Sugar beet — Import quantity 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 — Import quantity is currently reported for 101 countries. The highest value is 354 1000 t in Czechia; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 11.55 1000 t.
Over the past decade 5 countries rose and 7 fell. The largest increase was in Hungary (up 4,600.0%), and the largest decrease in Ireland (down 100.0%).
Sugar beet — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Czechia | 354 1000 t | 2023 | up 190.2% | rising |
| 2 | Switzerland | 340 1000 t | 2023 | up 2,166.7% | volatile |
| 3 | Lithuania | 125 1000 t | 2023 | — | volatile |
| 4 | Germany | 97 1000 t | 2023 | down 64.6% | volatile |
| 5 | Croatia | 52 1000 t | 2023 | down 70.8% | volatile |
| 6 | France | 51 1000 t | 2023 | — | volatile |
| 7 | Hungary | 47 1000 t | 2023 | up 4,600.0% | volatile |
| 8 | Belgium | 40 1000 t | 2023 | up 233.3% | volatile |
| 9 | Denmark | 15 1000 t | 2023 | — | volatile |
| 10 | Netherlands (Kingdom of the) | 14 1000 t | 2023 | down 81.6% | volatile |
| 11 | Latvia | 6 1000 t | 2023 | up 500.0% | volatile |
| 12 | Sweden | 5 1000 t | 2023 | — | volatile |
| 12 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | down 54.5% | volatile |
| 14 | Slovenia | 4 1000 t | 2023 | — | volatile |
| 15 | Austria | 3 1000 t | 2023 | — | volatile |
| 16 | Italy | 2 1000 t | 2023 | unchanged | volatile |
| 16 | Saudi Arabia | 2 1000 t | 2022 | — | volatile |
| 18 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 18 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 18 | Oman | 1 1000 t | 2023 | — | volatile |
| 18 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 18 | Australia and New Zealand | 1 1000 t | 2023 | — | volatile |
| 23 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 23 | Angola | 0 1000 t | 2022 | — | flat |
| 23 | Armenia | 0 1000 t | 2023 | — | flat |
| 23 | Australia | 0 1000 t | 2022 | — | flat |
| 23 | Azerbaijan | 0 1000 t | 2022 | — | flat |
| 23 | Bangladesh | 0 1000 t | 2021 | — | flat |
| 23 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 23 | Bahrain | 0 1000 t | 2023 | — | flat |
| 23 | Bahamas | 0 1000 t | 2023 | — | flat |
| 23 | Belarus | 0 1000 t | 2023 | — | flat |
| 23 | Brazil | 0 1000 t | 2022 | — | flat |
| 23 | Botswana | 0 1000 t | 2023 | — | flat |
| 23 | Canada | 0 1000 t | 2023 | — | flat |
| 23 | Chile | 0 1000 t | 2022 | — | flat |
| 23 | China | 0 1000 t | 2023 | — | flat |
| 23 | Cyprus | 0 1000 t | 2023 | — | flat |
| 23 | Algeria | 0 1000 t | 2022 | — | flat |
| 23 | Egypt | 0 1000 t | 2023 | — | flat |
| 23 | Spain | 0 1000 t | 2023 | — | volatile |
| 23 | Estonia | 0 1000 t | 2023 | — | volatile |
| 23 | Ethiopia | 0 1000 t | 2016 | — | flat |
| 23 | Finland | 0 1000 t | 2023 | — | volatile |
| 23 | Georgia | 0 1000 t | 2015 | — | flat |
| 23 | Ghana | 0 1000 t | 2023 | — | flat |
| 23 | Gambia | 0 1000 t | 2023 | — | flat |
| 23 | Greece | 0 1000 t | 2023 | — | flat |
| 23 | Indonesia | 0 1000 t | 2022 | — | flat |
| 23 | India | 0 1000 t | 2020 | — | flat |
| 23 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 23 | Iraq | 0 1000 t | 2022 | — | flat |
| 23 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 23 | Jordan | 0 1000 t | 2021 | — | flat |
| 23 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 23 | Kenya | 0 1000 t | 2016 | — | flat |
| 23 | Kiribati | 0 1000 t | 2021 | — | flat |
| 23 | Kuwait | 0 1000 t | 2023 | — | flat |
| 23 | Lebanon | 0 1000 t | 2023 | — | flat |
| 23 | Libya | 0 1000 t | 2022 | — | flat |
| 23 | Sri Lanka | 0 1000 t | 2022 | — | flat |
| 23 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 23 | Maldives | 0 1000 t | 2023 | — | volatile |
| 23 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 23 | North Macedonia | 0 1000 t | 2015 | — | flat |
| 23 | Malta | 0 1000 t | 2023 | — | flat |
| 23 | Montenegro | 0 1000 t | 2022 | — | flat |
| 23 | Malaysia | 0 1000 t | 2023 | — | flat |
| 23 | Namibia | 0 1000 t | 2023 | — | flat |
| 23 | Niger | 0 1000 t | 2023 | — | volatile |
| 23 | Norway | 0 1000 t | 2023 | — | flat |
| 23 | Nepal | 0 1000 t | 2023 | — | flat |
| 23 | Pakistan | 0 1000 t | 2016 | — | flat |
| 23 | Poland | 0 1000 t | 2023 | — | flat |
| 23 | Portugal | 0 1000 t | 2023 | — | flat |
| 23 | Romania | 0 1000 t | 2023 | — | volatile |
| 23 | Senegal | 0 1000 t | 2021 | — | flat |
| 23 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 23 | Serbia | 0 1000 t | 2020 | — | volatile |
| 23 | Eswatini | 0 1000 t | 2017 | — | flat |
| 23 | Seychelles | 0 1000 t | 2023 | — | flat |
| 23 | Thailand | 0 1000 t | 2019 | — | flat |
| 23 | Uganda | 0 1000 t | 2016 | — | flat |
| 23 | Samoa | 0 1000 t | 2014 | — | flat |
| 23 | Yemen | 0 1000 t | 2022 | — | flat |
| 23 | Zambia | 0 1000 t | 2017 | — | flat |
| 23 | Zimbabwe | 0 1000 t | 2015 | — | flat |
| 23 | Micronesia | 0 1000 t | 2023 | — | flat |
| 23 | Melanesia | 0 1000 t | 2018 | — | flat |
| 23 | Polynesia | 0 1000 t | 2023 | — | flat |
| 23 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 23 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 23 | China, Hong Kong SAR | 0 1000 t | 2018 | — | flat |
| 23 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 23 | Republic of Korea | 0 1000 t | 2022 | — | flat |
| 23 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 23 | Türkiye | 0 1000 t | 2022 | — | flat |
| 23 | China, mainland | 0 1000 t | 2022 | — | flat |
| 23 | Côte d'Ivoire | 0 1000 t | 2020 | — | flat |
| 23 | United Republic of Tanzania | 0 1000 t | 2019 | — | flat |
| 23 | China, Taiwan Province of | 0 1000 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 1,165 1000 t
- Europe 1,162 1000 t
- European Union (27) 817 1000 t
- Western Europe 546 1000 t
- Eastern Europe 404 1000 t
- Northern Europe 155 1000 t
- Southern Europe 58 1000 t
- Asia 1 1000 t
- Oceania 1 1000 t
- Western Asia 1 1000 t
- Africa 0 1000 t
- South Africa 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.