From 2020 to 2022, the country sold timber that was longitudinally sawn, split, sliced, or peeled, with a product thickness of 6 mm or more. The list contains 73 rows, including the Russian Federation and individual constituent entities, such as Belgorod and Bryansk regions. Measurements are in thousands of cubic meters, with data collected annually
Chart of sawn timber sales in Russia and its regions from 2020 to 2022, thousands of cubic meters
Who grew, who fell: 2020 → 2022
Set in numbers
Rosstat data for 2020–2022. Series: 73, period: 3. Measurement unit — thousand cubic metres. Table rows: Russian Federation; Belgorod Region; Bryansk Region; Vladimir Region; Voronezh Region and others
Russian Federation: the indicator fell from 4,712 to 4,378 over 2020–2022 — by 7.08%. Of the 25 largest series, 15 rose, 10 fell
The rows in the list allow for comparing the indicators of specific regions with the national level. One can track how sales volumes in the Belgorod or Bryansk regions changed relative to the national average. As the data is annual, each region is represented by three values for the specified period, making it possible to assess sales dynamics in each individual entity
What is visible in these numbers
Five highest values: Russian Federation (4,712), Vladimir Region (300.9), Vologda Region (274.7), Arkhangelsk Region (141.5), Komi Republic (128.5). The gap between the highest and lowest is 1,428 times. The top five account for 85.3% of the total across all entries — the distribution is heavily skewed toward the top
Observations are annual and cover 3 periods. Of 75 cells with numbers, 75 (100%) are filled, meaning the table is almost entirely complete
The statistics cover the period from 2020 to 2022. The information is relevant for analyzing the sawn timber market and wood trade in the regions. Rosstat data on the sale of timber with a thickness of 6 mm or more helps to estimate the volume of products available on the market over these three years
How it is calculated
Trade indicators are used to assess market capacity, plan inventory levels, and compare regions by purchasing power
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