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 123 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 -6.01 1000 t.
Over the past decade 20 countries rose and 41 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 | 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 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 6 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 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 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 6 | Colombia | 0 1000 t | 2023 | — | volatile |
| 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 | 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 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 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 | 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 | 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 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 6 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 6 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Morocco | 0 1000 t | 2023 | — | volatile |
| 6 | North Macedonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Mongolia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 6 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 6 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 6 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Panama | 0 1000 t | 2023 | — | volatile |
| 6 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 6 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Saudi Arabia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 6 | Serbia | 0 1000 t | 2023 | — | volatile |
| 6 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 6 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | East Timor | 0 1000 t | 2023 | — | volatile |
| 6 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 6 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 6 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 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 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 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 | 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 | 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 |
| 168 | Austria | -1 1000 t | 2023 | — | volatile |
| 168 | Belgium | -1 1000 t | 2023 | down 100.1% | volatile |
| 168 | Bosnia and Herzegovina | -1 1000 t | 2023 | up 50.0% | volatile |
| 168 | China | -1 1000 t | 2023 | up 98.9% | volatile |
| 168 | Eswatini | -1 1000 t | 2023 | — | volatile |
| 168 | Iran (Islamic Republic of) | -1 1000 t | 2023 | — | volatile |
| 168 | China, Taiwan Province of | -1 1000 t | 2023 | up 98.7% | volatile |
| 175 | Bulgaria | -2 1000 t | 2023 | — | volatile |
| 175 | Laos | -2 1000 t | 2023 | — | volatile |
| 175 | Lao People's Democratic Republic | -2 1000 t | 2023 | — | volatile |
| 178 | Slovakia | -4 1000 t | 2023 | — | volatile |
| 179 | Romania | -7 1000 t | 2023 | up 41.7% | volatile |
| 180 | South Africa | -8 1000 t | 2023 | — | volatile |
| 181 | Myanmar | -10 1000 t | 2023 | — | volatile |
| 181 | Ukraine | -10 1000 t | 2023 | — | volatile |
| 183 | Malaysia | -11 1000 t | 2023 | — | volatile |
| 184 | Algeria | -12 1000 t | 2023 | up 25.0% | volatile |
| 185 | Iraq | -13 1000 t | 2023 | — | volatile |
| 186 | Israel | -20 1000 t | 2023 | up 53.5% | volatile |
| 187 | Cambodia | -43 1000 t | 2023 | down 16.2% | volatile |
| 187 | Lithuania | -43 1000 t | 2023 | down 127.9% | volatile |
| 189 | Afghanistan | -44 1000 t | 2023 | — | volatile |
| 190 | United States | -66 1000 t | 2023 | down 100.8% | volatile |
| 191 | Canada | -67 1000 t | 2023 | down 348.1% | volatile |
| 192 | Turkey | -105 1000 t | 2023 | down 101.9% | falling |
| 192 | Türkiye | -105 1000 t | 2023 | down 101.9% | falling |
| 194 | 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
- Africa -9 1000 t
- Southern Africa -9 1000 t
- Northern Africa -13 1000 t
- Land Locked Developing Countries (LLDCs) -21 1000 t
- Eastern Europe -23 1000 t
- Northern Europe -43 1000 t
- Low Income Food Deficit Countries (LIFDCs) -43 1000 t
- Southern Asia -45 1000 t
- South-Eastern Asia -66 1000 t
- United States of America -66 1000 t
- Least Developed Countries (LDCs) -83 1000 t
- Net Food Importing Developing Countries (NFIDCs) -84 1000 t
- Western Asia -114 1000 t
- Americas -132 1000 t
- Northern America -132 1000 t
- Western Europe -205 1000 t
- European Union (27) -262 1000 t
- Europe -272 1000 t
- Eastern Asia -472 1000 t
- Asia -696 1000 t
- World -1,106 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.