Sugar non-centrifugal — Stock Variation 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 non-centrifugal — Stock Variation is currently reported for 30 countries. The highest value is 1,300 1000 t in India; the lowest is 0 1000 t in Nicaragua.
The median across all reporting countries is 0 1000 t, and the mean is 43.6 1000 t.
Over the past decade 5 countries rose and 10 fell. The largest increase was in India (up 6,009.1%), and the largest decrease in Peru (down 100.0%).
Sugar non-centrifugal — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,300 1000 t | 2023 | up 6,009.1% | volatile |
| 2 | China | 3 1000 t | 2023 | down 90.0% | volatile |
| 2 | China, mainland | 3 1000 t | 2023 | down 90.0% | volatile |
| 4 | Philippines | 2 1000 t | 2023 | down 90.9% | volatile |
| 5 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 5 | Lao People's Democratic Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 5 | Uganda | 0 1000 t | 2023 | — | flat |
| 5 | El Salvador | 0 1000 t | 2023 | — | flat |
| 5 | Bangladesh | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Panama | 0 1000 t | 2023 | — | flat |
| 5 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Nepal | 0 1000 t | 2023 | — | flat |
| 5 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Guatemala | 0 1000 t | 2023 | — | flat |
| 5 | Ecuador | 0 1000 t | 2023 | — | flat |
| 5 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Cyprus | 0 1000 t | 2023 | — | flat |
| 5 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 5 | Colombia | 0 1000 t | 2023 | — | volatile |
| 5 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Norway | 0 1000 t | 2023 | — | flat |
| 5 | Indonesia | 0 1000 t | 2023 | — | flat |
| 5 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 5 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Nicaragua | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,305 1000 t
- Asia 1,305 1000 t
- Southern Asia 1,300 1000 t
- Eastern Asia 3 1000 t
- South-Eastern Asia 2 1000 t
- Caribbean 0 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Western Africa 0 1000 t
- Northern Africa 0 1000 t
- Central America 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.