Retail trade turnover by form of ownership, 2000–2023
The breakdown of retail turnover into state, private, and other forms of ownership allows for tracking market changes over twenty-four years. Columns show annual indicators from 2000 to 2023, while rows are categorized by specific types of asset ownership. Data is presented in current prices and covers the entire country
Chart of retail turnover by forms of ownership from 2000 to 2023, at current prices
See also
- Divorces in Russia by year long time series by year
- Marriages in Russia by year long time series by year
Set in numbers
This is a cross-section: 6 series across 6 breakdowns. 30 values in total.
“Private ownership” leads the table with 89.6, “State and municipal ownership” closes it with 0.6. The gap between them is 149-fold.
All table numbers are series: 6
| Series | 2000 | 2010 | 2021 | 2022 | 2023 | 2023 |
|---|---|---|---|---|---|---|
| Государственная и муниципальная собственность | 98,70 | 216,70 | 246,80 | 269,30 | 284,20 | — |
| Частная собственность | 1 949,80 | 13 937,70 | 32 825,40 | 37 496,30 | 43 148,20 | — |
| Другие формы собственности | 303,80 | 2 357,60 | 6 399,80 | 4 811,40 | 4 723,30 | — |
| Государственная и муниципальная собственность | 4,20 | 1,30 | 0,60 | 0,60 | 0,60 | — |
| Частная собственность | 82,90 | 84,40 | 83,20 | 88,10 | 89,60 | — |
| Другие формы собственности | 12,90 | 14,30 | 16,20 | 11,30 | 9,80 | — |
How to read this table
Sales volumes can be compared across rows representing state and municipal ownership, the private sector, and other forms of ownership. This helps determine the market share held by the state versus private individuals and organizations. The columns show how the structure of retail turnover in Russia has transformed over two decades
What is visible in these numbers
Only 83% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
More in the section Russian Statistical Yearbook»
Period and application
Data is collected as part of the Russian Statistical Yearbook. This information is relevant for analyzing market conditions and the distribution of ownership in the trade sector. Rosstat statistics are suitable for studying long-term trends in the retail sector of the economy
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