Sunflower seed — Import quantity 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
Sunflower seed — Import quantity is currently reported for 120 countries. The highest value is 746 1000 t in Turkey; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 6 1000 t, and the mean is 63.38 1000 t.
Over the past decade 60 countries rose and 24 fell. The largest increase was in China, mainland (up 13,900.0%), and the largest decrease in Belarus (down 100.0%).
Sunflower seed — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Turkey | 746 1000 t | 2023 | up 4.9% | rising |
| 1 | Türkiye | 746 1000 t | 2023 | up 4.9% | rising |
| 3 | Bulgaria | 658 1000 t | 2023 | up 2,430.8% | volatile |
| 4 | Netherlands (Kingdom of the) | 654 1000 t | 2023 | up 2.8% | rising |
| 5 | Spain | 452 1000 t | 2023 | up 41.2% | rising |
| 6 | France | 342 1000 t | 2023 | down 19.5% | falling |
| 7 | Hungary | 332 1000 t | 2023 | up 48.2% | volatile |
| 8 | Romania | 313 1000 t | 2023 | up 236.6% | volatile |
| 9 | Germany | 290 1000 t | 2023 | down 42.2% | falling |
| 10 | China | 285 1000 t | 2023 | up 7,025.0% | volatile |
| 11 | China, mainland | 280 1000 t | 2023 | up 13,900.0% | volatile |
| 12 | Kazakhstan | 260 1000 t | 2023 | up 1,344.4% | volatile |
| 13 | Italy | 226 1000 t | 2023 | down 9.2% | falling |
| 14 | Czechia | 201 1000 t | 2023 | up 286.5% | volatile |
| 15 | Portugal | 196 1000 t | 2023 | down 37.2% | flat |
| 16 | Austria | 146 1000 t | 2023 | up 2.8% | rising |
| 17 | Belgium | 126 1000 t | 2023 | down 3.1% | rising |
| 18 | United States | 99 1000 t | 2023 | up 94.1% | rising |
| 19 | Bosnia and Herzegovina | 89 1000 t | 2023 | up 78.0% | rising |
| 20 | Iraq | 79 1000 t | 2023 | up 777.8% | volatile |
| 21 | Uzbekistan | 74 1000 t | 2023 | up 51.0% | volatile |
| 22 | Iran (Islamic Republic of) | 69 1000 t | 2023 | up 430.8% | volatile |
| 23 | Russia | 64 1000 t | 2023 | up 113.3% | rising |
| 23 | Russian Federation | 64 1000 t | 2023 | up 113.3% | rising |
| 25 | United Kingdom | 56 1000 t | 2023 | up 40.0% | rising |
| 25 | United Kingdom of Great Britain and Northern Ireland | 56 1000 t | 2023 | up 40.0% | rising |
| 27 | Poland | 55 1000 t | 2023 | up 7.8% | rising |
| 28 | Pakistan | 46 1000 t | 2023 | down 34.3% | volatile |
| 29 | Denmark | 32 1000 t | 2023 | up 68.4% | flat |
| 29 | Greece | 32 1000 t | 2023 | up 10.3% | rising |
| 29 | Mexico | 32 1000 t | 2023 | up 113.3% | rising |
| 32 | Ukraine | 30 1000 t | 2023 | up 50.0% | rising |
| 33 | Canada | 29 1000 t | 2023 | up 26.1% | rising |
| 34 | Sweden | 24 1000 t | 2023 | up 20.0% | rising |
| 34 | Vietnam | 24 1000 t | 2023 | up 2,300.0% | volatile |
| 34 | Viet Nam | 24 1000 t | 2023 | up 2,300.0% | volatile |
| 37 | United Arab Emirates | 18 1000 t | 2023 | down 57.1% | volatile |
| 38 | Moldova | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 38 | Thailand | 15 1000 t | 2023 | up 200.0% | rising |
| 38 | Republic of Moldova | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 41 | Israel | 14 1000 t | 2023 | up 366.7% | volatile |
| 41 | Morocco | 14 1000 t | 2023 | down 60.0% | volatile |
| 41 | Saudi Arabia | 14 1000 t | 2023 | up 250.0% | volatile |
| 44 | Finland | 13 1000 t | 2023 | down 13.3% | flat |
| 44 | Norway | 13 1000 t | 2023 | up 18.2% | rising |
| 46 | Algeria | 12 1000 t | 2023 | up 300.0% | volatile |
| 46 | Syria | 12 1000 t | 2023 | up 9.1% | falling |
| 46 | South Africa | 12 1000 t | 2023 | down 64.7% | volatile |
| 46 | Syrian Arab Republic | 12 1000 t | 2023 | up 9.1% | falling |
| 50 | Brazil | 10 1000 t | 2023 | up 42.9% | rising |
| 50 | Indonesia | 10 1000 t | 2023 | up 42.9% | rising |
| 52 | Croatia | 9 1000 t | 2023 | up 800.0% | volatile |
| 53 | Libya | 8 1000 t | 2023 | up 700.0% | volatile |
| 53 | Lithuania | 8 1000 t | 2023 | up 33.3% | rising |
| 55 | Chile | 7 1000 t | 2023 | up 600.0% | volatile |
| 55 | Egypt | 7 1000 t | 2023 | down 88.9% | falling |
| 55 | Georgia | 7 1000 t | 2023 | up 250.0% | volatile |
| 55 | Jordan | 7 1000 t | 2023 | up 133.3% | rising |
| 55 | Lebanon | 7 1000 t | 2023 | up 133.3% | volatile |
| 60 | Estonia | 6 1000 t | 2023 | up 200.0% | volatile |
| 60 | Slovakia | 6 1000 t | 2023 | down 33.3% | volatile |
| 60 | Slovenia | 6 1000 t | 2023 | down 57.1% | volatile |
| 60 | Tajikistan | 6 1000 t | 2023 | — | volatile |
| 60 | Tunisia | 6 1000 t | 2023 | unchanged | volatile |
| 60 | Australia and New Zealand | 6 1000 t | 2023 | up 20.0% | rising |
| 66 | Armenia | 5 1000 t | 2023 | up 150.0% | rising |
| 66 | Azerbaijan | 5 1000 t | 2023 | down 68.8% | falling |
| 66 | China, Taiwan Province of | 5 1000 t | 2023 | up 66.7% | rising |
| 69 | Afghanistan | 4 1000 t | 2023 | up 100.0% | rising |
| 69 | Australia | 4 1000 t | 2023 | up 33.3% | volatile |
| 69 | Switzerland | 4 1000 t | 2023 | down 20.0% | falling |
| 69 | India | 4 1000 t | 2023 | up 300.0% | volatile |
| 69 | Philippines | 4 1000 t | 2023 | up 100.0% | volatile |
| 69 | Serbia | 4 1000 t | 2023 | down 60.0% | volatile |
| 75 | Latvia | 3 1000 t | 2023 | down 25.0% | flat |
| 75 | North Macedonia | 3 1000 t | 2023 | up 50.0% | volatile |
| 75 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 200.0% | rising |
| 75 | Republic of Korea | 3 1000 t | 2023 | unchanged | rising |
| 79 | Ecuador | 2 1000 t | 2023 | up 100.0% | volatile |
| 79 | Kyrgyzstan | 2 1000 t | 2023 | unchanged | volatile |
| 79 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 79 | Malaysia | 2 1000 t | 2023 | unchanged | volatile |
| 79 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 79 | Turkmenistan | 2 1000 t | 2023 | — | volatile |
| 85 | Argentina | 1 1000 t | 2023 | down 88.9% | volatile |
| 85 | Bahrain | 1 1000 t | 2023 | — | flat |
| 85 | Colombia | 1 1000 t | 2023 | down 50.0% | rising |
| 85 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 85 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 85 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 85 | Honduras | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Ireland | 1 1000 t | 2023 | — | volatile |
| 85 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 85 | Oman | 1 1000 t | 2023 | down 50.0% | volatile |
| 85 | Panama | 1 1000 t | 2023 | — | volatile |
| 85 | Qatar | 1 1000 t | 2023 | — | flat |
| 85 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 85 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 85 | Yemen | 1 1000 t | 2023 | — | volatile |
| 85 | Caribbean | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 50.0% | volatile |
| 102 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 102 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Botswana | 0 1000 t | 2023 | — | volatile |
| 102 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 102 | Kenya | 0 1000 t | 2023 | — | volatile |
| 102 | Laos | 0 1000 t | 2023 | — | volatile |
| 102 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 102 | Malawi | 0 1000 t | 2023 | — | volatile |
| 102 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 102 | Nepal | 0 1000 t | 2023 | — | volatile |
| 102 | Peru | 0 1000 t | 2023 | — | volatile |
| 102 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Senegal | 0 1000 t | 2023 | — | volatile |
| 102 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 102 | Zambia | 0 1000 t | 2023 | — | volatile |
| 102 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 102 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 102 | United Republic of Tanzania | 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 6,404 1000 t
- Europe 4,410 1000 t
- European Union (27) 4,132 1000 t
- Asia 1,735 1000 t
- Eastern Europe 1,674 1000 t
- Western Europe 1,563 1000 t
- Southern Europe 1,017 1000 t
- Western Asia 922 1000 t
- Land Locked Developing Countries (LLDCs) 381 1000 t
- Central Asia 344 1000 t
- Eastern Asia 290 1000 t
- Americas 190 1000 t
- Northern Europe 157 1000 t
- Northern America 128 1000 t
- Southern Asia 124 1000 t
- Low Income Food Deficit Countries (LIFDCs) 101 1000 t
- United States of America 99 1000 t
- Net Food Importing Developing Countries (NFIDCs) 91 1000 t
- Africa 62 1000 t
- South-Eastern Asia 55 1000 t
- Northern Africa 47 1000 t
- Central America 35 1000 t
- South America 25 1000 t
- Southern Africa 13 1000 t
- Least Developed Countries (LDCs) 7 1000 t
- Oceania 6 1000 t
- Small island developing States (SIDS) 2 1000 t
- Eastern Africa 2 1000 t
- Western 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.