Sugar Crops — Stock Variation in Russia
Russia: Sugar Crops — Stock Variation was 3,784 1000 t in 2023. ◆ Volatile
Sugar Crops — Stock Variation in Russia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for sugar crops — stock variation in Russia is 3,784 1000 t, measured in 2023.
The figure is down 44.8% on the previous year and up 289.2% over ten years.
Over the whole period, sugar crops — stock variation in Russia peaked at 7,226 1000 t in 2016 and was at its lowest, -5,439 1000 t, in 2020.
Russia ranks 1st of 134 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops — Stock Variation in Russia, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 5,000 1000 t | — |
| 2012 | 0 1000 t | -100.0% |
| 2013 | -2,000 1000 t | — |
| 2014 | -3,000 1000 t | +50.0% |
| 2015 | 0 1000 t | -100.0% |
| 2016 | 7,226 1000 t | — |
| 2017 | 5,828 1000 t | -19.3% |
| 2018 | -240 1000 t | -104.1% |
| 2019 | 3,639 1000 t | -1616.3% |
| 2020 | -5,439 1000 t | -249.5% |
| 2021 | 1,485 1000 t | -127.3% |
| 2022 | 6,856 1000 t | +361.7% |
| 2023 | 3,784 1000 t | -44.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1,645 1000 t | -3,000 1000 t | 7,226 1000 t | 10 |
| 2020s | 1,672 1000 t | -5,439 1000 t | 6,856 1000 t | 4 |
Countries ranked near Russia
More agriculture & rural data for Russia
- Agriculture, forestry, and fishing, value added (current US$), annual 23.26 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0306 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 545.65 current US$ per person (2025)
- Rural population, annual growth rate -0.6656 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2475 units per person (2025)
- Share of GDP from agriculture 3.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 3.1% (2025)
- Agricultural raw materials exports 2.3% (2021)
- Agricultural raw materials imports 1.0% (2021)
Frequently asked questions
- What is sugar crops — stock variation in Russia?
- Sugar crops — stock variation in Russia was 3,784 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops — stock variation recorded in Russia?
- The highest recorded value was 7,226 1000 t in 2016.
- What is the lowest sugar crops — stock variation recorded in Russia?
- The lowest recorded value was -5,439 1000 t in 2020.
- How does Russia rank for sugar crops — stock variation?
- Russia ranks 1st out of 134 countries with data for 2023.
- Is sugar crops — stock variation rising or falling in Russia?
- Over the last ten years it is up 289.2%. The long-run trend across the full record is volatile.
- Where does this Russia 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.