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Germany consumer price index (CPI), seasonally adjusted

Germany consumer price index (CPI), seasonally adjusted stood at 126.5 in Sep 2026, according to Deutsche Bundesbank. It is one of the indicators in the Consumer prices (CPI and HICP) table (Value · Monthly), with a complete series running from Jun 1948 to Sep 2026. The complete series with an interactive chart, free to download.

Source: Deutsche BundesbankLast updated: Curated by Bui Thanh Phuc
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This indicator in the Consumer prices (CPI and HICP) table

Indicator09-202608-202607-202606-202605-202604-202603-202602-202601-202612-2025
Overall index7126.5125.8125.3124.5124.8124.9124.4123.4123.3123
01.1 Food137.1136.7136.5136.3136.5137.3136.8136.4137136.3
04.1 Actual housing rent112.6112.4112.2112111.7111.5111.4111.2111110.9

Understanding germany consumer price index (CPI), seasonally adjusted

Filtered to remove recurring calendar effects, the seasonally adjusted overall consumer price index tracks the smoothed cost progression of the complete domestic household basket. The aggregation includes the full spectrum of goods and services—ranging from food and shelter to transport and entertainment—while mathematically eliminating predictable annual pricing patterns. Unlike its raw counterpart, this refined series suppresses the noise of winter retail sales, summer holiday premiums, and harvest-driven food fluctuations. By stripping out these expected intra-year cycles, the metric isolates the underlying macroeconomic trend of consumer costs, offering a clearer picture of immediate, fundamental price shifts affecting purchasing power across the domestic retail landscape.

Removing seasonal noise fundamentally alters how analysts interpret the data, shifting the focus from annual comparisons to sequential period-on-period movements. Examining the monthly change in this adjusted index provides the fastest possible read on shifting inflationary momentum, uncovering new price pressures long before they become visible in year-on-year rates. Observers must remain cautious of extraordinary, non-repeating shocks—such as sudden tax changes or abrupt geopolitical commodity spikes—which the adjustment algorithms cannot smooth out and will register as sharp deviations. The statistical filters used to generate the series are periodically re-estimated, meaning historical data points in this adjusted time series can undergo minor revisions as the mathematical models adapt to recent calendar patterns.

Frequently asked questions

Why use a seasonally adjusted aggregate measure?
It exposes the true underlying price momentum by erasing expected recurring events like holiday price hikes.
Can I compare this index month-to-month?
Yes, the removal of seasonal distortion makes direct sequential monthly comparisons analytically reliable.
Are historical numbers in this series permanent?
Minor backward revisions happen as the seasonal adjustment models are periodically updated with recent data.

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