Sunflower seed — Feed 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...

Countries reporting
79
Highest
1,779 1000 t
China
Lowest
0 1000 t
Türkiye
Median
4 1000 t
Years covered
14
2010–2023
Data points
1,996

What the numbers show

Sunflower seed — Feed is currently reported for 79 countries. The highest value is 1,779 1000 t in China; the lowest is 0 1000 t in Türkiye.

The median across all reporting countries is 4 1000 t, and the mean is 78.92 1000 t.

Over the past decade 28 countries rose and 26 fell. The largest increase was in Argentina (up 1,974.2%), and the largest decrease in Brazil (down 100.0%).

Sunflower seed — Feed: full country ranking

#Country LatestYear 10-year changeTrend
1 China 1,779 1000 t 2023 up 53.0% rising
1 China, mainland 1,779 1000 t 2023 up 53.0% rising
3 Argentina 643 1000 t 2023 up 1,974.2% volatile
4 United States 302 1000 t 2023 down 6.5% flat
5 Russia 301 1000 t 2023 down 65.8% volatile
5 Russian Federation 301 1000 t 2023 down 65.8% volatile
7 France 227 1000 t 2023 up 1.3% rising
8 Germany 160 1000 t 2023 up 88.2% rising
9 Ukraine 91 1000 t 2023 up 225.0% volatile
10 Hungary 78 1000 t 2023 up 81.4% rising
11 United Kingdom 55 1000 t 2023 up 48.6% rising
11 United Kingdom of Great Britain and Northern Ireland 55 1000 t 2023 up 48.6% rising
13 Bulgaria 51 1000 t 2023 down 5.6% rising
14 India 45 1000 t 2023 up 73.1% volatile
15 Spain 36 1000 t 2023 down 67.3% falling
16 Denmark 27 1000 t 2023 up 145.5% rising
17 Moldova 25 1000 t 2023 up 150.0% volatile
17 Republic of Moldova 25 1000 t 2023 up 150.0% volatile
19 Iran (Islamic Republic of) 24 1000 t 2023 down 52.9% falling
20 Belgium 19 1000 t 2023 up 111.1% rising
21 Uzbekistan 18 1000 t 2023 down 72.7% volatile
22 Greece 17 1000 t 2023 up 6.2% falling
23 Austria 15 1000 t 2023 down 48.3% rising
24 Vietnam 14 1000 t 2023 — volatile
24 Viet Nam 14 1000 t 2023 — volatile
26 Norway 13 1000 t 2023 up 18.2% rising
27 Kazakhstan 12 1000 t 2023 up 200.0% rising
28 Netherlands (Kingdom of the) 9 1000 t 2023 — volatile
29 Syria 7 1000 t 2023 up 250.0% volatile
29 Uruguay 7 1000 t 2023 — volatile
29 Syrian Arab Republic 7 1000 t 2023 up 250.0% volatile
32 Ethiopia 6 1000 t 2023 down 25.0% falling
32 Kyrgyzstan 6 1000 t 2023 down 83.3% volatile
32 Thailand 6 1000 t 2023 up 200.0% rising
35 Armenia 5 1000 t 2023 up 400.0% volatile
35 South Africa 5 1000 t 2023 up 66.7% flat
37 Switzerland 4 1000 t 2023 up 300.0% volatile
37 Myanmar 4 1000 t 2023 down 71.4% volatile
37 Pakistan 4 1000 t 2023 down 60.0% volatile
37 Saudi Arabia 4 1000 t 2023 — volatile
41 Czechia 3 1000 t 2023 — volatile
41 Algeria 3 1000 t 2023 up 200.0% volatile
41 Georgia 3 1000 t 2023 down 50.0% falling
41 Libya 3 1000 t 2023 — volatile
41 Portugal 3 1000 t 2023 unchanged flat
41 Tajikistan 3 1000 t 2023 up 200.0% rising
47 United Arab Emirates 2 1000 t 2023 down 50.0% volatile
47 Bosnia and Herzegovina 2 1000 t 2023 up 100.0% volatile
47 Estonia 2 1000 t 2023 up 100.0% rising
47 North Macedonia 2 1000 t 2023 up 100.0% volatile
51 Belarus 1 1000 t 2023 down 93.3% volatile
51 Finland 1 1000 t 2023 unchanged falling
51 Ireland 1 1000 t 2023 — volatile
51 Latvia 1 1000 t 2023 down 66.7% volatile
51 Morocco 1 1000 t 2023 unchanged volatile
51 Mexico 1 1000 t 2023 — volatile
51 Panama 1 1000 t 2023 — volatile
51 Romania 1 1000 t 2023 down 50.0% falling
51 Slovenia 1 1000 t 2023 — rising
60 Bangladesh 0 1000 t 2023 — volatile
60 Brazil 0 1000 t 2023 down 100.0% volatile
60 Canada 0 1000 t 2023 down 100.0% volatile
60 Colombia 0 1000 t 2023 — volatile
60 Croatia 0 1000 t 2023 down 100.0% volatile
60 Israel 0 1000 t 2023 — volatile
60 Italy 0 1000 t 2023 down 100.0% volatile
60 Jordan 0 1000 t 2023 down 100.0% volatile
60 Lithuania 0 1000 t 2023 — volatile
60 Mozambique 0 1000 t 2023 — volatile
60 Malawi 0 1000 t 2023 — volatile
60 Philippines 0 1000 t 2023 — volatile
60 Poland 0 1000 t 2023 — volatile
60 Serbia 0 1000 t 2023 down 100.0% falling
60 Slovakia 0 1000 t 2023 — volatile
60 Tunisia 0 1000 t 2023 down 100.0% volatile
60 Turkey 0 1000 t 2023 down 100.0% volatile
60 Zimbabwe 0 1000 t 2023 — volatile
60 Republic of Korea 0 1000 t 2023 — volatile
60 Türkiye 0 1000 t 2023 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Sunflower seed — Feed by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/sunflower-seed-feed/

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About this data

Indicator
Sunflower seed — Feed
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
165 places, 1,996 data points, 2010–2023
Last refreshed

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.