Germany HICP consumer price index, seasonally adjusted
Germany HICP consumer price index, seasonally adjusted stood at 103.8 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 Jan 1997 to Sep 2026. The complete series with an interactive chart, free to download.
This indicator in the Consumer prices (CPI and HICP) table
| Indicator | 09-2026 | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall index, Adjusted to the annual averages of the calendar-adjusted5 | 103.8 | 103.2 | 102.9 | 102.2 | 102.4 | 102.6 | 102.2 | 101.3 | 101.1 | 100.8 | |
| Food incl. alcohol and tobacco, Adjusted to the annual averages of the unadjusted | 101.9 | 101.6 | 101.6 | 101.3 | 101.5 | 101.7 | 101.5 | 101.1 | 101.1 | 100.6 | |
| Industrial goods excluding energy, Adjusted to the annual averages of the unadjusted | 102.3 | 102.1 | 101.7 | 101 | 101.1 | 100.8 | 100.7 | 100.5 | 100.4 | 100.1 |
Understanding germany HICP consumer price index, seasonally adjusted
Aggregates the entire harmonised basket of goods and services consumed by households, mathematically smoothed to eliminate regular seasonal fluctuations. It encompasses everything from volatile energy and seasonal food to housing rents, industrial products, and services. As the broadest adjusted measure available under this methodology, it ensures that every category contributes according to its current weight in average national expenditure. The seasonal adjustment algorithm strips out predictable variations, such as winter energy demand spikes and summer holiday pricing, distinguishing this series from its raw unadjusted sibling. Furthermore, it is calibrated to align with the annual averages of calendar-adjusted data, maintaining consistency across longer horizons.
By removing recurring seasonal noise, this series is explicitly designed to make month-on-month comparisons meaningful, allowing observers to detect sudden shifts in the broader inflationary environment without waiting a full year. However, the smoothing process means the figures do not match the exact prices consumers face at the till in any given month. The adjustment models are frequently recalibrated, meaning recent historical values are subject to routine revisions as new data refines the estimated seasonal patterns. Users comparing this against national definitions should note that it excludes owner-occupied housing costs, a key methodological divergence that separates broad consumer price gauges.
Frequently asked questions
- Why do the figures here differ from the national consumer price index?
- The harmonised methodology uses a slightly different basket weight structure and excludes domestic concepts like imputed rents for homeowners.
- Are the most recent monthly figures final?
- No, because the seasonal adjustment algorithms update their estimates as new data arrives, recent months are subject to routine revisions.
- Does the seasonal adjustment remove the impact of a sudden energy crisis?
- It removes predictable winter demand peaks, but unexpected price shocks in global energy markets remain fully visible in the data.