Sugar & Sweeteners — Losses 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 — Losses is currently reported for 133 countries. The highest value is 25 1000 t in Myanmar; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is 1.28 1000 t.
Over the past decade 6 countries rose and 17 fell. The largest increase was in Republic of Korea (up 100.0%), and the largest decrease in Colombia (down 100.0%).
Sugar & Sweeteners — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Myanmar | 25 1000 t | 2023 | up 8.7% | rising |
| 2 | China | 24 1000 t | 2023 | unchanged | flat |
| 3 | China, mainland | 23 1000 t | 2023 | unchanged | rising |
| 4 | Bangladesh | 12 1000 t | 2023 | down 25.0% | falling |
| 5 | Indonesia | 11 1000 t | 2023 | down 8.3% | flat |
| 6 | Ethiopia | 5 1000 t | 2023 | up 66.7% | rising |
| 6 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | down 61.5% | falling |
| 6 | Türkiye | 5 1000 t | 2023 | up 25.0% | rising |
| 9 | Argentina | 4 1000 t | 2023 | unchanged | rising |
| 9 | Hungary | 4 1000 t | 2023 | down 20.0% | falling |
| 9 | India | 4 1000 t | 2023 | up 33.3% | rising |
| 12 | Brazil | 3 1000 t | 2023 | up 50.0% | rising |
| 12 | Mexico | 3 1000 t | 2023 | unchanged | flat |
| 12 | Sierra Leone | 3 1000 t | 2023 | — | volatile |
| 12 | Ukraine | 3 1000 t | 2023 | down 25.0% | falling |
| 12 | Russian Federation | 3 1000 t | 2023 | down 25.0% | falling |
| 17 | Canada | 2 1000 t | 2023 | down 50.0% | falling |
| 17 | Spain | 2 1000 t | 2023 | unchanged | flat |
| 17 | Romania | 2 1000 t | 2023 | down 81.8% | volatile |
| 17 | Republic of Korea | 2 1000 t | 2023 | up 100.0% | rising |
| 17 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | flat |
| 22 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 22 | Australia | 1 1000 t | 2023 | unchanged | flat |
| 22 | Bulgaria | 1 1000 t | 2023 | unchanged | rising |
| 22 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 22 | Cuba | 1 1000 t | 2019 | — | volatile |
| 22 | Germany | 1 1000 t | 2023 | unchanged | flat |
| 22 | France | 1 1000 t | 2023 | unchanged | flat |
| 22 | Greece | 1 1000 t | 2023 | unchanged | flat |
| 22 | Croatia | 1 1000 t | 2023 | — | volatile |
| 22 | Italy | 1 1000 t | 2023 | — | volatile |
| 22 | Kenya | 1 1000 t | 2023 | — | volatile |
| 22 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 22 | Panama | 1 1000 t | 2023 | down 50.0% | falling |
| 22 | Poland | 1 1000 t | 2023 | unchanged | flat |
| 22 | Portugal | 1 1000 t | 2023 | unchanged | volatile |
| 22 | Thailand | 1 1000 t | 2023 | — | volatile |
| 22 | Uruguay | 1 1000 t | 2023 | unchanged | falling |
| 22 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 22 | Caribbean | 1 1000 t | 2023 | down 94.1% | volatile |
| 22 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 75.0% | volatile |
| 22 | Viet Nam | 1 1000 t | 2023 | unchanged | flat |
| 22 | Australia and New Zealand | 1 1000 t | 2023 | down 50.0% | rising |
| 22 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 45 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 45 | Albania | 0 1000 t | 2023 | — | flat |
| 45 | Armenia | 0 1000 t | 2023 | — | flat |
| 45 | Austria | 0 1000 t | 2023 | — | flat |
| 45 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 45 | Belgium | 0 1000 t | 2018 | — | flat |
| 45 | Bahrain | 0 1000 t | 2023 | — | flat |
| 45 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 45 | Belarus | 0 1000 t | 2023 | — | flat |
| 45 | Belize | 0 1000 t | 2023 | — | flat |
| 45 | Bhutan | 0 1000 t | 2023 | — | flat |
| 45 | Switzerland | 0 1000 t | 2023 | — | flat |
| 45 | Cameroon | 0 1000 t | 2023 | — | flat |
| 45 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 45 | Cyprus | 0 1000 t | 2023 | — | flat |
| 45 | Czechia | 0 1000 t | 2023 | — | volatile |
| 45 | Denmark | 0 1000 t | 2023 | — | flat |
| 45 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Algeria | 0 1000 t | 2023 | — | flat |
| 45 | Ecuador | 0 1000 t | 2023 | — | flat |
| 45 | Egypt | 0 1000 t | 2023 | — | flat |
| 45 | Estonia | 0 1000 t | 2023 | — | flat |
| 45 | Finland | 0 1000 t | 2023 | — | flat |
| 45 | Fiji | 0 1000 t | 2023 | — | flat |
| 45 | Georgia | 0 1000 t | 2023 | — | flat |
| 45 | Guinea | 0 1000 t | 2023 | — | flat |
| 45 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 45 | Guatemala | 0 1000 t | 2023 | — | flat |
| 45 | Guyana | 0 1000 t | 2023 | — | flat |
| 45 | Honduras | 0 1000 t | 2023 | — | flat |
| 45 | Haiti | 0 1000 t | 2023 | — | flat |
| 45 | Ireland | 0 1000 t | 2023 | — | flat |
| 45 | Iraq | 0 1000 t | 2023 | — | flat |
| 45 | Israel | 0 1000 t | 2023 | — | volatile |
| 45 | Jamaica | 0 1000 t | 2023 | — | flat |
| 45 | Jordan | 0 1000 t | 2023 | — | flat |
| 45 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 45 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 45 | Lebanon | 0 1000 t | 2023 | — | flat |
| 45 | Libya | 0 1000 t | 2023 | — | flat |
| 45 | Lithuania | 0 1000 t | 2023 | — | flat |
| 45 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 45 | Latvia | 0 1000 t | 2023 | — | flat |
| 45 | Morocco | 0 1000 t | 2023 | — | flat |
| 45 | Madagascar | 0 1000 t | 2023 | — | flat |
| 45 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 45 | Montenegro | 0 1000 t | 2023 | — | flat |
| 45 | Mongolia | 0 1000 t | 2023 | — | flat |
| 45 | Mozambique | 0 1000 t | 2023 | — | flat |
| 45 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 45 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 45 | Norway | 0 1000 t | 2023 | — | flat |
| 45 | Nepal | 0 1000 t | 2023 | — | flat |
| 45 | Oman | 0 1000 t | 2023 | — | flat |
| 45 | Pakistan | 0 1000 t | 2023 | — | flat |
| 45 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 45 | Paraguay | 0 1000 t | 2023 | — | flat |
| 45 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 45 | Qatar | 0 1000 t | 2023 | — | flat |
| 45 | Rwanda | 0 1000 t | 2023 | — | flat |
| 45 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 45 | Senegal | 0 1000 t | 2023 | — | flat |
| 45 | El Salvador | 0 1000 t | 2023 | — | flat |
| 45 | Serbia | 0 1000 t | 2023 | — | volatile |
| 45 | Suriname | 0 1000 t | 2023 | — | flat |
| 45 | Slovakia | 0 1000 t | 2023 | — | flat |
| 45 | Slovenia | 0 1000 t | 2023 | — | flat |
| 45 | Sweden | 0 1000 t | 2023 | — | flat |
| 45 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 45 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 45 | Tonga | 0 1000 t | 2023 | — | flat |
| 45 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 45 | Tunisia | 0 1000 t | 2023 | — | flat |
| 45 | Uganda | 0 1000 t | 2019 | — | flat |
| 45 | Samoa | 0 1000 t | 2023 | — | flat |
| 45 | Yemen | 0 1000 t | 2023 | — | flat |
| 45 | Zambia | 0 1000 t | 2023 | — | flat |
| 45 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 45 | Melanesia | 0 1000 t | 2023 | — | flat |
| 45 | Polynesia | 0 1000 t | 2023 | — | flat |
| 45 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 45 | China, Hong Kong SAR | 0 1000 t | 2018 | down 100.0% | volatile |
| 45 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 45 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 45 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 45 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Netherlands (Kingdom of the) | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 152 1000 t
- Asia 88 1000 t
- Net Food Importing Developing Countries (NFIDCs) 58 1000 t
- Least Developed Countries (LDCs) 50 1000 t
- South-eastern Asia 38 1000 t
- Europe 25 1000 t
- Eastern Asia 25 1000 t
- Americas 23 1000 t
- Southern Asia 17 1000 t
- European Union (27) 16 1000 t
- Africa 15 1000 t
- Eastern Europe 15 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.