This analysis is based on data from companies in West Germany covering the period 2023–2024. It is not intended to derive population-representative conclusions about gender pay dynamics, but rather to illustrate the analytical capabilities of the peopleIX platform using real-world people data. The findings are consistent with selected academic literature, yet reflect solely the state of this particular dataset.
Executive summary
- The workforce is split almost evenly, yet structural differences persist.
- Leadership and management roles are predominantly held by men (in parts up to 80%).
- In 2024 women overtook men in promotion paths — driven above all by Gen Z and Millennials.
- The unadjusted gender pay gap stands at around 19%, especially pronounced in older generations.
- Younger cohorts show smaller or negative pay gaps.
- Across tenure, the compensation gap remains in place.
- Male-dominated job families with higher median compensation amplify the pay gap.
Methodology & data basis
Data basis
- Region: West Germany
- Period: 2023–2024
- Sample: ~4,000 employees
- Companies: cross-industry, modern organizational structures
Analysis dimensions
- Gender
- Age & generation
- Tenure
- Seniority & leadership level
- Job family
- Compensation (monthly contractual salary)
peopleIX note:
All analyses are based on standardized peopleIX data models to ensure comparability across companies.
Gender distribution in the sample
Overall population
- Overall stable gender distribution between 2023 and 2024
- Slight decline in total headcount in 2024 — likely economically driven
Generations
- Decline among Millennials
- Growth among Gen Z and Baby Boomers
- Indication of shifting recruiting and exit dynamics
Age & seniority
- Sharp decline at 1–2 years of tenure
- Increase at 2–5 years
- Slightly rising average age
- Decline among those under 30
General Female Male Population
Gender distribution per quarter (Q1 2023 – Q4 2024)
Q1 2023
Female: 1937
Male: 1841
Q2 2023
Female: 1837
Male: 1782
Q3 2023
Female: 1895
Male: 1852
Q4 2023
Female: 1780
Male: 1746
Q1 2024
Female: 1884
Male: 1830
Q2 2024
Female: 1860
Male: 1822
Q3 2024
Female: 1886
Male: 1892
Q4 2024
Female: 1887
Male: 1822
Gender distribution across hierarchy levels
Leadership & management
- Women are catching up, but still lag roughly two years behind the male trajectory
- 2024 shows a clear turnaround
- Main drivers: Gen Z & Millennials
Top management
- C-level and the first leadership tier are moving toward a 50–50 split
- Majority between 30 and 45 years old (Millennials & Gen X)
Job families & seniority
Entry & retention
- New hires: ~60% female
- Shift in favor of male employees after 2–5 years
- Possible effects of career breaks — detailed cohort analysis required
Job families
- Data / Tech / IT: 85–90% male
- Administration, People, Marketing: ~50–50
- Higher-paid job families remain male-dominated
Gender pay gap analysis
Definitions
- Unadjusted pay gap: ratio of average compensation
- Adjusted pay gap: statistically controlled for role, level, tenure, etc.
⚠️ This report focuses on the unadjusted pay gap.
Overall result
- 15–20% unadjusted gender pay gap
- More compact female salary distribution
- Male distribution with a longer “right tail” of high salaries
Detailed breakdowns
Age & generation
- Clear improvement among younger generations
- Statistically significant differences
- Influence of career decisions and negotiation behavior
Tenure
- No improvement across tenure
- Indication of structural weaknesses in salary progression
Management vs. non-management
- Larger differences among leaders
- Individual contract negotiations amplify inequalities
- Transparency and documentation become essential
Key implications for HR & leadership
- Promotion logic is evolving positively
- Compensation systems are lagging behind
- Job-family segregation reinforces inequality
- Data-driven transparency is becoming a regulatory standard
peopleIX supports audit-ready, fair compensation analyses across all dimensions.
Conclusion
Modern organizations show clear progress in leadership diversity and equity at entry level.
Yet without structured, fair salary progression mechanisms, inequality persists.
People analytics thereby moves from a “nice-to-have” to a strategic and regulatory necessity.

