Sugar Crops — Export 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
117
Highest
345 1000 t
Germany
Lowest
0 1000 t
China, Taiwan Province of
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,666

What the numbers show

Sugar Crops — Export quantity is currently reported for 117 countries. The highest value is 345 1000 t in Germany; 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 10.79 1000 t.

Over the past decade 6 countries rose and 10 fell. The largest increase was in Germany (up 1,280.0%), and the largest decrease in Austria (down 100.0%).

Sugar Crops — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 345 1000 t 2023 up 1,280.0% volatile
2 Slovakia 191 1000 t 2023 volatile
3 Myanmar 190 1000 t 2023 up 175.4% rising
4 Belgium 178 1000 t 2023 up 394.4% volatile
5 Latvia 100 1000 t 2023 volatile
6 Poland 95 1000 t 2023 volatile
7 Lao People's Democratic Republic 84 1000 t 2023 up 265.2% volatile
8 Slovenia 11 1000 t 2023 volatile
8 Viet Nam 11 1000 t 2023 volatile
10 Malaysia 8 1000 t 2023 down 20.0% volatile
11 France 6 1000 t 2023 up 500.0% volatile
12 China 5 1000 t 2023 unchanged rising
12 Denmark 5 1000 t 2023 volatile
12 Hungary 5 1000 t 2023 down 97.2% volatile
12 China, mainland 5 1000 t 2023 unchanged rising
16 Lebanon 4 1000 t 2023 volatile
17 Netherlands (Kingdom of the) 3 1000 t 2023 down 98.6% volatile
18 Cyprus 2 1000 t 2023 down 50.0% falling
18 Morocco 2 1000 t 2023 volatile
18 Türkiye 2 1000 t 2023 volatile
18 United Kingdom of Great Britain and Northern Ireland 2 1000 t 2023 up 100.0% volatile
22 Angola 1 1000 t 2023 volatile
22 Brazil 1 1000 t 2023 volatile
22 Costa Rica 1 1000 t 2023 volatile
22 Czechia 1 1000 t 2023 volatile
22 Algeria 1 1000 t 2023 unchanged volatile
22 Spain 1 1000 t 2023 unchanged volatile
22 India 1 1000 t 2023 volatile
22 Pakistan 1 1000 t 2023 volatile
22 Uganda 1 1000 t 2023 volatile
31 Afghanistan 0 1000 t 2023 flat
31 Albania 0 1000 t 2019 flat
31 United Arab Emirates 0 1000 t 2023 flat
31 Australia 0 1000 t 2023 flat
31 Austria 0 1000 t 2023 down 100.0% volatile
31 Azerbaijan 0 1000 t 2023 volatile
31 Bangladesh 0 1000 t 2023 flat
31 Bulgaria 0 1000 t 2023 flat
31 Belarus 0 1000 t 2023 flat
31 Barbados 0 1000 t 2021 flat
31 Botswana 0 1000 t 2023 flat
31 Canada 0 1000 t 2023 down 100.0% volatile
31 Switzerland 0 1000 t 2023 flat
31 Chile 0 1000 t 2023 flat
31 Cameroon 0 1000 t 2023 flat
31 Colombia 0 1000 t 2023 down 100.0% volatile
31 Dominican Republic 0 1000 t 2023 flat
31 Ecuador 0 1000 t 2022 flat
31 Egypt 0 1000 t 2023 volatile
31 Estonia 0 1000 t 2022 flat
31 Ethiopia 0 1000 t 2021 flat
31 Fiji 0 1000 t 2023 flat
31 Ghana 0 1000 t 2023 flat
31 Greece 0 1000 t 2022 flat
31 Guatemala 0 1000 t 2022 flat
31 Guyana 0 1000 t 2021 flat
31 Honduras 0 1000 t 2022 flat
31 Croatia 0 1000 t 2020 down 100.0% volatile
31 Haiti 0 1000 t 2023 flat
31 Indonesia 0 1000 t 2023 volatile
31 Ireland 0 1000 t 2022 flat
31 Israel 0 1000 t 2023 flat
31 Italy 0 1000 t 2023 flat
31 Jamaica 0 1000 t 2023 flat
31 Kazakhstan 0 1000 t 2023 volatile
31 Kenya 0 1000 t 2016 flat
31 Kyrgyzstan 0 1000 t 2023 volatile
31 Cambodia 0 1000 t 2023 down 100.0% volatile
31 Kuwait 0 1000 t 2023 flat
31 Saint Lucia 0 1000 t 2020 flat
31 Sri Lanka 0 1000 t 2019 flat
31 Lithuania 0 1000 t 2023 volatile
31 Luxembourg 0 1000 t 2023 flat
31 Mexico 0 1000 t 2022 down 100.0% volatile
31 Malta 0 1000 t 2021 flat
31 Mozambique 0 1000 t 2023 flat
31 Mauritius 0 1000 t 2023 flat
31 Malawi 0 1000 t 2022 flat
31 Namibia 0 1000 t 2023 flat
31 Niger 0 1000 t 2022 flat
31 Nigeria 0 1000 t 2023 volatile
31 Nicaragua 0 1000 t 2022 flat
31 Norway 0 1000 t 2022 flat
31 Nepal 0 1000 t 2017 flat
31 Oman 0 1000 t 2023 flat
31 Peru 0 1000 t 2023 flat
31 Philippines 0 1000 t 2019 flat
31 Portugal 0 1000 t 2023 flat
31 Paraguay 0 1000 t 2019 flat
31 Romania 0 1000 t 2022 flat
31 Rwanda 0 1000 t 2022 flat
31 Saudi Arabia 0 1000 t 2023 flat
31 Senegal 0 1000 t 2023 flat
31 El Salvador 0 1000 t 2022 flat
31 Serbia 0 1000 t 2023 volatile
31 Sweden 0 1000 t 2023 flat
31 Eswatini 0 1000 t 2019 flat
31 Thailand 0 1000 t 2023 volatile
31 Tunisia 0 1000 t 2023 flat
31 Ukraine 0 1000 t 2023 flat
31 Samoa 0 1000 t 2021 flat
31 Yemen 0 1000 t 2022 flat
31 Zambia 0 1000 t 2023 flat
31 Zimbabwe 0 1000 t 2021 flat
31 Melanesia 0 1000 t 2023 flat
31 Polynesia 0 1000 t 2023 flat
31 Democratic Republic of the Congo 0 1000 t 2023 flat
31 Caribbean 0 1000 t 2023 flat
31 China, Hong Kong SAR 0 1000 t 2018 flat
31 Iran (Islamic Republic of) 0 1000 t 2023 flat
31 Republic of Korea 0 1000 t 2022 flat
31 Russian Federation 0 1000 t 2023 flat
31 Syrian Arab Republic 0 1000 t 2022 flat
31 Australia and New Zealand 0 1000 t 2023 flat
31 Côte d'Ivoire 0 1000 t 2023 flat
31 United Republic of Tanzania 0 1000 t 2023 flat
31 China, Taiwan Province of 0 1000 t 2019 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 Crops — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
148 places, 1,666 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.