Sugar (Raw Equivalent) — Other uses (non-food) 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
85
Highest
476 1000 t
Germany
Lowest
0 1000 t
Australia and New Zealand
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,321

What the numbers show

Sugar (Raw Equivalent) — Other uses (non-food) is currently reported for 85 countries. The highest value is 476 1000 t in Germany; the lowest is 0 1000 t in Australia and New Zealand.

The median across all reporting countries is 0 1000 t, and the mean is 29.75 1000 t.

Over the past decade 12 countries rose and 34 fell. The largest increase was in Mauritania (up 812.0%), and the largest decrease in Bahamas (down 100.0%).

Sugar (Raw Equivalent) — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 476 1000 t 2023 up 8.2% rising
2 Peru 424 1000 t 2023 up 26.9% rising
3 Algeria 366 1000 t 2023 up 67.1% rising
4 Mexico 313 1000 t 2023 up 627.9% volatile
5 Mauritania 228 1000 t 2023 up 812.0% volatile
6 Indonesia 172 1000 t 2023 up 23.7% rising
7 Angola 135 1000 t 2023 up 70.9% rising
8 Netherlands (Kingdom of the) 115 1000 t 2023 down 1.7% falling
9 Nicaragua 58 1000 t 2023 up 9.4% rising
10 Denmark 40 1000 t 2023 up 17.6% rising
10 Sri Lanka 40 1000 t 2023 up 21.2% rising
12 Bosnia and Herzegovina 32 1000 t 2023 down 5.9% rising
12 El Salvador 32 1000 t 2023 down 34.7% falling
14 Egypt 29 1000 t 2023 down 94.7% volatile
15 Sweden 14 1000 t 2023 down 36.4% volatile
16 Botswana 13 1000 t 2023 down 18.8% falling
17 China 8 1000 t 2023 up 700.0% volatile
17 China, Taiwan Province of 8 1000 t 2023 up 700.0% volatile
19 Finland 7 1000 t 2023 down 79.4% volatile
20 Estonia 6 1000 t 2023 volatile
20 Venezuela (Bolivarian Republic of) 6 1000 t 2023 down 45.5% falling
22 Montenegro 3 1000 t 2023 down 25.0% falling
22 Slovenia 3 1000 t 2023 down 66.7% volatile
24 Paraguay 1 1000 t 2023 down 75.0% falling
25 Albania 0 1000 t 2018 flat
25 Armenia 0 1000 t 2021 flat
25 Antigua and Barbuda 0 1000 t 2021 flat
25 Australia 0 1000 t 2018 flat
25 Austria 0 1000 t 2022 flat
25 Azerbaijan 0 1000 t 2018 flat
25 Bangladesh 0 1000 t 2018 flat
25 Bulgaria 0 1000 t 2023 flat
25 Bahamas 0 1000 t 2023 down 100.0% volatile
25 Belarus 0 1000 t 2018 down 100.0% volatile
25 Belize 0 1000 t 2018 flat
25 Brazil 0 1000 t 2023 down 100.0% volatile
25 Barbados 0 1000 t 2018 flat
25 Switzerland 0 1000 t 2018 volatile
25 Cuba 0 1000 t 2019 flat
25 Cyprus 0 1000 t 2018 down 100.0% volatile
25 Czechia 0 1000 t 2018 volatile
25 Ecuador 0 1000 t 2018 flat
25 Spain 0 1000 t 2021 down 100.0% volatile
25 Fiji 0 1000 t 2023 down 100.0% volatile
25 Gambia 0 1000 t 2021 flat
25 Greece 0 1000 t 2023 down 100.0% volatile
25 Guatemala 0 1000 t 2018 down 100.0% volatile
25 Guyana 0 1000 t 2023 down 100.0% volatile
25 Hungary 0 1000 t 2023 flat
25 Iraq 0 1000 t 2023 down 100.0% volatile
25 Iceland 0 1000 t 2021 down 100.0% volatile
25 Israel 0 1000 t 2022 down 100.0% volatile
25 Kiribati 0 1000 t 2018 flat
25 Saint Kitts and Nevis 0 1000 t 2023 flat
25 Libya 0 1000 t 2021 flat
25 Saint Lucia 0 1000 t 2018 flat
25 Lithuania 0 1000 t 2018 down 100.0% volatile
25 Latvia 0 1000 t 2023 flat
25 Morocco 0 1000 t 2022 down 100.0% volatile
25 Maldives 0 1000 t 2023 flat
25 Malta 0 1000 t 2021 flat
25 Malaysia 0 1000 t 2021 flat
25 New Caledonia 0 1000 t 2018 flat
25 Panama 0 1000 t 2023 down 100.0% volatile
25 Philippines 0 1000 t 2021 flat
25 Portugal 0 1000 t 2023 down 100.0% volatile
25 French Polynesia 0 1000 t 2023 down 100.0% volatile
25 Senegal 0 1000 t 2018 flat
25 Suriname 0 1000 t 2022 down 100.0% volatile
25 Eswatini 0 1000 t 2018 down 100.0% volatile
25 Seychelles 0 1000 t 2021 flat
25 Tonga 0 1000 t 2023 flat
25 Saint Vincent and the Grenadines 0 1000 t 2023 flat
25 Samoa 0 1000 t 2021 flat
25 Yemen 0 1000 t 2021 flat
25 Micronesia 0 1000 t 2023 flat
25 Cabo Verde 0 1000 t 2021 flat
25 Melanesia 0 1000 t 2023 down 100.0% volatile
25 Polynesia 0 1000 t 2023 down 100.0% volatile
25 China, Hong Kong SAR 0 1000 t 2018 flat
25 Republic of Korea 0 1000 t 2018 down 100.0% volatile
25 Russian Federation 0 1000 t 2018 down 100.0% volatile
25 Viet Nam 0 1000 t 2021 flat
25 Türkiye 0 1000 t 2018 flat
25 Australia and New Zealand 0 1000 t 2018 flat

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Sugar (Raw Equivalent) — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/sugar-raw-equivalent-other-uses-non-food/

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About this data

Indicator
Sugar (Raw Equivalent) — Other uses (non-food)
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
115 places, 1,321 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.