Sweeteners, Other — 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
76
Highest
16,005 1000 t
Brazil
Lowest
0 1000 t
Ukraine
Median
11.5 1000 t
Years covered
14
2010–2023
Data points
1,874

What the numbers show

Sweeteners, Other — Other uses (non-food) is currently reported for 76 countries. The highest value is 16,005 1000 t in Brazil; the lowest is 0 1000 t in Ukraine.

The median across all reporting countries is 11.5 1000 t, and the mean is 330.68 1000 t.

Over the past decade 26 countries rose and 37 fell. The largest increase was in Eswatini (up 300.0%), and the largest decrease in Lithuania (down 100.0%).

Sweeteners, Other — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 16,005 1000 t 2023 up 15.7% flat
2 Thailand 2,509 1000 t 2023 down 5.8% rising
3 Mexico 1,457 1000 t 2023 up 53.2% rising
4 France 798 1000 t 2023 down 47.0% falling
5 United Kingdom of Great Britain and Northern Ireland 520 1000 t 2023 down 22.8% falling
6 Austria 506 1000 t 2023 up 27.1% rising
7 Argentina 388 1000 t 2023 volatile
8 Netherlands (Kingdom of the) 292 1000 t 2023 up 55.3% rising
9 Belgium 291 1000 t 2023 down 40.0% falling
10 Guatemala 229 1000 t 2023 down 40.5% falling
11 Denmark 206 1000 t 2023 up 25.6% rising
12 Spain 200 1000 t 2023 up 177.8% rising
13 Indonesia 176 1000 t 2023 down 52.8% falling
14 Germany 136 1000 t 2023 up 41.7% rising
15 Malaysia 114 1000 t 2023 up 70.1% rising
16 Ecuador 105 1000 t 2023 down 16.7% falling
17 Ireland 104 1000 t 2023 up 73.3% rising
18 Cuba 86 1000 t 2019 up 120.5% volatile
19 Australia and New Zealand 82 1000 t 2023 up 127.8% rising
20 New Zealand 73 1000 t 2023 up 170.4% rising
21 Costa Rica 71 1000 t 2023 down 36.6% rising
22 Poland 69 1000 t 2023 down 77.4% volatile
23 Italy 67 1000 t 2023 down 63.6% falling
24 Philippines 66 1000 t 2023 down 50.0% volatile
25 India 64 1000 t 2023 up 204.8% rising
26 Greece 56 1000 t 2023 down 21.1% falling
27 Czechia 49 1000 t 2023 down 33.8% falling
28 Sweden 47 1000 t 2023 up 123.8% rising
29 Bulgaria 32 1000 t 2023 down 55.6% volatile
30 Finland 31 1000 t 2023 up 6.9% flat
31 Slovenia 28 1000 t 2023 up 7.7% flat
32 Hungary 24 1000 t 2023 up 4.3% volatile
32 Peru 24 1000 t 2023 down 36.8% falling
34 Romania 21 1000 t 2023 up 23.5% rising
35 Paraguay 18 1000 t 2023 down 25.0% falling
36 United Arab Emirates 16 1000 t 2023 down 42.9% falling
37 Burkina Faso 15 1000 t 2023 down 11.8% falling
38 Guinea 12 1000 t 2023 down 7.7% falling
39 Switzerland 11 1000 t 2023 down 47.6% falling
39 Oman 11 1000 t 2023 up 22.2% rising
39 Slovakia 11 1000 t 2023 down 85.1% volatile
42 Australia 9 1000 t 2023 unchanged volatile
43 Canada 8 1000 t 2023 down 11.1% falling
43 Mauritius 8 1000 t 2023 up 14.3% volatile
43 El Salvador 8 1000 t 2023 down 33.3% falling
43 Eswatini 8 1000 t 2023 up 300.0% volatile
43 Russian Federation 8 1000 t 2023 down 33.3% flat
48 Ghana 7 1000 t 2023 up 250.0% volatile
48 Portugal 7 1000 t 2023 unchanged rising
50 China 6 1000 t 2023 up 20.0% rising
50 Iceland 6 1000 t 2023 up 20.0% flat
50 China, Taiwan Province of 6 1000 t 2023 up 20.0% rising
53 Chile 5 1000 t 2023 down 16.7% flat
53 Norway 5 1000 t 2023 down 28.6% falling
55 Bangladesh 4 1000 t 2023 up 100.0% rising
56 Colombia 3 1000 t 2023 down 40.0% falling
56 Rwanda 3 1000 t 2023 unchanged falling
56 Republic of Korea 3 1000 t 2023 down 40.0% rising
59 Bosnia and Herzegovina 2 1000 t 2023 down 89.5% volatile
59 Liberia 2 1000 t 2023 unchanged flat
61 Kuwait 1 1000 t 2023 volatile
61 Sri Lanka 1 1000 t 2023 unchanged rising
61 Montenegro 1 1000 t 2023 unchanged falling
61 Sierra Leone 1 1000 t 2023 unchanged flat
65 Kazakhstan 0 1000 t 2023 volatile
65 Kyrgyzstan 0 1000 t 2023 volatile
65 Lithuania 0 1000 t 2023 down 100.0% volatile
65 Luxembourg 0 1000 t 2023 down 100.0% volatile
65 Latvia 0 1000 t 2023 volatile
65 North Macedonia 0 1000 t 2023 down 100.0% falling
65 Mauritania 0 1000 t 2021 down 100.0% falling
65 New Caledonia 0 1000 t 2023 down 100.0% volatile
65 Panama 0 1000 t 2023 down 100.0% volatile
65 Saudi Arabia 0 1000 t 2023 down 100.0% volatile
65 Serbia 0 1000 t 2023 volatile
65 Ukraine 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.

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Sweeteners, Other — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/sweeteners-other-other-uses-non-food/

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About this data

Indicator
Sweeteners, Other — 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
147 places, 1,874 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.