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Retail turnover

· snapshot · rows: 15 · periods: 3 · section: Trade (в России. 2025)

Retail trade volume reflects the total value of goods sold through retail networks. This indicator allows for assessing the scale of consumer goods consumption by the population. This dataset presents information on product sales across different periods, facilitating the tracking of demand dynamics for goods and services

Chart showing the annual dynamics of retail trade turnover in Russia

2024 55.8m 2023 48.2m 2022 42.6m 2021 39.5m 2010 16.5m 2023 108.0 2021 107.8 2024 107.7 2010 106.5 2010 100.0 2021 100.0 2022 100.0 2023 100.0 2024 100.0 2022 93.5
how it will look

Set in numbers

15 series, arranged across 3 breakdowns rather than over time. 45 values in total.

“2021” leads the table with 105, “2024” closes it with 94.7.

All table numbers are series: 15
Series Всего — Миллионов рублей (в фактически действовавших ценах)в том числе — торгующих организаций и индивидуальных предпринимателей, осуществлявших деятельность вне рынкав том числе — продажа товаров на розничных рынках и ярмарках
2010 16 512 047,00 14 457 154,00 2 054 893,00
2021 39 472 018,00 37 673 097,00 1 798 921,00
2022 42 577 016,00 40 605 885,00 1 971 131,00
2023 48 155 722,00 46 094 201,00 2 061 521,00
2024 55 791 423,00 53 691 246,00 2 100 178,00
2010 100,00 87,60 12,40
2021 100,00 95,40 4,60
2022 100,00 95,40 4,60
2023 100,00 95,70 4,30
2024 100,00 96,20 3,80
2010 106,50 107,60 99,60
2021 107,80 107,90 104,90
2022 93,50 93,50 95,00
2023 108,00 108,40 99,80
2024 107,70 108,20 94,70

How to read this table

Rows contain data for 2010, 2021, and 2022. Comparing annual values shows changes in purchasing power. For example, in 2010, total turnover was 16512047, while its component was 14457154. These figures serve as a basis for assessing market trends

The same indicator in other breakdowns (1)

More in the section Trade»

Period and application

The data covers the years 2010, 2021, and 2022. Data are updated according to the Rosstat publication schedule. This information is useful for economists, analysts, and business representatives for planning retail strategies and studying the state of the consumer market