Sunflower seed — Stock Variation in Europe
Europe: Sunflower seed — Stock Variation was -741 1000 t in 2023. ◆ Volatile
Sunflower seed — Stock Variation in Europe, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for sunflower seed — stock variation in Europe is -741 1000 t, measured in 2023.
That represents a change of up 64.4% on the previous year and down 136.8% over ten years.
Over the whole period, sunflower seed — stock variation in Europe peaked at 4,981 1000 t in 2021 and was at its lowest, -2,180 1000 t, in 2012.
That places Europe 29th out of 30 groups with data for 2023, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Sunflower seed — Stock Variation in Europe, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -1,515 1000 t | — |
| 2011 | 2,934 1000 t | -293.7% |
| 2012 | -2,180 1000 t | -174.3% |
| 2013 | 2,011 1000 t | -192.2% |
| 2014 | -1,823 1000 t | -190.7% |
| 2015 | -129 1000 t | -92.9% |
| 2016 | 551 1000 t | -527.1% |
| 2017 | -333 1000 t | -160.4% |
| 2018 | 663 1000 t | -299.1% |
| 2019 | 1,398 1000 t | +110.9% |
| 2020 | -265 1000 t | -119.0% |
| 2021 | 4,981 1000 t | -1979.6% |
| 2022 | -2,080 1000 t | -141.8% |
| 2023 | -741 1000 t | -64.4% |
Biggest year-on-year movements
Years where Sunflower seed — Stock Variation in Europe changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2021 | +1979.6% | -265 1000 t | 4,981 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 157.7 1000 t | -2,180 1000 t | 2,934 1000 t | 10 |
| 2020s | 473.75 1000 t | -2,080 1000 t | 4,981 1000 t | 4 |
Countries ranked near Europe
- 28 China, Taiwan Province of 1 1000 t compare
- 28 Philippines 1 1000 t compare
- 28 Mexico 1 1000 t compare
- 31 Marshall Islands 0 1000 t
- 31 Qatar 0 1000 t
- 31 Bhutan 0 1000 t
- 31 Bahrain 0 1000 t
- 31 Cuba 0 1000 t
- 31 Afghanistan 0 1000 t
- 31 China, Macao SAR 0 1000 t
- 31 Solomon Islands 0 1000 t
- 31 Mongolia 0 1000 t
- 31 Saint Kitts and Nevis 0 1000 t
- 31 Tajikistan 0 1000 t compare
- 31 Micronesia 0 1000 t
- 31 Libya 0 1000 t
- 31 French Polynesia 0 1000 t
- 31 Seychelles 0 1000 t
- 31 Albania 0 1000 t
- 31 Kuwait 0 1000 t compare
- 31 Jordan 0 1000 t compare
- 31 Armenia 0 1000 t compare
- 31 Saint Vincent and the Grenadines 0 1000 t
- 31 Iceland 0 1000 t
- 31 Bahamas 0 1000 t
- 31 Suriname 0 1000 t
- 31 Montenegro 0 1000 t
- 31 Grenada 0 1000 t
- 31 Samoa 0 1000 t
- 31 Saint Lucia 0 1000 t
- 31 Georgia 0 1000 t compare
- 31 Estonia 0 1000 t
- 31 Paraguay 0 1000 t compare
- 31 Maldives 0 1000 t
- 31 Barbados 0 1000 t
- 31 Israel 0 1000 t compare
- 31 Antigua and Barbuda 0 1000 t
- 31 Gabon 0 1000 t
- 31 Iraq 0 1000 t compare
- 31 Kyrgyzstan 0 1000 t compare
- 31 Angola 0 1000 t
- 31 China, Hong Kong SAR 0 1000 t
- 31 Guyana 0 1000 t
- 31 Azerbaijan 0 1000 t compare
- 31 Mauritius 0 1000 t
- 31 Tunisia 0 1000 t compare
- 31 Oman 0 1000 t
- 31 Eswatini 0 1000 t
- 31 Ireland 0 1000 t compare
- 31 Congo 0 1000 t
- 31 Luxembourg 0 1000 t
- 31 New Caledonia 0 1000 t
- 31 Chile 0 1000 t compare
- 31 Latvia 0 1000 t
- 31 Lithuania 0 1000 t compare
- 31 Papua New Guinea 0 1000 t
- 31 Saudi Arabia 0 1000 t
- 31 Malta 0 1000 t
- 31 Belarus 0 1000 t compare
- 31 El Salvador 0 1000 t
- 31 Trinidad and Tobago 0 1000 t
- 31 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 31 Slovakia 0 1000 t compare
- 31 Niger 0 1000 t
- 31 Fiji 0 1000 t
- 31 Panama 0 1000 t compare
- 31 Malaysia 0 1000 t compare
- 31 Syrian Arab Republic 0 1000 t compare
- 31 Slovenia 0 1000 t compare
- 31 Yemen 0 1000 t
- 31 Norway 0 1000 t
- 31 Burkina Faso 0 1000 t
- 31 Nicaragua 0 1000 t
- 31 Jamaica 0 1000 t
- 31 Denmark 0 1000 t
- 31 Belize 0 1000 t
- 31 Polynesia 0 1000 t
- 31 Zambia 0 1000 t compare
- 31 Namibia 0 1000 t
- 31 Switzerland 0 1000 t
- 31 Madagascar 0 1000 t
- 31 New Zealand 0 1000 t compare
- 31 Cambodia 0 1000 t
- 31 Sweden 0 1000 t compare
- 31 Rwanda 0 1000 t
- 31 Cyprus 0 1000 t
- 31 Mozambique 0 1000 t compare
- 31 Ghana 0 1000 t
- 31 Botswana 0 1000 t compare
- 31 Costa Rica 0 1000 t
- 31 Cameroon 0 1000 t
- 31 Ecuador 0 1000 t
- 31 Bangladesh 0 1000 t compare
- 31 Senegal 0 1000 t compare
- 31 Honduras 0 1000 t
- 31 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 31 Côte d'Ivoire 0 1000 t
- 31 Ethiopia 0 1000 t
- 31 Republic of Korea 0 1000 t compare
- 31 Peru 0 1000 t
- 31 Thailand 0 1000 t compare
- 31 Nigeria 0 1000 t compare
- 31 Uganda 0 1000 t compare
- 31 Guatemala 0 1000 t
- 31 Sri Lanka 0 1000 t
- 31 Indonesia 0 1000 t
- 31 Colombia 0 1000 t compare
- 31 Melanesia 0 1000 t
- 31 Nepal 0 1000 t
- 31 Kenya 0 1000 t compare
- 31 China 0 1000 t compare
- 31 Caribbean 0 1000 t
- 31 United Kingdom 0 1000 t
- 31 Syria 0 1000 t compare
- 31 Cote d'Ivoire 0 1000 t
More agriculture & rural data for Europe
- Hen eggs in shell, fresh — Gross Production Value (constant 2014-2016) 0.5624 % change on previous year (2024)
- Crops — Gross Production Value (constant 2014-2016 thousand US$) -1.98 % change on previous year (2024)
- Cereals, primary — Gross Production Value (constant 2014-2016) -6.63 % change on previous year (2024)
- Agriculture — Gross Production Value (constant 2014-2016 thousand) -0.598 % change on previous year (2024)
- Tomatoes — Gross Production Value (constant 2014-2016 thousand I$) 4.64 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled (indigenous) — Gross 1.64 % change on previous year (2024)
- Vegetables Primary — Gross Production Value (constant 2014-2016) 3.02 % change on previous year (2024)
- Sugar Crops Primary — Gross Production Value (constant 2014-2016) 4.24 % change on previous year (2024)
- Vegetables and Fruit Primary — Gross Production Value (constant) 0.6691 % change on previous year (2024)
- Food — Gross Production Value (constant 2014-2016 thousand US$) -0.6071 % change on previous year (2024)
Frequently asked questions
- What is sunflower seed — stock variation in Europe?
- Sunflower seed — stock variation in Europe was -741 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sunflower seed — stock variation recorded in Europe?
- The highest recorded value was 4,981 1000 t in 2021.
- What is the lowest sunflower seed — stock variation recorded in Europe?
- The lowest recorded value was -2,180 1000 t in 2012.
- How does Europe rank for sunflower seed — stock variation?
- Europe ranks 29th out of 30 groups with data for 2023.
- Is sunflower seed — stock variation rising or falling in Europe?
- Over the last ten years it is down 136.8%. The long-run trend across the full record is volatile.
- Where does this Europe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sunflower seed — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.