Germany unemployment rate, men under 25, unadjusted
Germany unemployment rate, men under 25, unadjusted stood at 9.9% in Aug 2026, according to Deutsche Bundesbank, Statistisches Bundesamt (Destatis) and Statistik der Bundesagentur für Arbeit. It is one of the indicators in the Labour market (monthly) table (Value · Monthly), with a complete series running from Mar 2007 to Aug 2026. The complete series with an interactive chart, free to download.
This indicator in the Labour market (monthly) table
| Indicator | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Men | 4.5 | 4.5 | 4.6 | 4 | 4.2 | 4.2 | 4.3 | 4.1 | 4.1 | 4.1 | |
| Men under 25 years | 9.9 | 9.5 | 8.6 | 6.7 | 8.2 | 8.2 | 8.2 | 8.4 | 5.9 | 7.5 | |
| Men 25 years and older | 3.9 | 3.9 | 4.1 | 3.7 | 3.7 | 3.8 | 3.9 | 3.6 | 3.9 | 3.7 |
Understanding germany unemployment rate, men under 25, unadjusted
Young male jobseekers form the absolute boundary of this highly targeted demographic intersection. The formula calculates the ILO-standardised jobless share exclusively for active men who have not yet reached their 25th birthday. By combining a gender filter with a youth filter, the series totally excludes all women and all mature male workers. This creates a hyper-specific view of young men transitioning from education into the workforce, isolating them from the stabilising bulk of the older male population and the differing labour market entry patterns of young women.
Analysts must exclusively deploy year-on-year comparisons for this unadjusted metric, as it combines the extreme volatility of the youth academic calendar with the seasonal swings of male-dominated entry-level jobs. Month-on-month assessments are essentially useless, producing chaotic signals driven entirely by graduation dates and apprenticeship intake schedules. Because this specific demographic cross-section represents a relatively small slice of the overall microcensus sample, early releases can suffer from significant volatility and are highly susceptible to notable retrospective revisions. A classic analytical error is assuming shifts in this highly volatile niche accurately reflect the broader male employment environment.
Frequently asked questions
- Does this calculation account for young men completing mandatory civilian service?
- Those engaged strictly in compulsory service without actively seeking civilian employment are generally classified as economically inactive and excluded.
- Why avoid month-on-month comparisons for this specific group?
- The data suffers from a double seasonal impact, reacting heavily to both the summer education cycle and winter industrial rhythms.
- Is the survey sample size large enough for reliable early estimates?
- The narrow demographic slicing makes the initial sample relatively small, increasing the likelihood and magnitude of subsequent revisions.