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
172
Highest
2,304 1000 t
Zimbabwe
Lowest
-2,467 1000 t
Ethiopia
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,761

What the numbers show

Sugar Crops — Residuals is currently reported for 172 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 -9.82 1000 t.

Over the past decade 13 countries rose and 12 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 Angola 0 1000 t 2023 flat
4 Albania 0 1000 t 2023 flat
4 United Arab Emirates 0 1000 t 2023 flat
4 Argentina 0 1000 t 2023 down 100.0% volatile
4 Armenia 0 1000 t 2023 flat
4 Antigua and Barbuda 0 1000 t 2023 flat
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 Bulgaria 0 1000 t 2023 flat
4 Bahrain 0 1000 t 2023 flat
4 Bahamas 0 1000 t 2023 flat
4 Bosnia and Herzegovina 0 1000 t 2023 flat
4 Belarus 0 1000 t 2023 flat
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 Bhutan 0 1000 t 2023 flat
4 Botswana 0 1000 t 2023 flat
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 Cameroon 0 1000 t 2023 flat
4 Congo 0 1000 t 2023 flat
4 Comoros 0 1000 t 2023 flat
4 Costa Rica 0 1000 t 2023 volatile
4 Cuba 0 1000 t 2019 flat
4 Czechia 0 1000 t 2023 volatile
4 Germany 0 1000 t 2023 down 100.0% volatile
4 Djibouti 0 1000 t 2023 flat
4 Denmark 0 1000 t 2023 volatile
4 Dominican Republic 0 1000 t 2023 flat
4 Algeria 0 1000 t 2023 volatile
4 Ecuador 0 1000 t 2023 flat
4 Egypt 0 1000 t 2023 flat
4 Spain 0 1000 t 2023 down 100.0% volatile
4 Estonia 0 1000 t 2023 flat
4 Finland 0 1000 t 2023 flat
4 Fiji 0 1000 t 2023 up 100.0% volatile
4 France 0 1000 t 2023 volatile
4 Gabon 0 1000 t 2023 flat
4 Georgia 0 1000 t 2023 flat
4 Ghana 0 1000 t 2023 volatile
4 Guinea 0 1000 t 2023 volatile
4 Gambia 0 1000 t 2023 flat
4 Guinea-Bissau 0 1000 t 2023 flat
4 Greece 0 1000 t 2023 volatile
4 Grenada 0 1000 t 2023 flat
4 Guatemala 0 1000 t 2023 up 100.0% volatile
4 Guyana 0 1000 t 2023 flat
4 Honduras 0 1000 t 2023 flat
4 Croatia 0 1000 t 2023 volatile
4 Haiti 0 1000 t 2023 flat
4 Hungary 0 1000 t 2023 flat
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 Iraq 0 1000 t 2023 flat
4 Iceland 0 1000 t 2023 flat
4 Israel 0 1000 t 2023 flat
4 Italy 0 1000 t 2023 flat
4 Jamaica 0 1000 t 2023 volatile
4 Jordan 0 1000 t 2023 flat
4 Kazakhstan 0 1000 t 2023 volatile
4 Kenya 0 1000 t 2023 volatile
4 Kyrgyzstan 0 1000 t 2023 volatile
4 Cambodia 0 1000 t 2023 flat
4 Kiribati 0 1000 t 2021 flat
4 Saint Kitts and Nevis 0 1000 t 2023 flat
4 Kuwait 0 1000 t 2023 flat
4 Liberia 0 1000 t 2023 flat
4 Saint Lucia 0 1000 t 2023 flat
4 Sri Lanka 0 1000 t 2023 flat
4 Lesotho 0 1000 t 2023 flat
4 Lithuania 0 1000 t 2023 flat
4 Luxembourg 0 1000 t 2023 flat
4 Morocco 0 1000 t 2023 volatile
4 Madagascar 0 1000 t 2023 flat
4 Maldives 0 1000 t 2023 flat
4 Mexico 0 1000 t 2023 flat
4 Marshall Islands 0 1000 t 2023 flat
4 North Macedonia 0 1000 t 2023 flat
4 Malta 0 1000 t 2023 flat
4 Myanmar 0 1000 t 2023 flat
4 Montenegro 0 1000 t 2023 flat
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 Namibia 0 1000 t 2023 flat
4 Niger 0 1000 t 2023 flat
4 Nigeria 0 1000 t 2023 volatile
4 Nicaragua 0 1000 t 2023 volatile
4 Norway 0 1000 t 2023 flat
4 Nepal 0 1000 t 2023 volatile
4 Nauru 0 1000 t 2023 flat
4 New Zealand 0 1000 t 2023 flat
4 Oman 0 1000 t 2023 flat
4 Panama 0 1000 t 2023 volatile
4 Philippines 0 1000 t 2023 volatile
4 Papua New Guinea 0 1000 t 2023 flat
4 Poland 0 1000 t 2023 down 100.0% volatile
4 Portugal 0 1000 t 2023 down 100.0% volatile
4 Paraguay 0 1000 t 2023 flat
4 French Polynesia 0 1000 t 2023 flat
4 Qatar 0 1000 t 2023 flat
4 Romania 0 1000 t 2023 up 100.0% volatile
4 Rwanda 0 1000 t 2023 volatile
4 Saudi Arabia 0 1000 t 2023 flat
4 Senegal 0 1000 t 2023 flat
4 Solomon Islands 0 1000 t 2021 flat
4 El Salvador 0 1000 t 2023 flat
4 Serbia 0 1000 t 2023 flat
4 Suriname 0 1000 t 2023 flat
4 Slovakia 0 1000 t 2023 up 100.0% volatile
4 Slovenia 0 1000 t 2023 volatile
4 Sweden 0 1000 t 2023 flat
4 Seychelles 0 1000 t 2023 flat
4 Thailand 0 1000 t 2023 volatile
4 Turkmenistan 0 1000 t 2023 down 100.0% volatile
4 Trinidad and Tobago 0 1000 t 2023 flat
4 Tunisia 0 1000 t 2023 volatile
4 Ukraine 0 1000 t 2023 volatile
4 Uruguay 0 1000 t 2023 volatile
4 Uzbekistan 0 1000 t 2023 flat
4 Vanuatu 0 1000 t 2023 flat
4 Samoa 0 1000 t 2023 flat
4 Yemen 0 1000 t 2023 flat
4 Zambia 0 1000 t 2023 flat
4 Micronesia 0 1000 t 2023 flat
4 Timor-Leste 0 1000 t 2023 flat
4 Cabo Verde 0 1000 t 2023 flat
4 Melanesia 0 1000 t 2023 up 100.0% volatile
4 Polynesia 0 1000 t 2023 flat
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 China, Hong Kong SAR 0 1000 t 2018 flat
4 Iran (Islamic Republic of) 0 1000 t 2023 flat
4 Republic of Korea 0 1000 t 2023 flat
4 Republic of Moldova 0 1000 t 2023 flat
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 Viet Nam 0 1000 t 2023 flat
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 Côte d'Ivoire 0 1000 t 2023 flat
4 Lao People's Democratic Republic 0 1000 t 2023 volatile
4 United Republic of Tanzania 0 1000 t 2023 flat
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
4 China, Macao SAR 0 1000 t 2023 flat
164 Libya -1 1000 t 2023 volatile
165 Cyprus -2 1000 t 2023 volatile
166 Eswatini -3 1000 t 2023 volatile
167 Lebanon -4 1000 t 2023 volatile
168 Sierra Leone -40 1000 t 2023 volatile
169 Latvia -94 1000 t 2023 volatile
170 Colombia -511 1000 t 2023 volatile
171 Pakistan -1,144 1000 t 2023 up 21.9% volatile
172 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.

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
203 places, 2,761 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.