In 2026, retail sales of fresh fruit are recorded in rubles and expressed through the physical volume index. The list includes 96 rows, comprising the national total, data by federal districts, and individual constituent entities, such as Belgorod Oblast. Columns show both turnover in thousands of rubles and the percentage change relative to the previous year's indicators in constant prices
Chart of retail sales of fresh fruit and the physical volume index by Russian regions in 2026
Rosstat data. Rows: 96, indicators: 2. Table rows: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
Five largest values: Russian Federation (278.4 million), Central Federal District (92.7 million), Moscow (37.3 million), Northwestern Federal District (25.9 million), Moscow Oblast (21.1 million). The gap between the largest and smallest is 4,180 times. The top five account for 92.2% of the total for all positions — the distribution is heavily skewed toward the top
All table numbers are series: 96
Series
Фактически продано, тыс.рублей
в % к соответствующему периоду предыдущего года (в сопоставимых ценах)
Regions can be compared using two key parameters: total revenue and consumption dynamics. Table rows are grouped from the scale of the Russian Federation down to specific oblasts, helping to assess market volume differences between large districts and individual constituent entities. The physical volume index in percent shows the real change in the quantity of goods sold, excluding inflation
What is visible in these numbers
Indicators of the set: Actually sold, thousand rubles; as a % of the corresponding period of the previous year (in comparable prices)
Out of 50 possible values, 50 are filled (100%) — there are practically no missing values
Data is updated by Rosstat based on retail trade statistics. Information for 2026 includes details on actual sales and their rates of change. These figures are useful for retail chain analysts, fruit suppliers, and economists to assess consumer demand across various constituent entities of the country
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.
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