Sugar Crops — Stock Variation in Canada
Canada: Sugar Crops — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Sugar Crops — Stock Variation in Canada, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Canada recorded 0 1000 t for sugar crops — stock variation in 2023.
Compared with earlier readings it is down 100.0% on the previous year and up 100.0% over ten years.
Over the whole period, sugar crops — stock variation in Canada peaked at 482 1000 t in 2018 and was at its lowest, -452 1000 t, in 2012.
That places Canada 26th out of 134 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops — Stock Variation in Canada, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -92 1000 t | — |
| 2011 | -314 1000 t | +241.3% |
| 2012 | -452 1000 t | +43.9% |
| 2013 | -145 1000 t | -67.9% |
| 2014 | 285 1000 t | -296.6% |
| 2015 | 145 1000 t | -49.1% |
| 2016 | 366 1000 t | +152.4% |
| 2017 | 370 1000 t | +1.1% |
| 2018 | 482 1000 t | +30.3% |
| 2019 | -8 1000 t | -101.7% |
| 2020 | 335 1000 t | -4287.5% |
| 2021 | 341 1000 t | +1.8% |
| 2022 | 134 1000 t | -60.7% |
| 2023 | 0 1000 t | -100.0% |
Biggest year-on-year movements
Years where Sugar Crops — Stock Variation in Canada 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 |
|---|---|---|---|
| 2020 | +4287.5% | -8 1000 t | 335 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 63.7 1000 t | -452 1000 t | 482 1000 t | 10 |
| 2020s | 202.5 1000 t | 0 1000 t | 341 1000 t | 4 |
Countries ranked near Canada
- 23 Italy 13 1000 t compare
- 24 Luxembourg 1 1000 t compare
- 24 Pakistan 1 1000 t compare
- 26 Marshall Islands 0 1000 t
- 26 Bahrain 0 1000 t
- 26 Kiribati 0 1000 t
- 26 Afghanistan 0 1000 t compare
- 26 Libya 0 1000 t
- 26 Micronesia 0 1000 t
- 26 Jordan 0 1000 t
- 26 Albania 0 1000 t compare
- 26 Solomon Islands 0 1000 t
- 26 Iraq 0 1000 t
- 26 Uzbekistan 0 1000 t
- 26 Armenia 0 1000 t compare
- 26 Kuwait 0 1000 t
- 26 Iceland 0 1000 t
- 26 Samoa 0 1000 t
- 26 Azerbaijan 0 1000 t
- 26 Argentina 0 1000 t
- 26 North Macedonia 0 1000 t compare
- 26 Kyrgyzstan 0 1000 t compare
- 26 Bahamas 0 1000 t
- 26 Israel 0 1000 t
- 26 Algeria 0 1000 t
- 26 Ireland 0 1000 t
- 26 Gambia 0 1000 t
- 26 Croatia 0 1000 t compare
- 26 Georgia 0 1000 t
- 26 Montenegro 0 1000 t
- 26 China, Hong Kong SAR 0 1000 t
- 26 Bosnia and Herzegovina 0 1000 t compare
- 26 Estonia 0 1000 t
- 26 Congo 0 1000 t
- 26 Finland 0 1000 t compare
- 26 Maldives 0 1000 t
- 26 Saudi Arabia 0 1000 t
- 26 El Salvador 0 1000 t compare
- 26 Lebanon 0 1000 t
- 26 Malta 0 1000 t
- 26 Latvia 0 1000 t
- 26 Bulgaria 0 1000 t
- 26 Cyprus 0 1000 t
- 26 Tunisia 0 1000 t compare
- 26 Norway 0 1000 t
- 26 Eswatini 0 1000 t
- 26 United Arab Emirates 0 1000 t
- 26 Malaysia 0 1000 t
- 26 Oman 0 1000 t compare
- 26 Czechia 0 1000 t compare
- 26 Denmark 0 1000 t compare
- 26 Uruguay 0 1000 t
- 26 Lithuania 0 1000 t compare
- 26 Slovakia 0 1000 t compare
- 26 Yemen 0 1000 t
- 26 Panama 0 1000 t
- 26 Greece 0 1000 t compare
- 26 Slovenia 0 1000 t
- 26 Costa Rica 0 1000 t
- 26 Bangladesh 0 1000 t
- 26 Ecuador 0 1000 t
- 26 Fiji 0 1000 t
- 26 Sweden 0 1000 t compare
- 26 Venezuela (Bolivarian Republic of) 0 1000 t
- 26 Romania 0 1000 t compare
- 26 Polynesia 0 1000 t
- 26 Hungary 0 1000 t compare
- 26 Germany 0 1000 t compare
- 26 Jamaica 0 1000 t
- 26 Philippines 0 1000 t
- 26 New Zealand 0 1000 t
- 26 India 0 1000 t
- 26 Namibia 0 1000 t
- 26 Peru 0 1000 t
- 26 Mexico 0 1000 t
- 26 Brazil 0 1000 t
- 26 Portugal 0 1000 t compare
- 26 Niger 0 1000 t
- 26 Guatemala 0 1000 t
- 26 Sri Lanka 0 1000 t
- 26 Republic of Korea 0 1000 t
- 26 Thailand 0 1000 t
- 26 China, Taiwan Province of 0 1000 t
- 26 Zambia 0 1000 t
- 26 Botswana 0 1000 t
- 26 Colombia 0 1000 t compare
- 26 Zimbabwe 0 1000 t
- 26 Indonesia 0 1000 t
- 26 Ghana 0 1000 t
- 26 Côte d'Ivoire 0 1000 t
- 26 Senegal 0 1000 t
- 26 Uganda 0 1000 t
- 26 Ethiopia 0 1000 t
- 26 Nepal 0 1000 t
- 26 Rwanda 0 1000 t
- 26 United Republic of Tanzania 0 1000 t
- 26 South Africa 0 1000 t
- 26 Kenya 0 1000 t
- 26 Melanesia 0 1000 t
- 26 Caribbean 0 1000 t
- 26 Cote d'Ivoire 0 1000 t
More agriculture & rural data for Canada
- Agriculture, forestry, and fishing, value added (current US$), annual 31.61 % change on previous year (2022)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0193 current US$ per US$ of GDP (2022)
- Agriculture, forestry, and fishing, value added (current US$), per 1,092 current US$ per person (2022)
- Rural population, annual growth rate -0.0803 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.1712 units per person (2025)
- Share of GDP from agriculture 1.9% (2022)
- Agriculture as a share of GDP vs. GDP per capita 1.9% (2022)
- Agricultural raw materials exports 2.9% (2024)
- Agricultural raw materials imports 0.7% (2024)
Frequently asked questions
- What is sugar crops — stock variation in Canada?
- Sugar crops — stock variation in Canada was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops — stock variation recorded in Canada?
- The highest recorded value was 482 1000 t in 2018.
- What is the lowest sugar crops — stock variation recorded in Canada?
- The lowest recorded value was -452 1000 t in 2012.
- How does Canada rank for sugar crops — stock variation?
- Canada ranks 26th out of 134 countries with data for 2023.
- Is sugar crops — stock variation rising or falling in Canada?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Canada 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.
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.