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...
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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 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.
- Eastern Asia 1,073 1000 t
- Land Locked Developing Countries (LLDCs) 154 1000 t
- Low Income Food Deficit Countries (LIFDCs) 117 1000 t
- Africa 113 1000 t
- Eastern Africa 93 1000 t
- Middle Africa 65 1000 t
- South Africa 0 1000 t
- Oceania 0 1000 t
- Northern America 0 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Eastern Europe 0 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.