In 2026, retail trade of cosmetics and perfumes recorded sales of 390156606.4 thousand rubles nationwide. The table presents data for the Russian Federation, federal districts, and individual constituent entities, including the Belgorod Region. Rows allow for comparison of indicators across different territories, while columns reflect actual revenue volume in thousands of rubles and the volume index as a percentage of the previous year in constant prices
Chart of retail sales of cosmetics and perfumes by Russian regions in 2026
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 (390.2 million), Central Federal District (147.6 million), Moscow (81.2 million), Northwestern Federal District (55.2 million), Moscow Oblast (33 million). The gap between the largest and smallest is 8,426 times. The top five account for 94.9% 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)
The row structure shows the breakdown of sales, from the total for Russia and federal districts to specific regions and republics. Comparing actual revenue with the volume index reveals the drivers of sales changes in constant prices. The list contains 96 rows, allowing for the monitoring of the situation across different parts of the country for a single reporting period
What is visible in these numbers
What is measured: Actually sold, thousand rubles; as a % of the corresponding period of the previous year (in comparable prices)
Cells with numbers 50 out of 50 (100%) — there are almost no empty cells left
2026 data is published by Rosstat for consumer market analysis. The data is suitable for assessing business activity in the beauty and personal care sector, planning retail product supplies, and studying the purchasing power of the population across various constituent entities of the RF
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
Notes to the table: Excluding statistical information for the Donetsk People's Republic (DPR), Luhansk People's Republic (LPR), Zaporizhzhia 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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