Employee Absenteeism Drivers
A focused view of how absence hours concentrate across age, gender, departments, tenure, and the overall leave distribution.
Workforce Covered
Total Absence Hours
Zero-Hour Employees
What stands out
Age β = +0.85
Gender β = -0.17
- Age is the strongest driver in the model. Average absence hours climb steadily across every age band and accelerate sharply after mid-career.
- The gender gap is directionally consistent with the model result: males average fewer absence hours than females, and the same pattern persists across several high-volume shared job titles.
- Department concentration is pronounced. Customer Service, Dairy, and Meats account for the largest blocks of total absence hours, making them the most important operational hotspots.
- Tenure is not a straight-line story: newer employees carry the highest average absence levels, then the average declines meaningfully at longer service lengths.
At a glance
Female vs male average
Top department
Right-tail threshold
90th percentile of individual absence hours
AbsentHours distribution
Zero-inflation on the left, long right tail through 300 hours
Department concentration
Bars show total hours; line shows cumulative share of all absence hours
Age trend
Average absence hours by age band, highlighting the strongest model driver
Tenure trend
Newest employees sit above the overall average before the profile tapers down
Gender gap within shared job titles
Common roles with meaningful female and male representation
Top department detail
| Department | Total Absent Hours | Avg Hours / Employee | Employees | Share of Total |
|---|