Health-Related Absenteeism Rate serves as a critical performance indicator for organizations aiming to enhance workforce productivity and operational efficiency.
High absenteeism can lead to increased costs and diminished employee morale, impacting overall business outcomes.
Tracking this KPI allows organizations to identify trends and implement strategies that improve employee health and engagement.
By focusing on absenteeism, companies can better align their workforce management with strategic goals, ensuring a healthier, more productive environment.
Effective management of this metric can also lead to significant ROI through reduced healthcare costs and improved employee retention.
Health-Related Absenteeism Rate sits inside the Health Programs KPI group, a large roster of 46 metrics. Its priority of 2 puts it near the very top of that group, just behind Disability Adjusted Life Years (DALYs) and ahead of Workplace Injury Rate, Occupational Disease Rate, and Return to Work Rate After Illness or Injury, so this is one of the group's headline metrics rather than a supporting one. It sits on the internal process perspective of the balanced scorecard, and it reads as a lagging measure: by the time an instance of absence is logged, the underlying health event has already happened, unlike the growth-perspective engagement metrics further down the roster. That creates a real tension with Chronic Disease Management Program Enrollment, a growth-perspective metric at priority 6. Successfully growing enrollment in a chronic disease program often means surfacing conditions employees were previously managing quietly, which can raise short-term absence, appointments, treatment days, before the program's long-term benefit shows up as lower absenteeism. A health program that is working as intended can therefore make this rate look worse before it looks better.
The formula divides health-related absenteeism instances by total workdays, but both sides of that fraction hide choices that need to be fixed before the number means anything. Instance data usually lives in the payroll or HRIS leave module, coded by absence reason, while any occupational health case management system or EAP data covering mental health absence often sits in a separate system entirely; if the two are not reconciled, mental health-related absence can go undercounted because it never reaches the payroll leave code. Decide up front whether health-related includes only full-day sick leave, or also intermittent FMLA, partial-day medical appointments, and short-term disability, and hold that definition constant across reporting periods. The denominator needs the same discipline: total scheduled workdays should reflect the actual eligible population for that period, adjusted for new hires, terminations, and part-time schedules, not a flat headcount times a standard workweek. Segmentation matters most by department and role, since frontline or physically demanding roles typically carry different health-related absence patterns than desk-based roles, and by enrollment status in the group's own Chronic Disease Management Program, which lets the organization see whether program participants trend differently from non-participants. Watch for two instrumentation traps specifically: self-reported absence codes are notoriously inconsistent, since employees and managers often default to a generic personal or other code rather than a health-specific one, understating the rate; and overlap with Workplace Injury Rate, since an absence following a workplace injury can get coded as both a health-related absence and an injury-related one, double-booking the same event into two different KPIs in the same group unless the coding rules explicitly carve one out of the other.
Many organizations overlook the impact of workplace culture on absenteeism, leading to misaligned strategies.
Addressing health-related absenteeism requires a proactive approach focused on employee well-being and engagement.
We have 4 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | range | workforce | multiple industries | United States |
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Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | full‑time workers | 2023 | full‑time workers | United States (various industries) | United States |
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Source Excerpt: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | 2023 | workforce | all industries | United States |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | aggregated absence | work settings and school settings |
Browse the Top Benchmarked KPIs in Health Programs
Four sources track this metric, and they do not define it the same way, so treat any single figure with caution. ScheduleLeave reports a range rather than a point figure, drawn from a general workforce population across multiple US industries. Leapsome and OnPay both anchor to 2023 and both report averages, but Leapsome tightens its population to full-time workers specifically, while OnPay's population is described more loosely as workforce across all industries, a difference that matters because part-time and contingent staff typically show different attendance patterns and are easy to include or exclude inconsistently. AIHR is the outlier: its population is described as aggregated absence across both work settings and school settings, meaning the underlying dataset blends employment-based absence with attendance data from an entirely different context. A figure built that way is not a clean read on workforce absenteeism no matter how it is presented. Before trusting any number pulled from these sources, customers should verify what counts as health-related (sick days only, or also intermittent leave, medical appointments, and mental health days), whether the denominator is scheduled workdays for the full workforce or only for a leave-eligible subset, and whether the reporting window is a single year, as with Leapsome and OnPay, or an unspecified multi-year blend, as with ScheduleLeave and AIHR, since a metric this sensitive to seasonal illness patterns can shift meaningfully depending on which months are captured.
This KPI is named directly in the Health Programs group's own OKR material. The objective to reduce health-related workforce disruptions by improving workplace safety and absenteeism includes a key result to cut Health-Related Absenteeism Rate on a defined near-term timeline, alongside lowering Workplace Injury Rate, decreasing Occupational Disease Rate, and raising Return to Work Rate After Illness or Injury on a similarly tight schedule. The stated rationale treats these four as a single cycle: fewer injuries and occupational illnesses reduce the absences that feed this rate, and a faster return-to-work process closes the loop by restoring capacity once an absence does occur. The group's best-practice guidance reinforces combining all three, injury rate, absenteeism rate, and return-to-work rate, into one program rather than managing absenteeism in isolation. A team adopting this objective might frame an illustrative goal such as trimming the rate by a couple of percentage points over the coming year while tracking return-to-work speed in parallel, treating the two as a matched pair rather than reporting improvement on one while the other stalls.
This KPI is associated with the following categories and industries in our KPI database:
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A healthy absenteeism rate typically falls below 5%. Rates above this threshold may indicate underlying issues that need addressing.
High absenteeism can lead to decreased productivity and increased costs. It often results in overworked employees and can harm team morale.
Management significantly influences absenteeism through workplace culture and support. Effective leadership can foster an environment that reduces absenteeism.
Yes, wellness programs can significantly reduce absenteeism. They promote employee health and engagement, leading to lower absenteeism rates.
Regular monitoring is essential; monthly reviews are recommended. This allows organizations to identify trends and implement timely interventions.
Absolutely. Higher absenteeism often correlates with lower employee engagement. Engaged employees are less likely to take unnecessary leave.
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