Sugar beet — Losses 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 — Losses is currently reported for 55 countries. The highest value is 1,697 1000 t in Germany; the lowest is 0 1000 t in Afghanistan.
The median across all reporting countries is 25 1000 t, and the mean is 216.51 1000 t.
Over the past decade 19 countries rose and 28 fell. The largest increase was in Kazakhstan (up 700.0%), and the largest decrease in Greece (down 100.0%).
Sugar beet — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 1,697 1000 t | 2023 | up 6.1% | rising |
| 2 | France | 1,648 1000 t | 2023 | down 8.9% | falling |
| 3 | Turkey | 1,147 1000 t | 2023 | up 56.5% | rising |
| 3 | Türkiye | 1,147 1000 t | 2023 | up 56.5% | rising |
| 5 | United States | 943 1000 t | 2023 | up 12.4% | flat |
| 6 | Egypt | 568 1000 t | 2023 | up 657.3% | volatile |
| 7 | Russia | 497 1000 t | 2023 | up 20.3% | rising |
| 7 | Russian Federation | 497 1000 t | 2023 | up 20.3% | rising |
| 9 | China | 450 1000 t | 2023 | down 2.8% | flat |
| 9 | China, mainland | 450 1000 t | 2023 | down 2.8% | flat |
| 11 | United Kingdom | 416 1000 t | 2023 | down 17.0% | falling |
| 11 | United Kingdom of Great Britain and Northern Ireland | 416 1000 t | 2023 | down 17.0% | falling |
| 13 | Netherlands (Kingdom of the) | 372 1000 t | 2023 | up 1.4% | rising |
| 14 | Iran (Islamic Republic of) | 292 1000 t | 2023 | up 57.0% | rising |
| 15 | Czechia | 214 1000 t | 2023 | down 10.1% | flat |
| 16 | Spain | 155 1000 t | 2023 | down 22.5% | falling |
| 17 | Austria | 142 1000 t | 2023 | down 23.7% | falling |
| 18 | Serbia | 102 1000 t | 2023 | down 36.6% | falling |
| 19 | Ukraine | 89 1000 t | 2023 | up 206.9% | rising |
| 20 | Switzerland | 82 1000 t | 2023 | down 20.4% | flat |
| 21 | Morocco | 79 1000 t | 2023 | down 31.3% | flat |
| 22 | Slovakia | 76 1000 t | 2023 | up 22.6% | rising |
| 23 | Lithuania | 63 1000 t | 2023 | up 14.5% | rising |
| 24 | Hungary | 46 1000 t | 2023 | down 14.8% | falling |
| 25 | Canada | 44 1000 t | 2023 | up 37.5% | rising |
| 26 | Belgium | 35 1000 t | 2023 | unchanged | rising |
| 27 | Chile | 32 1000 t | 2023 | down 68.3% | falling |
| 28 | Croatia | 25 1000 t | 2023 | down 66.7% | falling |
| 28 | Belarus | 25 1000 t | 2023 | up 13.6% | rising |
| 30 | Moldova | 23 1000 t | 2023 | down 57.4% | falling |
| 30 | Republic of Moldova | 23 1000 t | 2023 | down 57.4% | falling |
| 30 | Finland | 23 1000 t | 2023 | down 11.5% | falling |
| 33 | Poland | 15 1000 t | 2023 | up 25.0% | rising |
| 34 | Italy | 14 1000 t | 2023 | down 30.0% | falling |
| 35 | Kyrgyzstan | 11 1000 t | 2023 | up 10.0% | rising |
| 36 | Kazakhstan | 8 1000 t | 2023 | up 700.0% | volatile |
| 37 | Sweden | 6 1000 t | 2023 | unchanged | falling |
| 38 | Tunisia | 5 1000 t | 2023 | up 150.0% | rising |
| 38 | Azerbaijan | 5 1000 t | 2023 | down 50.0% | volatile |
| 40 | Turkmenistan | 4 1000 t | 2023 | down 69.2% | falling |
| 41 | Romania | 3 1000 t | 2023 | down 50.0% | volatile |
| 41 | Armenia | 3 1000 t | 2023 | unchanged | rising |
| 41 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 200.0% | volatile |
| 44 | Iraq | 2 1000 t | 2023 | unchanged | rising |
| 44 | Syrian Arab Republic | 2 1000 t | 2023 | down 87.5% | volatile |
| 44 | Colombia | 2 1000 t | 2023 | unchanged | rising |
| 44 | Syria | 2 1000 t | 2023 | down 87.5% | volatile |
| 44 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 49 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 49 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 49 | Albania | 1 1000 t | 2023 | down 50.0% | falling |
| 52 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Afghanistan | 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 9,555 1000 t
- Europe 5,769 1000 t
- European Union (27) 4,533 1000 t
- Western Europe 3,976 1000 t
- Asia 2,109 1000 t
- Western Asia 1,159 1000 t
- Americas 1,025 1000 t
- Northern America 987 1000 t
- Eastern Europe 987 1000 t
- United States of America 943 1000 t
- Net Food Importing Developing Countries (NFIDCs) 659 1000 t
- Africa 653 1000 t
- Northern Africa 652 1000 t
- Eastern Asia 633 1000 t
- Northern Europe 507 1000 t
- Southern Europe 298 1000 t
- Southern Asia 294 1000 t
- Land Locked Developing Countries (LLDCs) 54 1000 t
- South America 38 1000 t
- Central Asia 22 1000 t
- Low Income Food Deficit Countries (LIFDCs) 13 1000 t
- Western Africa 1 1000 t
- Small island developing States (SIDS) 1 1000 t
- Least Developed Countries (LDCs) 1 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.