Sugar beet — Feed 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 beet — Feed is currently reported for 58 countries. The highest value is 3,565 1000 t in Russia; the lowest is 0 1000 t in Caribbean.
The median across all reporting countries is 5.5 1000 t, and the mean is 295.79 1000 t.
Over the past decade 17 countries rose and 25 fell. The largest increase was in Pakistan (up 2,900.0%), and the largest decrease in Slovakia (down 100.0%).
Sugar beet — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russia | 3,565 1000 t | 2023 | down 27.8% | falling |
| 1 | Russian Federation | 3,565 1000 t | 2023 | down 27.8% | falling |
| 3 | Germany | 2,818 1000 t | 2023 | — | volatile |
| 4 | China, mainland | 1,705 1000 t | 2023 | up 16.6% | rising |
| 4 | China | 1,705 1000 t | 2023 | up 16.6% | rising |
| 6 | France | 667 1000 t | 2023 | down 16.0% | flat |
| 7 | United States | 448 1000 t | 2023 | — | volatile |
| 8 | Iran (Islamic Republic of) | 426 1000 t | 2023 | up 76.0% | rising |
| 9 | Turkey | 387 1000 t | 2023 | down 6.3% | rising |
| 9 | Türkiye | 387 1000 t | 2023 | down 6.3% | rising |
| 11 | Belarus | 369 1000 t | 2023 | up 129.2% | rising |
| 12 | Switzerland | 164 1000 t | 2023 | — | volatile |
| 13 | Canada | 129 1000 t | 2023 | up 416.0% | volatile |
| 14 | Belgium | 98 1000 t | 2023 | down 10.1% | rising |
| 15 | Sweden | 89 1000 t | 2023 | down 36.4% | falling |
| 16 | Republic of Moldova | 81 1000 t | 2023 | up 6.6% | falling |
| 16 | Moldova | 81 1000 t | 2023 | up 6.6% | falling |
| 18 | Czechia | 72 1000 t | 2023 | — | volatile |
| 19 | Morocco | 65 1000 t | 2023 | down 39.8% | falling |
| 20 | Netherlands (Kingdom of the) | 54 1000 t | 2023 | up 1.9% | rising |
| 21 | Spain | 44 1000 t | 2023 | up 266.7% | volatile |
| 22 | Kyrgyzstan | 40 1000 t | 2023 | up 263.6% | volatile |
| 23 | Denmark | 35 1000 t | 2023 | down 42.6% | falling |
| 24 | Iraq | 31 1000 t | 2023 | up 14.8% | rising |
| 25 | Pakistan | 30 1000 t | 2023 | up 2,900.0% | volatile |
| 26 | Romania | 27 1000 t | 2023 | up 2,600.0% | volatile |
| 27 | Kazakhstan | 15 1000 t | 2023 | up 650.0% | volatile |
| 28 | Lithuania | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 29 | Lebanon | 6 1000 t | 2023 | up 500.0% | rising |
| 30 | Latvia | 5 1000 t | 2018 | up 400.0% | volatile |
| 30 | Australia and New Zealand | 5 1000 t | 2023 | — | volatile |
| 32 | United Kingdom | 4 1000 t | 2023 | down 66.7% | volatile |
| 32 | Egypt | 4 1000 t | 2023 | down 98.6% | volatile |
| 32 | Ecuador | 4 1000 t | 2023 | unchanged | flat |
| 32 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 66.7% | volatile |
| 32 | Australia | 4 1000 t | 2023 | — | volatile |
| 37 | Azerbaijan | 3 1000 t | 2023 | down 25.0% | volatile |
| 38 | Mexico | 1 1000 t | 2023 | unchanged | flat |
| 38 | Hungary | 1 1000 t | 2023 | down 75.0% | falling |
| 38 | Ukraine | 1 1000 t | 2023 | down 100.0% | volatile |
| 38 | Italy | 1 1000 t | 2023 | down 83.3% | falling |
| 38 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 38 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 44 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Niger | 0 1000 t | 2023 | — | volatile |
| 44 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 44 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Portugal | 0 1000 t | 2023 | — | volatile |
| 44 | Estonia | 0 1000 t | 2023 | — | volatile |
| 44 | Slovenia | 0 1000 t | 2017 | — | volatile |
| 44 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Croatia | 0 1000 t | 2023 | — | volatile |
| 44 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Caribbean | 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 11,419 1000 t
- Europe 8,105 1000 t
- Eastern Europe 4,115 1000 t
- European Union (27) 3,921 1000 t
- Western Europe 3,800 1000 t
- Asia 2,644 1000 t
- Eastern Asia 1,705 1000 t
- Americas 582 1000 t
- Northern America 577 1000 t
- Southern Asia 455 1000 t
- United States of America 448 1000 t
- Western Asia 429 1000 t
- Land Locked Developing Countries (LLDCs) 146 1000 t
- Northern Europe 142 1000 t
- Net Food Importing Developing Countries (NFIDCs) 113 1000 t
- Africa 83 1000 t
- Northern Africa 77 1000 t
- Central Asia 55 1000 t
- Low Income Food Deficit Countries (LIFDCs) 47 1000 t
- Southern Europe 46 1000 t
- Least Developed Countries (LDCs) 6 1000 t
- Western Africa 6 1000 t
- Oceania 5 1000 t
- South America 4 1000 t
- Central America 1 1000 t
- Small island developing States (SIDS) 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.