This table presents 2026 retail sales data for men's, women's, and children's clothing in specialized stores. Rows cover the Russian Federation, federal districts, and individual regions, allowing for a comparison of trade levels across the country. Columns show actual sales volume in thousand rubles and the physical volume index as a percentage of the previous year in comparable prices
Chart of retail clothing sales in specialized stores for 2026: volumes in thousand rubles and physical volume index
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 (621 million), Central Federal District (207.1 million), Moscow (83.1 million), Northwestern Federal District (75.4 million), Moscow Oblast (65.1 million). The gap between the largest and smallest is 10,892 times. The top five account for 94.1% of the sum for all items — 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)
The breakdown by row illustrates the scale of trade from the national and federal district levels down to specific subjects, such as the Belgorod Region. Comparing actual revenue in thousand rubles with the physical volume index helps identify the drivers of sales changes. The year-on-year percentage indicators account for inflation as they are calculated in comparable prices
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)
There are 50 values in the table out of 50 possible, which is 100% — there are almost no empty cells left
The 2026 data reflects the current state of the retail clothing market. Regional and district-level information is useful for retailers, economists, and light industry representatives to analyze consumer demand. Data are updated in accordance with the official Rosstat statistical publication schedule
How it is calculated
Turnover per capita shows where the buyer is solvent and whether it is worth opening a point, and where the market is already saturated
Rosstat specifies: 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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