German 1-year inflation expectations median, ages 16-39
German 1-year inflation expectations median, ages 16-39 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| By age | |||||||||||
| 1 year Inflation HICP Germany age 16 to 39 Monthly Trimmed at -12%, +12% | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2.3 | 2.4 | 2.5 | |
| 1 year Inflation HICP Germany age 40 to 59 Monthly Trimmed at -12%, +12% | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2.5 | 2.5 | 2.5 |
Understanding german 1-year inflation expectations median, ages 16-39
This metric isolates the one-year anticipated inflation rate for German residents between the ages of 16 and 39. To construct this demographic-specific median, the underlying dataset is trimmed symmetrically at the upper and lower 12 percentiles, stripping out the most extreme quarter of responses before calculating the central tendency. By focusing exclusively on younger adults and early-career individuals, the series filters out the consumption habits and price sensitivities of older cohorts. It provides a targeted view of how households newly entering the workforce or forming independent living arrangements project future living costs.
Because the respondent pool is constrained to a specific age bracket, period-to-period fluctuations can appear slightly more erratic than the headline national average. It is advisable to evaluate changes on a rolling basis rather than over-interpreting a single monthly movement, as the smaller sample size amplifies sampling noise. The data lacks seasonal adjustment, so comparing expectations against actual youth-heavy expenditure categories requires careful alignment of the survey wave with the respective pricing period. There are no ex-post revisions, meaning the raw sentiment captured during the interview window remains permanent on the record.
Frequently asked questions
- Why are the top and bottom 12% of answers removed?
- Applying a symmetric trim eliminates outlier guesses that might otherwise distort the central consensus of the younger cohort.
- Does this demographic normally anticipate higher inflation than older groups?
- Different age bands often hold diverging views on future prices based on their distinct spending patterns and financial experience.
- Should analysts use yearly or monthly comparisons for this series?
- Sequential monthly readings track immediate shifts in young consumer sentiment, though smoothing the data helps manage volatility.