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Wholesale trade turnover

· snapshot · rows: 4 · periods: 4 · section: Trade (в России. 2023)

Each Russian region is represented by a separate row showing two key indicators: wholesale trade turnover in current prices in billions of rubles and the annual change in wholesale trade turnover in constant prices as a percentage of the previous year. These values allow for comparing the scale and growth rates of wholesale trade across different federal subjects

Wholesale trade turnover in Russia in 2010, 2020, and 2021: comparison of regions by trade volume and growth rate

2022: 34.2% 202234.2% · 117,466 2021: 31.8% 202131.8% · 109,487 2020: 24.7% 202024.7% · 84,848 2010: 9.35% 20109.35% · 32,154 343,954
how it will look

Set in numbers

This is a cross-section: 4 series across 4 breakdowns. 16 values in total.

“2021” leads the table with 103, “2022” closes it with 83.6.

All table numbers are series: 4
Series Оборот оптовой торговли — млрд руб. (в фактически действовавших ценах)Оборот оптовой торговли — в процентах к предыдущему году (в сопоставимых ценах)в том числе оборот организаций оптовой торговли — млрд руб. (в фактически действовавших ценах)в том числе оборот организаций оптовой торговли — в процентах к предыдущему году (в сопоставимых ценах)
2010 32 153,50 103,00 25 955,60 99,90
2020 84 847,90 100,60 67 616,40 101,90
2021 109 486,80 105,30 85 438,30 103,10
2022 117 466,10 83,30 92 069,90 83,60

How to read this table

The first column reflects the absolute volume of trade in current prices, which varies by more than a thousand times between the largest and smallest regions. The second column shows the annual relative change in constant prices, helping to identify regions with rapid growth or decline in trade activity. For accurate analysis, it is important to consider both indicators simultaneously

The same indicator in other breakdowns (1)

More in the section Trade»

Period and application

Data is provided for 2010, 2020, and 2021. Updates are made as Rosstat publishes new statistical yearbooks, typically with a delay of several months after the end of the reporting period. This information is useful for analyzing regional economic activity, forecasting trade trends, and making management decisions