Freight transport and freight turnover of industrial railway transport, 2000–2023
Millions of tonnes of freight transported and billions of tonne-kilometres of freight turnover on industrial rail transport are reflected in these statistics for the period 2000 to 2023. Two table rows allow for comparing physical transport volumes with network intensity, expressed in tonne-kilometres. The information covers the entire country on an annual basis, enabling the tracking of changes in industrial rail infrastructure production loads over twenty-three years
Chart of industrial rail freight transport and turnover from 2000 to 2023
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
2 series, arranged across 6 breakdowns rather than over time. 10 values in total.
The table is 83% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.
All table numbers are series: 2
| Series | 2000 | 2010 | 2021 | 2022 | 2023 | 2023 |
|---|---|---|---|---|---|---|
| Пеpевозки гpузов, млн т | 3 140,00 | 3 272,00 | 2 995,00 | 2 879,00 | 2 886,00 | — |
| Гpузообоpот, млpд т×км | 24,90 | 108,10 | 39,80 | 46,80 | 46,70 | — |
How to read this table
Indicators are grouped by the type of physical measure of transport activity: the first row records the mass of goods moved in millions of tonnes, while the second records freight turnover in billions of tonne-kilometres. Comparing these series helps determine the relationship between the physical weight of goods transported and the distance delivered. If transport volumes in tonnes decrease while turnover remains stable, it indicates an increase in the average transport distance per unit of cargo on industrial rail lines
The same indicator in other breakdowns (1)
More in the section Russian Statistical Yearbook»
Period and application
The statistics cover the period from 2000 to 2023 and are updated as data from the Russian Statistical Yearbook is released. This information is useful for logisticians, transport sector analysts, and industrial enterprises to assess the intensity of internal rail network utilization. The reference values allow for comparing industrial transport efficiency across different periods of the country's economic development, based on official Rosstat figures
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