Sweeteners, Other — 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
Sweeteners, Other — Residuals is currently reported for 92 countries. The highest value is 0 1000 t in Angola; the lowest is -203 1000 t in France.
The median across all reporting countries is 0 1000 t, and the mean is -8.38 1000 t.
Over the past decade 15 countries rose and 32 fell. The largest increase was in Jordan (up 100.0%), and the largest decrease in Lithuania (down 1,533.3%).
Sweeteners, Other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 1 | Australia | 0 1000 t | 2023 | — | volatile |
| 1 | Austria | 0 1000 t | 2023 | — | volatile |
| 1 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 1 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 1 | Brazil | 0 1000 t | 2023 | — | volatile |
| 1 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 1 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 1 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 1 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 1 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 1 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 1 | Egypt | 0 1000 t | 2023 | — | volatile |
| 1 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Finland | 0 1000 t | 2023 | — | volatile |
| 1 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Guyana | 0 1000 t | 2023 | — | volatile |
| 1 | Honduras | 0 1000 t | 2023 | — | volatile |
| 1 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | India | 0 1000 t | 2023 | — | volatile |
| 1 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Kazakhstan | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 1 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 1 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 1 | Morocco | 0 1000 t | 2023 | — | volatile |
| 1 | North Macedonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 1 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 1 | Panama | 0 1000 t | 2023 | — | volatile |
| 1 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 1 | Serbia | 0 1000 t | 2023 | — | volatile |
| 1 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | Yemen | 0 1000 t | 2023 | — | volatile |
| 1 | Zambia | 0 1000 t | 2023 | — | volatile |
| 1 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 1 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 1 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 170 | Belgium | -1 1000 t | 2023 | down 106.7% | volatile |
| 170 | Bosnia and Herzegovina | -1 1000 t | 2023 | up 50.0% | volatile |
| 170 | China | -1 1000 t | 2023 | up 98.9% | volatile |
| 170 | Eswatini | -1 1000 t | 2023 | — | volatile |
| 170 | Iran (Islamic Republic of) | -1 1000 t | 2023 | — | volatile |
| 170 | China, Taiwan Province of | -1 1000 t | 2023 | up 98.7% | volatile |
| 176 | Bulgaria | -2 1000 t | 2023 | — | volatile |
| 176 | Laos | -2 1000 t | 2023 | — | volatile |
| 176 | Lao People's Democratic Republic | -2 1000 t | 2023 | — | volatile |
| 179 | Slovakia | -4 1000 t | 2023 | — | volatile |
| 180 | Romania | -7 1000 t | 2023 | up 41.7% | volatile |
| 181 | South Africa | -8 1000 t | 2023 | — | volatile |
| 182 | Myanmar | -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% | rising |
| 187 | Cambodia | -41 1000 t | 2023 | down 10.8% | volatile |
| 188 | Lithuania | -43 1000 t | 2023 | down 1,533.3% | volatile |
| 189 | Afghanistan | -44 1000 t | 2023 | — | volatile |
| 190 | United States | -66 1000 t | 2023 | up 12.0% | 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.
- Oceania 0 1000 t
- South America 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Eastern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- Southern Africa -9 1000 t
- Eastern Europe -13 1000 t
- Northern Africa -13 1000 t
- Africa -22 1000 t
- Eastern Asia -38 1000 t
- Northern Europe -43 1000 t
- Low Income Food Deficit Countries (LIFDCs) -44 1000 t
- Southern Asia -45 1000 t
- Land Locked Developing Countries (LLDCs) -47 1000 t
- South-Eastern Asia -64 1000 t
- United States of America -66 1000 t
- Least Developed Countries (LDCs) -97 1000 t
- Net Food Importing Developing Countries (NFIDCs) -98 1000 t
- Americas -132 1000 t
- Northern America -132 1000 t
- Western Asia -139 1000 t
- Western Europe -204 1000 t
- European Union (27) -261 1000 t
- Europe -261 1000 t
- Asia -286 1000 t
- World -701 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.