Stocks of certain goods in trade organizations in 2026: fresh fruits, thousand rubles
The value of fresh fruit stocks in retail organizations reflects the actual volume of goods held in warehouses and on retail shelves. The indicator accounts for the availability of all products in monetary terms. The dataset provides data for specific dates in April, May, and June 2026, showing the status of inventory levels during this period
Trends in fresh fruit stock volumes in retail stores from April 1 to July 1, 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. Shown by items: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
Five largest values: Russian Federation (10.4 million), Central Federal District (3.7 million), Moscow (1.8 million), Northwestern Federal District (1 million), Moscow Oblast (821 761). The gap between the largest and the smallest is 2 613 times. The top five account for 93.9% of the sum for all items — the distribution is heavily skewed towards the top
All table numbers are series: 96
How to read this table
Comparing values across different territories allows for assessing the supply intensity of various regions. The rows include indicators for the Russian Federation, the Central Federal District, and the Belgorod Region. These rows enable comparison of inventory volumes between the national level and specific constituent entities or districts
What is visible in these numbers
What is measured: as of April 1; as of July 1
50 out of 50 possible values are filled (100%), meaning the table is almost entirely filled
More in the section Retail trade and catering»
Period and application
The data covers several months of 2026 and is presented as snapshots on specific dates. This information is useful for analyzing commodity flows and planning retail procurement. The data is intended for retail, logistics, and fresh produce specialists to assess market conditions
How it is calculated
Trade turnover is used to estimate the capacity of regional markets, select locations for points of sale, and compare demand dynamics
What is noted in the source itself: 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.
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