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...

Countries reporting
101
Highest
354 1000 t
Czechia
Lowest
0 1000 t
China, Taiwan Province of
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,439

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Sugar beet — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
132 places, 1,439 data points, 2010–2023
Last refreshed

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.