| 25 | Paraguay | 1 1000 t | 2023 | down 75.0% | falling |
| 26 | Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Russian Federation | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Czechia | 0 1000 t | 2018 | — | volatile |
| 26 | Spain | 0 1000 t | 2021 | down 100.0% | volatile |
| 26 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Guatemala | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Iceland | 0 1000 t | 2021 | down 100.0% | volatile |
| 26 | Israel | 0 1000 t | 2022 | down 100.0% | volatile |
| 26 | Lithuania | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Morocco | 0 1000 t | 2022 | down 100.0% | volatile |
| 26 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Cyprus | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Russia | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Suriname | 0 1000 t | 2022 | down 100.0% | volatile |
| 26 | Eswatini | 0 1000 t | 2018 | down 100.0% | volatile |
| 26 | Switzerland | 0 1000 t | 2018 | — | volatile |
| 26 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Belarus | 0 1000 t | 2018 | 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 2,613 1000 t
- Americas 926 1000 t
- Net Food Importing Developing Countries (NFIDCs) 906 1000 t
- Africa 771 1000 t
- Europe 696 1000 t
- European Union (27) 661 1000 t
- Western Europe 591 1000 t
- South America 431 1000 t
- Central America 402 1000 t
- Northern Africa 395 1000 t
- Least Developed Countries (LDCs) 362 1000 t
- Low Income Food Deficit Countries (LIFDCs) 285 1000 t
- Western Africa 228 1000 t
- Asia 220 1000 t
- South-Eastern Asia 172 1000 t
- Middle Africa 135 1000 t
- Northern America 93 1000 t
- United States of America 93 1000 t
- Northern Europe 68 1000 t
- Southern Asia 40 1000 t
- Southern Europe 38 1000 t
- Land Locked Developing Countries (LLDCs) 15 1000 t
- Southern Africa 13 1000 t
- Eastern Asia 8 1000 t
- Oceania 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Eastern Europe 0 1000 t
- Western Asia 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.