Germany monthly truck toll mileage, seasonally adjusted
Germany monthly truck toll mileage, seasonally adjusted stood at 96.7 in Sep 2026, according to Deutsche Bundesbank, Statistisches Bundesamt (Destatis) and RWI / Institute of Shipping Economics and Logistics (ISL). It is one of the indicators in the Freight activity indicators table (Value · Monthly), with a complete series running from Jan 2005 to Sep 2026. The complete series with an interactive chart, free to download.
This indicator in the Freight activity indicators table
| Indicator | 09-2026 | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Truck toll mileage index | |||||||||||
| Seasonally and calendar adjusted | 96.7 | 95.9 | 95.3 | 94.5 | 96.1 | 94.6 | 95.1 | 95.3 | 94.7 | 96.4 | |
| Unadjusted | 100.6 | 88.6 | 100.5 | 99.4 | 90.8 | 95.3 | 104.3 | 91.6 | 88.3 | 82.3 |
Understanding germany monthly truck toll mileage, seasonally adjusted
Filtering out calendar-driven anomalies, this indicator tracks the underlying momentum of heavy road haulage across the national motorway system. By mathematically removing the effects of varying working days, public holidays, and regular seasonal fluctuations, the seasonally and calendar adjusted series isolates true shifts in freight demand. This transformation distinguishes it from the unadjusted mileage figures, providing a clearer view of whether road transport activity is structurally expanding or contracting independent of the time of year. It remains restricted to heavy goods vehicles liable for the toll, acting as a real-time gauge for the movement of industrial and consumer goods.
The adjustment process makes this specific series the appropriate choice for sequential month-on-month comparisons, revealing shifts in the business cycle earlier than official production statistics. Users must note that the statistical filters used to calculate these adjustments are frequently re-estimated, meaning historical points can be revised even if the underlying toll raw data is unchanged. Sudden shocks to the logistics chain can temporarily distort the seasonal adjustment algorithms, leading to elevated volatility in initial prints. Additionally, changes in the base year will shift the entire level of the series without altering the fundamental rate of change between periods.
Frequently asked questions
- Can this adjusted figure be used to calculate total physical fuel consumption?
- The mathematical smoothing removes the actual distance variations needed to estimate real-world fuel usage, making the unadjusted raw data better for environmental calculations.
- Why do historical values in this series sometimes change?
- The seasonal adjustment models are periodically updated with new data, which can retroactively smooth past fluctuations differently.
- Are weekends completely removed from this calculation?
- The statistical adjustment compensates for the number of non-working days in a month, meaning a period with more weekends will not artificially depress the resulting index value.