Sugar Crops — Stock Variation in Italy
Italy: Sugar Crops — Stock Variation was 13 1000 t in 2023. ◆ Volatile
Sugar Crops — Stock Variation in Italy, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Italy recorded 13 1000 t for sugar crops — stock variation in 2023.
That represents a change of up 1,200.0% on the previous year and down 59.4% over five years.
Over the whole period, sugar crops — stock variation in Italy peaked at 309 1000 t in 2014 and was at its lowest, -300 1000 t, in 2019.
Italy ranks 20th of 126 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 28.7 1000 t | -300 1000 t | 309 1000 t | 10 |
| 2020s | -28.25 1000 t | -84 1000 t | 13 1000 t | 4 |
Countries ranked near Italy
- 17 Kazakhstan 73 1000 t compare
- 18 Belgium 28 1000 t compare
- 19 Cambodia 16 1000 t compare
- 21 Luxembourg 1 1000 t compare
- 21 Pakistan 1 1000 t compare
- 23 Marshall Islands 0 1000 t compare
- 23 Bahrain 0 1000 t compare
- 23 Kiribati 0 1000 t compare
- 23 Afghanistan 0 1000 t compare
- 23 Libya 0 1000 t compare
- 23 Micronesia 0 1000 t compare
- 23 Jordan 0 1000 t compare
- 23 Albania 0 1000 t compare
- 23 Solomon Islands 0 1000 t compare
- 23 Iraq 0 1000 t compare
- 23 Uzbekistan 0 1000 t compare
- 23 Armenia 0 1000 t compare
- 23 Kuwait 0 1000 t compare
- 23 Iceland 0 1000 t compare
- 23 Samoa 0 1000 t compare
- 23 Azerbaijan 0 1000 t compare
- 23 Argentina 0 1000 t compare
- 23 North Macedonia 0 1000 t compare
- 23 Kyrgyzstan 0 1000 t compare
- 23 Bahamas 0 1000 t compare
- 23 Israel 0 1000 t compare
- 23 Algeria 0 1000 t compare
- 23 Ireland 0 1000 t compare
- 23 Gambia 0 1000 t compare
- 23 Croatia 0 1000 t compare
- 23 Georgia 0 1000 t compare
- 23 Montenegro 0 1000 t compare
- 23 China, Hong Kong SAR 0 1000 t compare
- 23 Bosnia and Herzegovina 0 1000 t compare
- 23 Estonia 0 1000 t compare
- 23 Congo 0 1000 t compare
- 23 Finland 0 1000 t compare
- 23 Maldives 0 1000 t compare
- 23 Saudi Arabia 0 1000 t compare
- 23 El Salvador 0 1000 t compare
- 23 Lebanon 0 1000 t compare
- 23 Malta 0 1000 t compare
- 23 Latvia 0 1000 t compare
- 23 Bulgaria 0 1000 t compare
- 23 Cyprus 0 1000 t compare
- 23 Tunisia 0 1000 t compare
- 23 Norway 0 1000 t compare
- 23 Eswatini 0 1000 t compare
- 23 United Arab Emirates 0 1000 t compare
- 23 Malaysia 0 1000 t compare
- 23 Oman 0 1000 t compare
- 23 Czechia 0 1000 t compare
- 23 Denmark 0 1000 t compare
- 23 Uruguay 0 1000 t compare
- 23 Lithuania 0 1000 t compare
- 23 Slovakia 0 1000 t compare
- 23 Yemen 0 1000 t compare
- 23 Panama 0 1000 t compare
- 23 Greece 0 1000 t compare
- 23 Slovenia 0 1000 t compare
- 23 Costa Rica 0 1000 t compare
- 23 Bangladesh 0 1000 t compare
- 23 Ecuador 0 1000 t compare
- 23 Fiji 0 1000 t compare
- 23 Sweden 0 1000 t compare
- 23 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 23 Romania 0 1000 t compare
- 23 Polynesia 0 1000 t compare
- 23 Hungary 0 1000 t compare
- 23 Germany 0 1000 t compare
- 23 Jamaica 0 1000 t compare
- 23 Philippines 0 1000 t compare
- 23 New Zealand 0 1000 t compare
- 23 India 0 1000 t compare
- 23 Namibia 0 1000 t compare
- 23 Peru 0 1000 t compare
- 23 Mexico 0 1000 t compare
- 23 Canada 0 1000 t compare
- 23 Brazil 0 1000 t compare
- 23 Portugal 0 1000 t compare
- 23 Niger 0 1000 t compare
- 23 Guatemala 0 1000 t compare
- 23 Sri Lanka 0 1000 t compare
- 23 Republic of Korea 0 1000 t compare
- 23 Thailand 0 1000 t compare
- 23 China, Taiwan Province of 0 1000 t compare
- 23 Zambia 0 1000 t compare
- 23 Botswana 0 1000 t compare
- 23 Colombia 0 1000 t compare
- 23 Zimbabwe 0 1000 t compare
- 23 Indonesia 0 1000 t compare
- 23 Ghana 0 1000 t compare
- 23 Côte d'Ivoire 0 1000 t compare
- 23 Senegal 0 1000 t compare
- 23 Uganda 0 1000 t compare
- 23 Ethiopia 0 1000 t compare
- 23 Nepal 0 1000 t compare
- 23 Rwanda 0 1000 t compare
- 23 United Republic of Tanzania 0 1000 t compare
- 23 Kenya 0 1000 t compare
- 23 Melanesia 0 1000 t compare
More agriculture & rural data for Italy
- Agriculture share gdp 2.07 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.07 (2025)
- Agricultural raw materials exports 0.6% (2024)
- Agricultural raw materials imports 1.5% (2024)
- Rural population 30.3% (2025)
- Rural population growth -0.3% (2025)
- Rural population 17.86 million (2025)
- Agriculture, forestry, and fishing, value added 2.1% (2025)
- Agriculture, forestry, and fishing, value added 52.70 billion current US$ (2025)
- Bananas — Production 0 t (2024)
Frequently asked questions
- What is sugar crops — stock variation in Italy?
- Sugar crops — stock variation in Italy was 13 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops — stock variation recorded in Italy?
- The highest recorded value was 309 1000 t in 2014.
- What is the lowest sugar crops — stock variation recorded in Italy?
- The lowest recorded value was -300 1000 t in 2019.
- How does Italy rank for sugar crops — stock variation?
- Italy ranks 20th out of 126 countries with data for 2023.
- Where does this Italy data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar Crops — 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.