Sugar & Sweeteners — 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...
What the numbers show
Sugar & Sweeteners — Residuals is currently reported for 181 countries. The highest value is 25 1000 t in Azerbaijan; the lowest is -203 1000 t in France.
The median across all reporting countries is 0 1000 t, and the mean is -3.08 1000 t.
Over the past decade 20 countries rose and 35 fell. The largest increase was in Armenia (up 100.0%), and the largest decrease in Canada (down 348.1%).
Sugar & Sweeteners — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Azerbaijan | 25 1000 t | 2023 | — | volatile |
| 2 | Djibouti | 13 1000 t | 2023 | — | volatile |
| 3 | Kiribati | 3 1000 t | 2023 | — | volatile |
| 3 | Micronesia | 3 1000 t | 2023 | — | volatile |
| 5 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 6 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Albania | 0 1000 t | 2023 | — | flat |
| 6 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 6 | Argentina | 0 1000 t | 2023 | — | volatile |
| 6 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 6 | Australia | 0 1000 t | 2023 | — | volatile |
| 6 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 6 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 6 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 6 | Bahamas | 0 1000 t | 2023 | — | flat |
| 6 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Belize | 0 1000 t | 2023 | — | volatile |
| 6 | Brazil | 0 1000 t | 2023 | — | volatile |
| 6 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 6 | Botswana | 0 1000 t | 2023 | — | flat |
| 6 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Chile | 0 1000 t | 2023 | — | flat |
| 6 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 6 | Congo | 0 1000 t | 2023 | — | flat |
| 6 | Colombia | 0 1000 t | 2023 | — | volatile |
| 6 | Comoros | 0 1000 t | 2023 | — | flat |
| 6 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 6 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 6 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 6 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Denmark | 0 1000 t | 2023 | — | flat |
| 6 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 6 | Egypt | 0 1000 t | 2023 | — | volatile |
| 6 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Estonia | 0 1000 t | 2023 | — | flat |
| 6 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Fiji | 0 1000 t | 2023 | — | flat |
| 6 | Gabon | 0 1000 t | 2023 | — | flat |
| 6 | Georgia | 0 1000 t | 2023 | — | flat |
| 6 | Ghana | 0 1000 t | 2023 | — | flat |
| 6 | Guinea | 0 1000 t | 2023 | — | flat |
| 6 | Gambia | 0 1000 t | 2023 | — | flat |
| 6 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 6 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Grenada | 0 1000 t | 2023 | — | flat |
| 6 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 6 | Guyana | 0 1000 t | 2023 | — | volatile |
| 6 | Honduras | 0 1000 t | 2023 | — | volatile |
| 6 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Haiti | 0 1000 t | 2023 | — | flat |
| 6 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | India | 0 1000 t | 2023 | — | volatile |
| 6 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Iceland | 0 1000 t | 2023 | — | flat |
| 6 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 6 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kazakhstan | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kenya | 0 1000 t | 2023 | — | flat |
| 6 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 6 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 6 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 6 | Liberia | 0 1000 t | 2023 | — | flat |
| 6 | Libya | 0 1000 t | 2023 | — | flat |
| 6 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 6 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 6 | Lesotho | 0 1000 t | 2023 | — | flat |
| 6 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 6 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Morocco | 0 1000 t | 2023 | — | volatile |
| 6 | Madagascar | 0 1000 t | 2023 | — | flat |
| 6 | Maldives | 0 1000 t | 2023 | — | flat |
| 6 | Mexico | 0 1000 t | 2023 | — | flat |
| 6 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 6 | North Macedonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Montenegro | 0 1000 t | 2023 | — | flat |
| 6 | Mongolia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 6 | Mauritania | 0 1000 t | 2023 | — | flat |
| 6 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 6 | Malawi | 0 1000 t | 2023 | — | flat |
| 6 | Namibia | 0 1000 t | 2023 | — | flat |
| 6 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Niger | 0 1000 t | 2023 | — | flat |
| 6 | Nigeria | 0 1000 t | 2023 | — | flat |
| 6 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 6 | Norway | 0 1000 t | 2023 | — | flat |
| 6 | Nepal | 0 1000 t | 2023 | — | flat |
| 6 | Nauru | 0 1000 t | 2023 | — | flat |
| 6 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Oman | 0 1000 t | 2023 | — | flat |
| 6 | Pakistan | 0 1000 t | 2023 | — | flat |
| 6 | Panama | 0 1000 t | 2023 | — | volatile |
| 6 | Peru | 0 1000 t | 2023 | — | flat |
| 6 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 6 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Portugal | 0 1000 t | 2023 | — | flat |
| 6 | Paraguay | 0 1000 t | 2023 | — | flat |
| 6 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 6 | Qatar | 0 1000 t | 2023 | — | flat |
| 6 | Rwanda | 0 1000 t | 2023 | — | flat |
| 6 | Saudi Arabia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 6 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 6 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 6 | Serbia | 0 1000 t | 2023 | — | volatile |
| 6 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 6 | Suriname | 0 1000 t | 2023 | — | flat |
| 6 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 6 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Seychelles | 0 1000 t | 2023 | — | flat |
| 6 | Thailand | 0 1000 t | 2023 | — | flat |
| 6 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 6 | Tonga | 0 1000 t | 2023 | — | flat |
| 6 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 6 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 6 | Uganda | 0 1000 t | 2023 | — | flat |
| 6 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 6 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 6 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 6 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 6 | Samoa | 0 1000 t | 2023 | — | flat |
| 6 | Yemen | 0 1000 t | 2023 | — | volatile |
| 6 | Zambia | 0 1000 t | 2023 | — | volatile |
| 6 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 6 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 6 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 6 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 6 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 6 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 6 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 6 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 6 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 6 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 6 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 6 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 160 | Austria | -1 1000 t | 2023 | — | volatile |
| 160 | Belgium | -1 1000 t | 2023 | down 100.1% | volatile |
| 160 | Bosnia and Herzegovina | -1 1000 t | 2023 | up 50.0% | volatile |
| 160 | China | -1 1000 t | 2023 | up 98.9% | volatile |
| 160 | Eswatini | -1 1000 t | 2023 | — | volatile |
| 160 | Iran (Islamic Republic of) | -1 1000 t | 2023 | — | volatile |
| 160 | China, Taiwan Province of | -1 1000 t | 2023 | up 98.7% | volatile |
| 167 | Bulgaria | -2 1000 t | 2023 | — | volatile |
| 167 | Lao People's Democratic Republic | -2 1000 t | 2023 | — | volatile |
| 169 | Slovakia | -4 1000 t | 2023 | — | volatile |
| 170 | Romania | -7 1000 t | 2023 | up 41.7% | volatile |
| 171 | Myanmar | -10 1000 t | 2023 | — | volatile |
| 171 | Ukraine | -10 1000 t | 2023 | — | volatile |
| 173 | Malaysia | -11 1000 t | 2023 | — | volatile |
| 174 | Algeria | -12 1000 t | 2023 | up 25.0% | volatile |
| 175 | Iraq | -13 1000 t | 2023 | — | volatile |
| 176 | Israel | -20 1000 t | 2023 | up 53.5% | volatile |
| 177 | Cambodia | -43 1000 t | 2023 | down 16.2% | volatile |
| 177 | Lithuania | -43 1000 t | 2023 | down 127.9% | volatile |
| 179 | Afghanistan | -44 1000 t | 2023 | — | volatile |
| 180 | Canada | -67 1000 t | 2023 | down 348.1% | volatile |
| 181 | Türkiye | -105 1000 t | 2023 | down 101.9% | falling |
| 182 | France | -203 1000 t | 2023 | down 185.7% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Africa 13 1000 t
- Small island developing States (SIDS) 4 1000 t
- Oceania 3 1000 t
- Central Asia 1 1000 t
- South America 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- Caribbean 0 1000 t
- South Africa -8 1000 t
- Africa -9 1000 t
About this data
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.