Sunflower seed — 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...

Countries reporting
157
Highest
387 1000 t
Türkiye
Lowest
-629 1000 t
Romania
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,500

What the numbers show

Sunflower seed — Stock Variation is currently reported for 157 countries. The highest value is 387 1000 t in Türkiye; the lowest is -629 1000 t in Romania.

The median across all reporting countries is 0 1000 t, and the mean is -0.0446 1000 t.

Over the past decade 30 countries rose and 24 fell. The largest increase was in Bosnia and Herzegovina (up 1,600.0%), and the largest decrease in Poland (down 1,050.0%).

Sunflower seed — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Türkiye 387 1000 t 2023 up 141.9% volatile
2 Russian Federation 316 1000 t 2023 down 75.7% volatile
3 Hungary 217 1000 t 2023 down 19.3% volatile
4 France 141 1000 t 2023 volatile
5 Kazakhstan 130 1000 t 2023 up 44.4% volatile
6 Netherlands (Kingdom of the) 108 1000 t 2023 up 285.7% volatile
7 India 97 1000 t 2023 up 283.0% volatile
8 Spain 73 1000 t 2023 down 27.0% volatile
9 Pakistan 44 1000 t 2023 up 113.8% volatile
10 Myanmar 41 1000 t 2023 up 241.7% volatile
11 Argentina 40 1000 t 2023 down 89.1% volatile
12 Serbia 32 1000 t 2023 up 140.0% volatile
13 Zimbabwe 25 1000 t 2023 up 457.1% volatile
14 Bosnia and Herzegovina 17 1000 t 2023 up 1,600.0% volatile
15 Uzbekistan 15 1000 t 2023 down 11.8% volatile
16 Canada 11 1000 t 2023 up 134.4% volatile
17 Italy 9 1000 t 2023 down 93.3% volatile
18 Morocco 6 1000 t 2023 volatile
19 Iran (Islamic Republic of) 4 1000 t 2023 up 300.0% volatile
20 Algeria 3 1000 t 2023 up 200.0% volatile
21 Australia 2 1000 t 2023 up 200.0% volatile
21 Finland 2 1000 t 2023 up 200.0% volatile
21 Lebanon 2 1000 t 2023 up 100.0% volatile
21 Australia and New Zealand 2 1000 t 2023 up 200.0% volatile
25 Mexico 1 1000 t 2023 down 50.0% flat
25 Philippines 1 1000 t 2023 volatile
25 China, Taiwan Province of 1 1000 t 2023 volatile
28 Afghanistan 0 1000 t 2023 flat
28 Angola 0 1000 t 2023 flat
28 Albania 0 1000 t 2023 flat
28 Armenia 0 1000 t 2023 up 100.0% volatile
28 Antigua and Barbuda 0 1000 t 2023 flat
28 Azerbaijan 0 1000 t 2023 up 100.0% volatile
28 Burkina Faso 0 1000 t 2023 flat
28 Bangladesh 0 1000 t 2023 volatile
28 Bahrain 0 1000 t 2023 flat
28 Bahamas 0 1000 t 2023 flat
28 Belarus 0 1000 t 2023 down 100.0% volatile
28 Belize 0 1000 t 2023 flat
28 Barbados 0 1000 t 2023 flat
28 Bhutan 0 1000 t 2023 flat
28 Botswana 0 1000 t 2023 volatile
28 Switzerland 0 1000 t 2023 flat
28 Chile 0 1000 t 2023 up 100.0% volatile
28 China 0 1000 t 2023 up 100.0% volatile
28 Cameroon 0 1000 t 2023 flat
28 Congo 0 1000 t 2023 flat
28 Colombia 0 1000 t 2023 volatile
28 Costa Rica 0 1000 t 2023 flat
28 Cuba 0 1000 t 2019 flat
28 Cyprus 0 1000 t 2023 flat
28 Denmark 0 1000 t 2023 flat
28 Ecuador 0 1000 t 2023 flat
28 Estonia 0 1000 t 2023 flat
28 Ethiopia 0 1000 t 2023 flat
28 Fiji 0 1000 t 2023 flat
28 Gabon 0 1000 t 2023 flat
28 Georgia 0 1000 t 2023 up 100.0% volatile
28 Ghana 0 1000 t 2023 flat
28 Grenada 0 1000 t 2023 flat
28 Guatemala 0 1000 t 2023 flat
28 Guyana 0 1000 t 2023 flat
28 Honduras 0 1000 t 2023 flat
28 Indonesia 0 1000 t 2023 flat
28 Ireland 0 1000 t 2023 volatile
28 Iraq 0 1000 t 2023 up 100.0% volatile
28 Iceland 0 1000 t 2023 flat
28 Israel 0 1000 t 2023 volatile
28 Jamaica 0 1000 t 2023 flat
28 Jordan 0 1000 t 2023 volatile
28 Kenya 0 1000 t 2023 up 100.0% volatile
28 Kyrgyzstan 0 1000 t 2023 down 100.0% volatile
28 Cambodia 0 1000 t 2023 flat
28 Saint Kitts and Nevis 0 1000 t 2018 flat
28 Kuwait 0 1000 t 2023 volatile
28 Libya 0 1000 t 2023 flat
28 Saint Lucia 0 1000 t 2023 flat
28 Sri Lanka 0 1000 t 2023 flat
28 Lithuania 0 1000 t 2023 flat
28 Luxembourg 0 1000 t 2023 flat
28 Latvia 0 1000 t 2023 flat
28 Madagascar 0 1000 t 2023 flat
28 Maldives 0 1000 t 2023 flat
28 Marshall Islands 0 1000 t 2023 flat
28 Malta 0 1000 t 2023 flat
28 Montenegro 0 1000 t 2023 flat
28 Mongolia 0 1000 t 2023 flat
28 Mozambique 0 1000 t 2023 volatile
28 Mauritius 0 1000 t 2023 flat
28 Malaysia 0 1000 t 2023 volatile
28 Namibia 0 1000 t 2023 flat
28 New Caledonia 0 1000 t 2023 flat
28 Niger 0 1000 t 2023 flat
28 Nigeria 0 1000 t 2023 volatile
28 Nicaragua 0 1000 t 2023 flat
28 Norway 0 1000 t 2023 flat
28 Nepal 0 1000 t 2023 flat
28 New Zealand 0 1000 t 2023 volatile
28 Oman 0 1000 t 2023 flat
28 Panama 0 1000 t 2023 volatile
28 Peru 0 1000 t 2023 flat
28 Papua New Guinea 0 1000 t 2023 flat
28 Paraguay 0 1000 t 2023 down 100.0% volatile
28 French Polynesia 0 1000 t 2023 flat
28 Qatar 0 1000 t 2023 flat
28 Rwanda 0 1000 t 2023 flat
28 Saudi Arabia 0 1000 t 2023 flat
28 Senegal 0 1000 t 2023 volatile
28 Solomon Islands 0 1000 t 2023 flat
28 El Salvador 0 1000 t 2023 flat
28 Suriname 0 1000 t 2023 flat
28 Slovakia 0 1000 t 2023 up 100.0% volatile
28 Slovenia 0 1000 t 2023 volatile
28 Sweden 0 1000 t 2023 volatile
28 Eswatini 0 1000 t 2023 flat
28 Seychelles 0 1000 t 2023 flat
28 Thailand 0 1000 t 2023 up 100.0% volatile
28 Tajikistan 0 1000 t 2023 volatile
28 Trinidad and Tobago 0 1000 t 2023 flat
28 Tunisia 0 1000 t 2023 volatile
28 Uganda 0 1000 t 2023 volatile
28 Saint Vincent and the Grenadines 0 1000 t 2023 flat
28 Samoa 0 1000 t 2023 flat
28 Yemen 0 1000 t 2023 flat
28 Zambia 0 1000 t 2023 up 100.0% volatile
28 Micronesia 0 1000 t 2023 flat
28 Melanesia 0 1000 t 2023 flat
28 Polynesia 0 1000 t 2023 flat
28 Caribbean 0 1000 t 2023 flat
28 China, Hong Kong SAR 0 1000 t 2023 flat
28 Republic of Korea 0 1000 t 2023 volatile
28 Syrian Arab Republic 0 1000 t 2023 up 100.0% volatile
28 Venezuela (Bolivarian Republic of) 0 1000 t 2023 up 100.0% volatile
28 Côte d'Ivoire 0 1000 t 2023 flat
28 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
28 China, Macao SAR 0 1000 t 2023 flat
137 United Arab Emirates -1 1000 t 2023 down 120.0% volatile
137 North Macedonia -1 1000 t 2023 volatile
137 Malawi -1 1000 t 2023 volatile
137 China, mainland -1 1000 t 2023 up 99.8% volatile
141 Brazil -2 1000 t 2023 up 88.2% volatile
141 Bolivia (Plurinational State of) -2 1000 t 2023 volatile
143 Belgium -3 1000 t 2023 volatile
144 Czechia -6 1000 t 2023 down 20.0% volatile
144 Portugal -6 1000 t 2023 down 114.3% volatile
144 Uruguay -6 1000 t 2023 down 100.0% volatile
147 Germany -8 1000 t 2023 down 108.4% volatile
148 Egypt -11 1000 t 2023 down 283.3% volatile
149 Austria -18 1000 t 2023 down 800.0% volatile
150 Poland -19 1000 t 2023 down 1,050.0% volatile
151 Croatia -22 1000 t 2023 down 375.0% volatile
152 United Republic of Tanzania -53 1000 t 2023 down 133.3% volatile
153 Greece -72 1000 t 2023 volatile
154 Republic of Moldova -104 1000 t 2023 down 240.5% volatile
155 Ukraine -370 1000 t 2023 down 374.1% volatile
156 Bulgaria -399 1000 t 2023 down 625.0% volatile
157 Romania -629 1000 t 2023 down 984.5% volatile

Regions and income groups

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

About this data

Indicator
Sunflower seed — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
188 places, 2,500 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.