Starchy Roots — Stock Variation in Kazakhstan
Kazakhstan: Starchy Roots — Stock Variation was -205 1000 t in 2023. ◆ Volatile
Starchy Roots — Stock Variation in Kazakhstan, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, starchy roots — stock variation in Kazakhstan stood at -205 1000 t.
Compared with earlier readings it is down 240.4% on the previous year and down 20,600.0% over ten years.
Over the whole period, starchy roots — stock variation in Kazakhstan peaked at 146 1000 t in 2022 and was at its lowest, -268 1000 t, in 2017.
That places Kazakhstan 179th out of 182 countries 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -66.8 1000 t | -268 1000 t | 63 1000 t | 10 |
| 2020s | -10.75 1000 t | -205 1000 t | 146 1000 t | 4 |
Countries ranked near Kazakhstan
- 176 Democratic People's Republic of Korea -117 1000 t compare
- 177 United Arab Emirates -128 1000 t compare
- 178 Germany -156 1000 t compare
- 180 Malawi -436 1000 t compare
- 181 Colombia -564 1000 t compare
- 182 Russian Federation -1,185 1000 t compare
More agriculture & rural data for Kazakhstan
- Agriculture share gdp 3.74 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 3.74 (2025)
- Agricultural raw materials exports 0.3% (2024)
- Agricultural raw materials imports 0.7% (2024)
- Rural population 37.6% (2025)
- Rural population growth 0.4% (2025)
- Rural population 7.84 million (2025)
- Agriculture, forestry, and fishing, value added 3.7% (2025)
- Agriculture, forestry, and fishing, value added 11.46 billion current US$ (2025)
- Unmanufactured tobacco — Production 128.96 t (2024)
Frequently asked questions
- What is starchy roots — stock variation in Kazakhstan?
- Starchy roots — stock variation in Kazakhstan was -205 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest starchy roots — stock variation recorded in Kazakhstan?
- The highest recorded value was 146 1000 t in 2022.
- What is the lowest starchy roots — stock variation recorded in Kazakhstan?
- The lowest recorded value was -268 1000 t in 2017.
- How does Kazakhstan rank for starchy roots — stock variation?
- Kazakhstan ranks 179th out of 182 countries with data for 2023.
- Is starchy roots — stock variation rising or falling in Kazakhstan?
- Over the last ten years it is down 20,600.0%. The long-run trend across the full record is volatile.
- Where does this Kazakhstan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — 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.