Sugar Crops — Residuals 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
90
Highest
2,304 1000 t
Zimbabwe
Lowest
-2,467 1000 t
Ethiopia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,899

What the numbers show

Sugar Crops — Residuals is currently reported for 90 countries. The highest value is 2,304 1000 t in Zimbabwe; the lowest is -2,467 1000 t in Ethiopia.

The median across all reporting countries is 0 1000 t, and the mean is -18.77 1000 t.

Over the past decade 15 countries rose and 13 fell. The largest increase was in Australia (up 100.0%), and the largest decrease in Argentina (down 100.0%).

Sugar Crops — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Zimbabwe 2,304 1000 t 2023 — volatile
2 Uganda 256 1000 t 2023 — volatile
3 Peru 17 1000 t 2023 — volatile
4 Afghanistan 0 1000 t 2023 — volatile
4 Argentina 0 1000 t 2023 down 100.0% volatile
4 Australia 0 1000 t 2023 up 100.0% volatile
4 Austria 0 1000 t 2023 — volatile
4 Azerbaijan 0 1000 t 2023 — volatile
4 Belgium 0 1000 t 2023 — volatile
4 Burkina Faso 0 1000 t 2023 — volatile
4 Bangladesh 0 1000 t 2023 — volatile
4 Belize 0 1000 t 2023 — volatile
4 Brazil 0 1000 t 2023 up 100.0% volatile
4 Barbados 0 1000 t 2023 — volatile
4 Canada 0 1000 t 2023 — volatile
4 Switzerland 0 1000 t 2023 — volatile
4 Chile 0 1000 t 2023 — volatile
4 China 0 1000 t 2023 — volatile
4 Costa Rica 0 1000 t 2023 — volatile
4 Czechia 0 1000 t 2023 — volatile
4 Germany 0 1000 t 2023 down 100.0% volatile
4 Denmark 0 1000 t 2023 — volatile
4 Algeria 0 1000 t 2023 — volatile
4 Spain 0 1000 t 2023 down 100.0% volatile
4 Fiji 0 1000 t 2023 up 100.0% volatile
4 France 0 1000 t 2023 — volatile
4 United Kingdom 0 1000 t 2023 down 100.0% volatile
4 Ghana 0 1000 t 2023 — volatile
4 Guinea 0 1000 t 2023 — volatile
4 Greece 0 1000 t 2023 — volatile
4 Guatemala 0 1000 t 2023 up 100.0% volatile
4 Croatia 0 1000 t 2023 — volatile
4 Indonesia 0 1000 t 2023 — volatile
4 India 0 1000 t 2023 down 100.0% volatile
4 Ireland 0 1000 t 2023 down 100.0% volatile
4 Italy 0 1000 t 2023 — flat
4 Jamaica 0 1000 t 2023 — volatile
4 Kazakhstan 0 1000 t 2023 — volatile
4 Kenya 0 1000 t 2023 — volatile
4 Kyrgyzstan 0 1000 t 2023 — volatile
4 Laos 0 1000 t 2023 — volatile
4 Morocco 0 1000 t 2023 — volatile
4 Mozambique 0 1000 t 2023 — volatile
4 Mauritius 0 1000 t 2023 up 100.0% volatile
4 Malawi 0 1000 t 2023 up 100.0% volatile
4 Malaysia 0 1000 t 2023 up 100.0% volatile
4 Nigeria 0 1000 t 2023 — volatile
4 Nicaragua 0 1000 t 2023 — volatile
4 Nepal 0 1000 t 2023 — volatile
4 Panama 0 1000 t 2023 — volatile
4 Philippines 0 1000 t 2023 — volatile
4 Poland 0 1000 t 2023 down 100.0% volatile
4 Portugal 0 1000 t 2023 down 100.0% volatile
4 Romania 0 1000 t 2023 up 100.0% volatile
4 Russia 0 1000 t 2023 up 100.0% volatile
4 Rwanda 0 1000 t 2023 — volatile
4 Slovakia 0 1000 t 2023 up 100.0% volatile
4 Slovenia 0 1000 t 2023 — volatile
4 Syria 0 1000 t 2023 — volatile
4 Thailand 0 1000 t 2023 — volatile
4 Turkmenistan 0 1000 t 2023 down 100.0% volatile
4 Tunisia 0 1000 t 2023 — volatile
4 Turkey 0 1000 t 2023 — volatile
4 Ukraine 0 1000 t 2023 — volatile
4 Uruguay 0 1000 t 2023 — volatile
4 United States 0 1000 t 2023 up 100.0% volatile
4 South Africa 0 1000 t 2023 — volatile
4 Melanesia 0 1000 t 2023 up 100.0% volatile
4 Democratic Republic of the Congo 0 1000 t 2023 — volatile
4 Caribbean 0 1000 t 2023 — volatile
4 Bolivia (Plurinational State of) 0 1000 t 2023 down 100.0% volatile
4 Russian Federation 0 1000 t 2023 up 100.0% volatile
4 Syrian Arab Republic 0 1000 t 2023 — volatile
4 Venezuela (Bolivarian Republic of) 0 1000 t 2023 down 100.0% volatile
4 Türkiye 0 1000 t 2023 — volatile
4 Australia and New Zealand 0 1000 t 2023 up 100.0% volatile
4 China, mainland 0 1000 t 2023 — volatile
4 Lao People's Democratic Republic 0 1000 t 2023 — volatile
4 China, Taiwan Province of 0 1000 t 2023 — volatile
4 Netherlands (Kingdom of the) 0 1000 t 2023 — volatile
4 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 down 100.0% volatile
176 Libya -1 1000 t 2023 — volatile
177 Cyprus -2 1000 t 2023 — volatile
178 Eswatini -3 1000 t 2023 — volatile
179 Lebanon -4 1000 t 2023 — volatile
180 Sierra Leone -40 1000 t 2023 — volatile
181 Latvia -94 1000 t 2023 — volatile
182 Colombia -511 1000 t 2023 — volatile
183 Pakistan -1,144 1000 t 2023 up 21.9% volatile
184 Ethiopia -2,467 1000 t 2023 down 79.3% falling

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 Crops — Residuals by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/sugar-crops-residuals/

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About this data

Indicator
Sugar Crops — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
214 places, 2,899 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.