Sunflowerseed Oil — Other uses (non-food) 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
Sunflowerseed Oil — Other uses (non-food) is currently reported for 54 countries. The highest value is 1,749 1000 t in Russian Federation; the lowest is 0 1000 t in Seychelles.
The median across all reporting countries is 17.5 1000 t, and the mean is 127.52 1000 t.
Over the past decade 29 countries rose and 19 fell. The largest increase was in Hungary (up 4,000.0%), and the largest decrease in Colombia (down 100.0%).
Sunflowerseed Oil — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russian Federation | 1,749 1000 t | 2023 | up 911.0% | volatile |
| 2 | China, mainland | 1,312 1000 t | 2023 | up 82.2% | rising |
| 2 | China | 1,312 1000 t | 2023 | up 82.2% | rising |
| 4 | Italy | 350 1000 t | 2023 | up 288.9% | rising |
| 5 | Spain | 304 1000 t | 2023 | up 220.0% | rising |
| 6 | Iraq | 246 1000 t | 2023 | up 136.5% | rising |
| 7 | India | 234 1000 t | 2023 | up 244.1% | rising |
| 8 | Belgium | 196 1000 t | 2023 | up 47.4% | rising |
| 9 | Uzbekistan | 150 1000 t | 2023 | up 500.0% | volatile |
| 10 | France | 135 1000 t | 2023 | up 60.7% | rising |
| 11 | Egypt | 96 1000 t | 2023 | down 44.8% | volatile |
| 12 | Greece | 82 1000 t | 2023 | up 36.7% | flat |
| 13 | Lebanon | 80 1000 t | 2023 | up 100.0% | rising |
| 14 | Nepal | 60 1000 t | 2023 | up 2,900.0% | volatile |
| 15 | United Kingdom of Great Britain and Northern Ireland | 58 1000 t | 2023 | down 51.7% | falling |
| 16 | Portugal | 51 1000 t | 2023 | up 112.5% | rising |
| 17 | Israel | 47 1000 t | 2023 | — | volatile |
| 18 | Canada | 42 1000 t | 2023 | up 133.3% | rising |
| 19 | Hungary | 41 1000 t | 2023 | up 4,000.0% | volatile |
| 20 | Bosnia and Herzegovina | 35 1000 t | 2023 | up 16.7% | rising |
| 21 | Netherlands (Kingdom of the) | 26 1000 t | 2023 | down 89.2% | rising |
| 22 | Chile | 22 1000 t | 2023 | down 33.3% | falling |
| 22 | Slovakia | 22 1000 t | 2023 | up 29.4% | falling |
| 24 | Croatia | 21 1000 t | 2023 | down 30.0% | falling |
| 25 | Czechia | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 25 | Ukraine | 19 1000 t | 2023 | down 36.7% | volatile |
| 27 | Myanmar | 18 1000 t | 2023 | down 76.9% | volatile |
| 28 | Georgia | 17 1000 t | 2023 | down 43.3% | falling |
| 29 | Kyrgyzstan | 15 1000 t | 2023 | down 28.6% | falling |
| 30 | Bulgaria | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 31 | South Africa | 12 1000 t | 2023 | down 64.7% | falling |
| 32 | Albania | 10 1000 t | 2023 | down 23.1% | falling |
| 32 | Lithuania | 10 1000 t | 2023 | up 42.9% | rising |
| 34 | Denmark | 9 1000 t | 2023 | up 125.0% | rising |
| 35 | Serbia | 8 1000 t | 2023 | up 33.3% | rising |
| 35 | North Macedonia | 8 1000 t | 2023 | up 33.3% | rising |
| 37 | Montenegro | 7 1000 t | 2023 | up 16.7% | rising |
| 37 | Kuwait | 7 1000 t | 2023 | up 133.3% | rising |
| 39 | Slovenia | 6 1000 t | 2023 | up 20.0% | rising |
| 39 | New Zealand | 6 1000 t | 2023 | down 14.3% | rising |
| 39 | Australia and New Zealand | 6 1000 t | 2023 | down 14.3% | rising |
| 42 | Armenia | 5 1000 t | 2023 | unchanged | falling |
| 42 | Suriname | 5 1000 t | 2023 | up 400.0% | volatile |
| 44 | Belarus | 3 1000 t | 2023 | down 66.7% | falling |
| 44 | Morocco | 3 1000 t | 2023 | up 200.0% | rising |
| 46 | Argentina | 2 1000 t | 2023 | unchanged | rising |
| 46 | Uruguay | 2 1000 t | 2023 | down 33.3% | volatile |
| 46 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 49 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 49 | Switzerland | 1 1000 t | 2023 | down 66.7% | falling |
| 49 | Azerbaijan | 1 1000 t | 2023 | down 66.7% | volatile |
| 52 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 52 | Seychelles | 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 5,959 1000 t
- Asia 2,441 1000 t
- Europe 3,181 1000 t
- Türkiye 181 1000 t
- Eastern Europe 1,867 1000 t
- Least Developed Countries (LDCs) 78 1000 t
- Eastern Asia 1,312 1000 t
- Iran (Islamic Republic of) 65 1000 t
- European Union (27) 1,285 1000 t
- Small island developing States (SIDS) 5 1000 t
- Southern Europe 881 1000 t
- Western Asia 585 1000 t
- Southern Asia 359 1000 t
- Western Europe 357 1000 t
- Land Locked Developing Countries (LLDCs) 239 1000 t
- Low Income Food Deficit Countries (LIFDCs) 226 1000 t
- Americas 217 1000 t
- Northern America 186 1000 t
- Net Food Importing Developing Countries (NFIDCs) 180 1000 t
- Central Asia 166 1000 t
- United States of America 143 1000 t
- Africa 113 1000 t
- Northern Africa 101 1000 t
- Northern Europe 77 1000 t
- South America 31 1000 t
- South-Eastern Asia 18 1000 t
- Southern Africa 12 1000 t
- Oceania 7 1000 t
- Eastern Africa 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.