Sunflower seed — Domestic supply 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 — Domestic supply quantity is currently reported for 123 countries. The highest value is 17,544 1000 t in Russia; the lowest is -1 1000 t in Luxembourg.
The median across all reporting countries is 17 1000 t, and the mean is 667.43 1000 t.
The gap between the highest and lowest reporting country is a factor of about 17,544.
Over the past decade 63 countries rose and 31 fell. The largest increase was in Vietnam (up 2,300.0%), and the largest decrease in Botswana (down 100.0%).
Sunflower seed — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russia | 17,544 1000 t | 2023 | up 90.6% | rising |
| 1 | Russian Federation | 17,544 1000 t | 2023 | up 90.6% | rising |
| 3 | Ukraine | 12,362 1000 t | 2023 | up 13.8% | rising |
| 4 | Argentina | 4,889 1000 t | 2023 | up 83.9% | rising |
| 5 | China | 2,821 1000 t | 2023 | down 0.6% | falling |
| 6 | China, mainland | 2,818 1000 t | 2023 | down 0.6% | falling |
| 7 | Turkey | 2,464 1000 t | 2023 | up 20.7% | rising |
| 7 | Türkiye | 2,464 1000 t | 2023 | up 20.7% | rising |
| 9 | Bulgaria | 1,965 1000 t | 2023 | up 187.3% | rising |
| 10 | Hungary | 1,884 1000 t | 2023 | up 74.9% | rising |
| 11 | France | 1,690 1000 t | 2023 | up 7.0% | flat |
| 12 | Romania | 1,436 1000 t | 2023 | up 64.5% | rising |
| 13 | United Republic of Tanzania | 1,223 1000 t | 2023 | up 105.2% | rising |
| 14 | Spain | 1,208 1000 t | 2023 | down 1.6% | flat |
| 15 | Kazakhstan | 1,128 1000 t | 2023 | up 151.8% | rising |
| 16 | United States | 971 1000 t | 2023 | down 3.8% | rising |
| 17 | South Africa | 736 1000 t | 2023 | up 24.7% | rising |
| 18 | Moldova | 598 1000 t | 2023 | up 280.9% | rising |
| 18 | Republic of Moldova | 598 1000 t | 2023 | up 280.9% | rising |
| 20 | Serbia | 589 1000 t | 2023 | up 20.9% | rising |
| 21 | Netherlands (Kingdom of the) | 526 1000 t | 2023 | down 3.7% | flat |
| 22 | Italy | 519 1000 t | 2023 | up 31.7% | rising |
| 23 | Germany | 409 1000 t | 2023 | down 2.4% | rising |
| 24 | Uganda | 297 1000 t | 2023 | up 24.8% | rising |
| 25 | India | 269 1000 t | 2023 | down 51.4% | falling |
| 26 | Greece | 260 1000 t | 2023 | up 47.7% | rising |
| 27 | Czechia | 220 1000 t | 2023 | up 182.1% | rising |
| 28 | Portugal | 210 1000 t | 2023 | down 21.6% | rising |
| 29 | Bolivia (Plurinational State of) | 185 1000 t | 2023 | up 25.0% | falling |
| 30 | Austria | 167 1000 t | 2023 | up 18.4% | rising |
| 31 | Pakistan | 135 1000 t | 2023 | down 78.7% | volatile |
| 32 | Myanmar | 130 1000 t | 2023 | down 71.2% | volatile |
| 32 | Iran (Islamic Republic of) | 130 1000 t | 2023 | up 64.6% | rising |
| 34 | Belgium | 125 1000 t | 2023 | up 16.8% | rising |
| 35 | Brazil | 99 1000 t | 2023 | down 25.6% | falling |
| 36 | Zambia | 91 1000 t | 2023 | up 97.8% | rising |
| 37 | Croatia | 89 1000 t | 2023 | up 134.2% | rising |
| 38 | Uzbekistan | 87 1000 t | 2023 | up 24.3% | volatile |
| 39 | Canada | 83 1000 t | 2023 | up 40.7% | rising |
| 39 | Poland | 83 1000 t | 2023 | up 69.4% | rising |
| 41 | Iraq | 79 1000 t | 2023 | up 229.2% | volatile |
| 42 | Bosnia and Herzegovina | 73 1000 t | 2023 | up 49.0% | rising |
| 43 | United Kingdom | 55 1000 t | 2023 | up 48.6% | rising |
| 43 | United Kingdom of Great Britain and Northern Ireland | 55 1000 t | 2023 | up 48.6% | rising |
| 45 | Thailand | 41 1000 t | 2023 | up 36.7% | rising |
| 45 | Australia and New Zealand | 41 1000 t | 2023 | down 18.0% | falling |
| 47 | Morocco | 40 1000 t | 2023 | down 25.9% | falling |
| 48 | Australia | 39 1000 t | 2023 | down 20.4% | falling |
| 49 | Paraguay | 38 1000 t | 2023 | down 66.4% | volatile |
| 50 | Mexico | 36 1000 t | 2023 | up 111.8% | rising |
| 51 | Azerbaijan | 33 1000 t | 2023 | down 51.5% | falling |
| 52 | Denmark | 27 1000 t | 2023 | up 145.5% | rising |
| 53 | Syria | 26 1000 t | 2023 | up 23.8% | volatile |
| 53 | Syrian Arab Republic | 26 1000 t | 2023 | up 23.8% | volatile |
| 55 | Egypt | 24 1000 t | 2023 | down 67.6% | falling |
| 55 | Vietnam | 24 1000 t | 2023 | up 2,300.0% | volatile |
| 55 | Viet Nam | 24 1000 t | 2023 | up 2,300.0% | volatile |
| 58 | Switzerland | 22 1000 t | 2023 | up 57.1% | rising |
| 59 | Sweden | 21 1000 t | 2023 | up 23.5% | rising |
| 60 | Tajikistan | 20 1000 t | 2023 | up 122.2% | rising |
| 61 | Malawi | 17 1000 t | 2023 | up 54.5% | rising |
| 61 | Uruguay | 17 1000 t | 2023 | up 240.0% | volatile |
| 63 | Israel | 16 1000 t | 2023 | up 45.5% | rising |
| 63 | Zimbabwe | 16 1000 t | 2023 | up 14.3% | rising |
| 65 | Saudi Arabia | 14 1000 t | 2023 | up 250.0% | volatile |
| 66 | Norway | 13 1000 t | 2023 | up 18.2% | rising |
| 67 | Angola | 12 1000 t | 2023 | unchanged | flat |
| 67 | Tunisia | 12 1000 t | 2023 | down 14.3% | falling |
| 69 | Finland | 11 1000 t | 2023 | down 31.2% | falling |
| 70 | Algeria | 10 1000 t | 2023 | up 233.3% | volatile |
| 70 | Indonesia | 10 1000 t | 2023 | up 42.9% | rising |
| 70 | Slovakia | 10 1000 t | 2023 | down 78.7% | volatile |
| 70 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | down 84.1% | volatile |
| 74 | Georgia | 9 1000 t | 2023 | down 70.0% | volatile |
| 74 | North Macedonia | 9 1000 t | 2023 | up 80.0% | rising |
| 74 | Mozambique | 9 1000 t | 2023 | up 28.6% | falling |
| 77 | Libya | 8 1000 t | 2023 | up 700.0% | volatile |
| 78 | Chile | 7 1000 t | 2023 | unchanged | volatile |
| 78 | Kyrgyzstan | 7 1000 t | 2023 | down 82.9% | volatile |
| 80 | United Arab Emirates | 6 1000 t | 2023 | down 71.4% | volatile |
| 80 | Ethiopia | 6 1000 t | 2023 | down 25.0% | falling |
| 80 | Jordan | 6 1000 t | 2023 | up 100.0% | rising |
| 80 | Kenya | 6 1000 t | 2023 | down 60.0% | volatile |
| 84 | Afghanistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 84 | Armenia | 5 1000 t | 2023 | up 66.7% | falling |
| 84 | Lebanon | 5 1000 t | 2023 | up 150.0% | volatile |
| 84 | Lithuania | 5 1000 t | 2023 | unchanged | volatile |
| 88 | China, Taiwan Province of | 4 1000 t | 2023 | up 100.0% | rising |
| 89 | Belarus | 3 1000 t | 2023 | down 82.4% | volatile |
| 89 | Philippines | 3 1000 t | 2023 | up 50.0% | volatile |
| 89 | Slovenia | 3 1000 t | 2023 | up 50.0% | falling |
| 89 | Republic of Korea | 3 1000 t | 2023 | unchanged | falling |
| 93 | Ecuador | 2 1000 t | 2023 | up 100.0% | rising |
| 93 | Estonia | 2 1000 t | 2023 | up 100.0% | rising |
| 93 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 93 | Latvia | 2 1000 t | 2023 | down 33.3% | falling |
| 93 | Malaysia | 2 1000 t | 2023 | unchanged | volatile |
| 93 | New Zealand | 2 1000 t | 2023 | unchanged | rising |
| 93 | Turkmenistan | 2 1000 t | 2023 | — | volatile |
| 100 | Albania | 1 1000 t | 2023 | down 50.0% | falling |
| 100 | Bahrain | 1 1000 t | 2023 | — | flat |
| 100 | Colombia | 1 1000 t | 2023 | down 50.0% | volatile |
| 100 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 100 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 100 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 100 | Honduras | 1 1000 t | 2023 | — | volatile |
| 100 | Ireland | 1 1000 t | 2023 | — | volatile |
| 100 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 100 | Panama | 1 1000 t | 2023 | — | volatile |
| 100 | Qatar | 1 1000 t | 2023 | — | flat |
| 100 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 100 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 100 | Caribbean | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 114 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 114 | Laos | 0 1000 t | 2023 | — | volatile |
| 114 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 114 | Nepal | 0 1000 t | 2023 | — | volatile |
| 114 | Peru | 0 1000 t | 2023 | — | volatile |
| 114 | Senegal | 0 1000 t | 2023 | — | volatile |
| 114 | Yemen | 0 1000 t | 2023 | — | volatile |
| 114 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 183 | Luxembourg | -1 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 58,689 1000 t
- Europe 42,140 1000 t
- Eastern Europe 36,105 1000 t
- European Union (27) 10,872 1000 t
- Asia 7,491 1000 t
- Americas 6,342 1000 t
- South America 5,247 1000 t
- Southern Europe 2,962 1000 t
- Western Europe 2,938 1000 t
- Eastern Asia 2,827 1000 t
- Africa 2,675 1000 t
- Western Asia 2,670 1000 t
- Land Locked Developing Countries (LLDCs) 2,598 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,195 1000 t
- Least Developed Countries (LDCs) 1,959 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,887 1000 t
- Eastern Africa 1,719 1000 t
- Central Asia 1,244 1000 t
- Northern America 1,055 1000 t
- United States of America 971 1000 t
- Southern Africa 736 1000 t
- Southern Asia 539 1000 t
- South-Eastern Asia 211 1000 t
- Northern Africa 207 1000 t
- Northern Europe 136 1000 t
- Oceania 41 1000 t
- Central America 39 1000 t
- Middle Africa 12 1000 t
- Small island developing States (SIDS) 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.