Grapefruit and products — Stock Variation in Southern Europe
Southern Europe: Grapefruit and products — Stock Variation was 4 1000 t in 2023. ◆ Volatile
Grapefruit and products — Stock Variation in Southern Europe, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, grapefruit and products — stock variation in Southern Europe stood at 4 1000 t.
Compared with earlier readings it is up 300.0% on the previous year and up 157.1% over ten years.
Over the whole period, grapefruit and products — stock variation in Southern Europe peaked at 26 1000 t in 2016 and was at its lowest, -23 1000 t, in 2011.
Southern Europe ranks 7th of 29 groups on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Grapefruit and products — Stock Variation in Southern Europe, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -8 1000 t | — |
| 2011 | -23 1000 t | +187.5% |
| 2012 | -5 1000 t | -78.3% |
| 2013 | -7 1000 t | +40.0% |
| 2014 | -6 1000 t | -14.3% |
| 2015 | 15 1000 t | -350.0% |
| 2016 | 26 1000 t | +73.3% |
| 2017 | -2 1000 t | -107.7% |
| 2018 | 1 1000 t | -150.0% |
| 2019 | -1 1000 t | -200.0% |
| 2020 | 0 1000 t | -100.0% |
| 2021 | 2 1000 t | — |
| 2022 | -2 1000 t | -200.0% |
| 2023 | 4 1000 t | -300.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -1 1000 t | -23 1000 t | 26 1000 t | 10 |
| 2020s | 1 1000 t | -2 1000 t | 4 1000 t | 4 |
Countries ranked near Southern Europe
- 6 Eswatini 2 1000 t compare
- 6 Thailand 2 1000 t compare
- 8 Tunisia 1 1000 t compare
- 9 Marshall Islands 0 1000 t
- 9 Qatar 0 1000 t compare
- 9 Bahrain 0 1000 t
- 9 Cuba 0 1000 t compare
- 9 Kiribati 0 1000 t
- 9 Sao Tome and Principe 0 1000 t
- 9 Mauritania 0 1000 t
- 9 China, Macao SAR 0 1000 t
- 9 Tajikistan 0 1000 t
- 9 Mongolia 0 1000 t
- 9 Saint Kitts and Nevis 0 1000 t
- 9 Solomon Islands 0 1000 t
- 9 Vanuatu 0 1000 t
- 9 Albania 0 1000 t
- 9 Libya 0 1000 t
- 9 Suriname 0 1000 t
- 9 Saint Vincent and the Grenadines 0 1000 t
- 9 Sierra Leone 0 1000 t
- 9 Montenegro 0 1000 t
- 9 Maldives 0 1000 t
- 9 Armenia 0 1000 t
- 9 Iceland 0 1000 t
- 9 Grenada 0 1000 t
- 9 French Polynesia 0 1000 t
- 9 Seychelles 0 1000 t
- 9 Saint Lucia 0 1000 t
- 9 Kuwait 0 1000 t compare
- 9 Samoa 0 1000 t
- 9 Estonia 0 1000 t
- 9 Guyana 0 1000 t
- 9 Gabon 0 1000 t compare
- 9 Georgia 0 1000 t
- 9 Lithuania 0 1000 t
- 9 Kyrgyzstan 0 1000 t
- 9 Bosnia and Herzegovina 0 1000 t
- 9 Uzbekistan 0 1000 t
- 9 Jordan 0 1000 t
- 9 New Caledonia 0 1000 t
- 9 North Macedonia 0 1000 t
- 9 Haiti 0 1000 t
- 9 Guinea 0 1000 t
- 9 Bahamas 0 1000 t
- 9 Finland 0 1000 t compare
- 9 Angola 0 1000 t
- 9 Congo 0 1000 t
- 9 Azerbaijan 0 1000 t
- 9 Papua New Guinea 0 1000 t
- 9 Oman 0 1000 t
- 9 Slovakia 0 1000 t
- 9 Paraguay 0 1000 t compare
- 9 Algeria 0 1000 t
- 9 Antigua and Barbuda 0 1000 t
- 9 Uruguay 0 1000 t compare
- 9 Luxembourg 0 1000 t
- 9 Barbados 0 1000 t
- 9 Belarus 0 1000 t compare
- 9 Latvia 0 1000 t compare
- 9 Niger 0 1000 t
- 9 Ireland 0 1000 t compare
- 9 Croatia 0 1000 t compare
- 9 Czechia 0 1000 t compare
- 9 Namibia 0 1000 t compare
- 9 Iraq 0 1000 t
- 9 Chile 0 1000 t
- 9 Ukraine 0 1000 t compare
- 9 Argentina 0 1000 t compare
- 9 Serbia 0 1000 t
- 9 Saudi Arabia 0 1000 t compare
- 9 Norway 0 1000 t compare
- 9 Slovenia 0 1000 t compare
- 9 Panama 0 1000 t compare
- 9 Jamaica 0 1000 t compare
- 9 Burkina Faso 0 1000 t compare
- 9 Netherlands (Kingdom of the) 0 1000 t compare
- 9 Belgium 0 1000 t compare
- 9 Mauritius 0 1000 t
- 9 China, Hong Kong SAR 0 1000 t compare
- 9 Trinidad and Tobago 0 1000 t
- 9 Nicaragua 0 1000 t
- 9 Portugal 0 1000 t
- 9 Rwanda 0 1000 t
- 9 Romania 0 1000 t compare
- 9 Poland 0 1000 t compare
- 9 El Salvador 0 1000 t
- 9 Denmark 0 1000 t compare
- 9 Switzerland 0 1000 t compare
- 9 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 9 Malta 0 1000 t
- 9 New Zealand 0 1000 t
- 9 Malawi 0 1000 t
- 9 Yemen 0 1000 t compare
- 9 Zambia 0 1000 t
- 9 Fiji 0 1000 t
- 9 Myanmar 0 1000 t
- 9 Canada 0 1000 t compare
- 9 Lebanon 0 1000 t
- 9 Malaysia 0 1000 t compare
- 9 Austria 0 1000 t compare
- 9 Madagascar 0 1000 t
- 9 France 0 1000 t compare
- 9 Russian Federation 0 1000 t compare
- 9 Sweden 0 1000 t compare
- 9 Ecuador 0 1000 t
- 9 Ghana 0 1000 t compare
- 9 Mozambique 0 1000 t
- 9 United Arab Emirates 0 1000 t
- 9 Hungary 0 1000 t compare
- 9 China, Taiwan Province of 0 1000 t compare
- 9 Australia 0 1000 t compare
- 9 Morocco 0 1000 t
- 9 Botswana 0 1000 t
- 9 Kazakhstan 0 1000 t compare
- 9 Zimbabwe 0 1000 t
- 9 Cameroon 0 1000 t
- 9 Germany 0 1000 t compare
- 9 Senegal 0 1000 t
- 9 Italy 0 1000 t compare
- 9 Honduras 0 1000 t
- 9 Ethiopia 0 1000 t compare
- 9 Cambodia 0 1000 t
- 9 Costa Rica 0 1000 t compare
- 9 Bangladesh 0 1000 t
- 9 Republic of Korea 0 1000 t compare
- 9 Nigeria 0 1000 t
- 9 Uganda 0 1000 t
- 9 Pakistan 0 1000 t
- 9 Peru 0 1000 t
- 9 Sri Lanka 0 1000 t
- 9 India 0 1000 t compare
- 9 Mexico 0 1000 t compare
- 9 Guatemala 0 1000 t
- 9 Brazil 0 1000 t compare
- 9 Egypt 0 1000 t
- 9 Australia and New Zealand 0 1000 t compare
- 9 Colombia 0 1000 t
- 9 Indonesia 0 1000 t
- 9 Nepal 0 1000 t
More agriculture & rural data for Southern Europe
- Tomatoes — Production, annual growth rate 5.36 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 0.1882 % change on previous year (2024)
- Tomatoes — Area harvested, annual growth rate 5.16 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate -0.5386 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing 0.8895 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production, annual 2.08 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 1.1 % change on previous year (2024)
- Unmanufactured tobacco — Area harvested 45,919 ha (2024)
- Unmanufactured tobacco — Production 103,293 t (2024)
- Bananas — Production 452,640 t (2024)
Frequently asked questions
- What is grapefruit and products — stock variation in Southern Europe?
- Grapefruit and products — stock variation in Southern Europe was 4 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest grapefruit and products — stock variation recorded in Southern Europe?
- The highest recorded value was 26 1000 t in 2016.
- What is the lowest grapefruit and products — stock variation recorded in Southern Europe?
- The lowest recorded value was -23 1000 t in 2011.
- How does Southern Europe rank for grapefruit and products — stock variation?
- Southern Europe ranks 7th out of 29 groups with data for 2023.
- Is grapefruit and products — stock variation rising or falling in Southern Europe?
- Over the last ten years it is up 157.1%. The long-run trend across the full record is volatile.
- Where does this Southern Europe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Grapefruit and products — Stock Variation. Statizoid updates them automatically from the source API.
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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.