Stocks of certain goods in trade organizations in 2026: fresh potatoes, thousand rubles
The value of fresh potato inventories is measured in thousands of rubles. The indicator reflects the volume of commodity stocks in warehouses and stores on specific dates. The information allows assessment of product availability in retail networks at the beginning of spring and summer
Dynamics of the value of fresh potato inventories in trade organisations from April to July 2026
See also
- Retail trade turnover per capita by year long time series by year
- Оборот розничной торговли в России по годам: 2000-2025 indicator breakdown
- Сколько в России ресторанов, кафе и баров: 2011-2025 indicator breakdown
- Оборот розничной торговли в 2026 году: данные Росстата indicator breakdown
Set in numbers
Rosstat data. Rows: 96, indicators: 2. The breakdown is by the following positions: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
The five largest values: Russian Federation (1.9 million), Central Federal District (898 166), Moscow (609 027), Northwestern Federal District (245 561), Moscow Oblast (116 064). The gap between the largest and the smallest is 2 845 times. The top five account for 94.3% of the total for all positions — the distribution is heavily skewed towards the top
All table numbers are series: 96
How to read this table
Comparison of data for the Russian Federation and individual regions, such as Belgorod Oblast, helps see differences in volumes. Changes can be tracked from 1 April to 1 July. For Russia the values range from 1474006 to 1873432 thousand rubles
What is visible in these numbers
Indicators of the set: as of April 1; as of July 1
50 out of 50 possible values are filled (100%) — there are almost no empty cells left
More in the section Retail trade and catering»
Period and application
The statistics cover the interval April to July 2026. The snapshot is useful for analysing product availability and planning purchases. The materials will be useful for market analysts, retailers and agri‑industrial sector specialists
How it is calculated
Turnover per capita shows where the buyer is solvent and whether it is worth opening a point of sale, and where the market is already saturated
Source disclaimers: Excluding statistical information for the Donetsk People's Republic (DPR), Luhansk People's Republic (LPR), Zaporozhye and Kherson Oblasts
1) Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям.
Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages
Report an error Typo is easier this way: highlight it and press Ctrl + Enter