Germany 1-year inflation expectations, median, winsorised
Germany 1-year inflation expectations, median, winsorised stood at 3% in Sep 2026, according to Deutsche Bundesbank. It is one of the indicators in the Inflation and consumer expectations table (Value · Monthly), with a complete series running from Apr 2019 to Sep 2026. The complete series with an interactive chart, free to download.
This indicator in the Inflation and consumer expectations table
| Indicator | 09-2026 | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Median | |||||||||||
| 1 year Inflation HICP Germany total Monthly Winsorisierung at 2nd and 98th percentile | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2.5 | 2.5 | 2.5 | |
| 1 year Inflation HICP Germany total Monthly Trimmed at -12%, +12% | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2.5 | 2.5 | 2.5 |
Understanding germany 1-year inflation expectations, median, winsorised
Captures the aggregate view of all German households regarding the expected path of the Harmonised Index of Consumer Prices over the coming year. This specific aggregate applies winsorisation at the 2nd and 98th percentiles, capping extreme outlier responses at those exact boundary values rather than discarding them entirely. Unlike the trimmed counterparts that outright delete the highest and lowest predictions, this method retains the full sample size while mitigating the skew from statistically implausible inflation forecasts. It covers the entirety of the sampled population regardless of demographic groupings.
Survey results are published unadjusted for seasonal variations, making sequential monthly changes the standard method for observing shifts in consumer sentiment. Because these figures rely on direct household interviews, the data is typically final upon release and escapes the routine revision cycles seen in official macroeconomic aggregates. Analysts must be careful when benchmarking this household median against realised inflation prints, as subjective expectations routinely run systematically higher or lower than the actual harmonised index. The winsorised nature means shifts in the very tails of the distribution still influence the measure slightly more than in a purely trimmed dataset.
Frequently asked questions
- How does winsorising change the final median expectation?
- Capping extreme values at the 2nd and 98th percentiles prevents severe outliers from skewing the results while preserving the total number of survey responses.
- Are these figures revised in subsequent months?
- Survey-based qualitative balances and expected rates are generally locked in once the monthly wave concludes, avoiding retrospective adjustments.
- Can this measure be compared directly to actual price indices?
- It contrasts perceived future price changes against formal consumer price statistics, highlighting the gap between official metrics and public sentiment.