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 90 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 -18.77 1000 t.
Over the past decade 15 countries rose and 13 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 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 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 | Belize | 0 1000 t | 2023 | — | volatile |
| 4 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Barbados | 0 1000 t | 2023 | — | volatile |
| 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 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 4 | Czechia | 0 1000 t | 2023 | — | volatile |
| 4 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Denmark | 0 1000 t | 2023 | — | volatile |
| 4 | Algeria | 0 1000 t | 2023 | — | volatile |
| 4 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | France | 0 1000 t | 2023 | — | volatile |
| 4 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Ghana | 0 1000 t | 2023 | — | volatile |
| 4 | Guinea | 0 1000 t | 2023 | — | volatile |
| 4 | Greece | 0 1000 t | 2023 | — | volatile |
| 4 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Croatia | 0 1000 t | 2023 | — | volatile |
| 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 | Italy | 0 1000 t | 2023 | — | flat |
| 4 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 4 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 4 | Kenya | 0 1000 t | 2023 | — | volatile |
| 4 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 4 | Laos | 0 1000 t | 2023 | — | volatile |
| 4 | Morocco | 0 1000 t | 2023 | — | volatile |
| 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 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 4 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 4 | Nepal | 0 1000 t | 2023 | — | volatile |
| 4 | Panama | 0 1000 t | 2023 | — | volatile |
| 4 | Philippines | 0 1000 t | 2023 | — | volatile |
| 4 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Russia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 4 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 4 | Syria | 0 1000 t | 2023 | — | volatile |
| 4 | Thailand | 0 1000 t | 2023 | — | volatile |
| 4 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 4 | Turkey | 0 1000 t | 2023 | — | volatile |
| 4 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 4 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 4 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | South Africa | 0 1000 t | 2023 | — | volatile |
| 4 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 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 | 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 | 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 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 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 |
| 176 | Libya | -1 1000 t | 2023 | — | volatile |
| 177 | Cyprus | -2 1000 t | 2023 | — | volatile |
| 178 | Eswatini | -3 1000 t | 2023 | — | volatile |
| 179 | Lebanon | -4 1000 t | 2023 | — | volatile |
| 180 | Sierra Leone | -40 1000 t | 2023 | — | volatile |
| 181 | Latvia | -94 1000 t | 2023 | — | volatile |
| 182 | Colombia | -511 1000 t | 2023 | — | volatile |
| 183 | Pakistan | -1,144 1000 t | 2023 | up 21.9% | volatile |
| 184 | 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
- 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
- Western Europe 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- South-Eastern Asia 0 1000 t
- United States of America 0 1000 t
- Northern Africa -1 1000 t
- Southern Africa -3 1000 t
- Western Asia -6 1000 t
- Western Africa -40 1000 t
- Asia -77 1000 t
- Europe -94 1000 t
- Northern Europe -94 1000 t
- European Union (27) -96 1000 t
- South America -494 1000 t
- Americas -494 1000 t
- World -552 1000 t
- Southern Asia -1,144 1000 t
- Least Developed Countries (LDCs) -2,186 1000 t
- Net Food Importing Developing Countries (NFIDCs) -3,316 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.