Germany truck toll mileage index, seven-day moving average
Germany truck toll mileage index, seven-day moving average stood at 96.3 on Oct 7, 2026, according to Deutsche Bundesbank, Statistisches Bundesamt (Destatis) and Kiel Institute for the World Economy. It is one of the indicators in the High-frequency activity indicators table (Value · Daily), with a complete series running from Jan 4, 2008 to Oct 7, 2026. The complete series with an interactive chart, free to download.
This indicator in the High-frequency activity indicators table
| Indicator | 10-10-2026 | 09-10-2026 | 08-10-2026 | 07-10-2026 | 06-10-2026 | 05-10-2026 | 04-10-2026 | 03-10-2026 | 02-10-2026 | 01-10-2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Truck toll mileage index | |||||||||||
| Seven-day moving average of the adjusted index | 96.3 | 95.5 | 96.6 | 96.6 | 96.5 | 96.6 | 95.6 | ||||
| Adjusted index, change from previous day | 0.4 | 1.9 | -2.5 | -0.2 | -7.9 | 16.2 | -0.4 | -12.5 | 10.9 | -2.9 |
Understanding germany truck toll mileage index, seven-day moving average
Rolling aggregation of the daily freight activity measure, calculated by averaging the adjusted index values across the immediately preceding week. This specific metric smooths out residual volatility that survives the initial seasonal adjustment process, offering a more stable view of the underlying logistics trend than the single-day readings. It acts as a bridge between high-frequency daily noise and slower-moving monthly industrial statistics. The calculation continuously shifts forward by one day, maintaining the base year reference defined in the metric's unit while blending a full week's worth of commercial road transport behaviour into a single, less erratic data point.
Utilising a moving average alters the timing of turning points, as any sudden shift in actual heavy goods vehicle traffic takes a full week to be completely reflected in the calculation. This means the series inherently lags the pure daily adjusted index but provides a much more reliable signal of shifting economic momentum by filtering out isolated daily anomalies. Analysts favour this format for assessing the medium-term direction of industrial demand without waiting for official monthly production statistics. Care must be taken when matching these figures against precise daily events, as the mathematical averaging process spreads the impact of a single-day disruption across seven consecutive published observations.
Frequently asked questions
- Does a sharp drop in traffic on a single weekday immediately dominate this moving average?
- A single-day anomaly influences the metric but its overall impact is diluted because it is blended with the surrounding six days of ordinary activity.
- Why use a rolling average instead of the daily adjusted figures?
- The rolling calculation filters out residual day-to-day noise, making it easier to identify the broader direction of industrial logistics demand over time.
- Is the seven-day period calculated on a strict calendar week basis?
- The metric rolls forward continuously, meaning each new daily publication represents the average of that specific day and the six days immediately preceding it.