Germany RWI/ISL global container throughput, adjusted
Germany RWI/ISL global container throughput, adjusted stood at 141.86 in Aug 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 2007 to Aug 2026. The complete series with an interactive chart, free to download.
This indicator in the Freight activity indicators table
| Indicator | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Global index | |||||||||||
| Global: seasonally and working-day adjusted | 141.86 | 141.78 | 142.47 | 141.67 | 141.35 | 142.52 | 146.13 | 142.62 | 140.53 | 141.85 | |
| Global: trend-cycle | 142.21 | 141.94 | 141.82 | 141.85 | 141.96 | 142.06 | 142.02 | 141.79 | 141.4 | 140.89 |
Understanding germany RWI/ISL global container throughput, adjusted
Applying statistical filters to global port handling data, this indicator reveals the cyclical trajectory of international maritime trade by stripping out predictable calendar effects. The seasonally and working-day adjusted series neutralizes variations caused by the differing number of weekends, leap years, and major recurring events like global factory closures. This process separates it from the raw handling figures, offering a refined view of whether global container flows are genuinely accelerating or slowing. It provides an early signal for world trade momentum, isolated from the noise of typical inventory stocking cycles.
To gauge immediate shifts in macroeconomic conditions, this adjusted measure is designed for direct month-on-month analysis. It allows economists to detect turning points in global goods demand much faster than lagging customs declarations. However, users must be cautious during periods of extreme supply chain disruption, as irregular shocks cannot be perfectly smoothed by seasonal algorithms and will still appear as sharp monthly spikes or dips. Furthermore, the adjustment models are constantly refined, meaning past index values are subject to revision as new data improves the understanding of underlying seasonal patterns.
Frequently asked questions
- Is this the best series for measuring the actual physical capacity constraints at ports?
- The unadjusted raw data provides a more accurate picture of physical congestion, as the adjusted figures mathematically smooth out the peak cargo bursts.
- How does the adjustment handle the shifting dates of movable global holidays?
- The statistical models specifically account for the moving calendar placement of such events to prevent them from skewing the underlying trend.
- Can this metric diverge from global industrial production?
- Shifts in consumer spending from goods to services can cause container volumes to soften even if heavy domestic industrial output remains stable.