How to Analyse Absence Data for Better Workforce Decisions

Absence data analysis (and absenteeism data analysis more broadly) matters because it helps you identify the root causes of absenteeism. It also helps you forecast staffing gaps and target wellbeing interventions before problems escalate. Absenteeism affects productivity, morale, and costs. Absence patterns often point to deeper issues like stress or disengagement.

Mental wellbeing has a particular impact on retention levels. In 2025, 25% of UK employees said their job had a negative impact on their mental health, while 24% said it negatively affected their physical health. 69% of employees who felt their workload was far too much said their job had harmed their mental health.

Analysing these patterns helps businesses identify root causes, support wellbeing initiatives, and plan ahead to avoid costly staffing gaps. HR platforms that can spot and forecast trends turn your data into a genuine planning tool.

To get a complete picture, you need to track more than sickness. The main categories are:

• Sickness absence: split into short-term (typically one to seven days) and long-term (eight days or more) so you can target interventions at the right level
• Holiday and planned leave: essential for resource planning and avoiding bottlenecks
• Other leave types: parental leave, compassionate leave, and any other categories relevant to your organisation

Why does this matter? Because absence isn’t isolated - it interacts with workload, wellbeing, and retention. If you only track sickness, you miss the bigger picture. Holiday requests will tend to peak in July and August, creating potential resource gaps if not managed effectively.

When absence analysis is done well, it changes how HR operates. It helps HR move from firefighting to planning, uncovering wellbeing risks early, avoiding compliance issues, and preparing for seasonal peaks.  As Zoe Wilson, Director of ReThink HR (independent HR consultancy) says in Episode 5: Strategic Workforce Management of our Do the Best Work of Your Life series:

"Workforce management is about having the right people, at the right time, in the right place. You need to know their skills, their availability, keep them engaged, and make sure they’re ready to work."

Flexibility matters too. CIPD research shows that 80% of employees say flexible working has improved their quality of life, yet access to it remains uneven. For frontline and non-remote workers, flexibility around shift patterns and start and finish times is often what makes the biggest difference. In larger organisations, coordinating this across teams is complex. An integrated workforce management system gives managers a single view of availability without the back-and-forth.

Your absence rate tells you what percentage of available working time is lost to absence. Here's the formula:

Absence rate (%) = (Total days absent ÷ Total working days available) × 100

Example: A team of 50 employees each works 230 days per year, giving 11,500 total available days. If the team takes 460 sick days collectively, the absence rate is 4%.

The CIPD's 2025 Health and Wellbeing report puts the overall absence rate at 4.1% of working time lost, with the public sector averaging 13.3 days per employee and the private sector averaging 9.1 days. Benchmarking your rate against these figures tells you whether your absence levels are above or below average for your sector.

What is the Bradford Factor?

The Bradford Factor is a formula used to measure the disruptive impact of frequent short-term absences on an organisation. It gives more weight to repeated short spells than to a single long absence, on the basis that frequent unplanned absences are harder to manage operationally.

Formula: S² × D

• S = the number of separate absence spells in a set period
• D = the total number of days absent in that period

Example: An employee who has three separate one-day absences scores 27 (3² × 3 = 27). An employee who takes one absence of nine days scores 9 (1² × 9 = 9). The first employee's pattern is flagged as more disruptive, even though the total days lost are the same.

Most organisations set a Bradford Factor threshold at which a formal review is triggered.

Visualising absence data makes it easier to share findings with managers and boards, and to spot patterns that raw numbers obscure.

Holiday reporting 

Holiday allowance calculations are a helpful way of comparing how much annual leave your staff have used up with how much they have remaining. This is an especially important report to pull if you are worried about employees carrying an excessive amount of leave into the following year, and need to discuss these concerns with staff. 

Sickness absence statistical report 

Ensure you report on the cost and frequency of sickness absence across your organisation. Absence histograms are a useful way of showing how long staff are off for when sick, so you can measure how disruptive short-term absence is to your organisation. You might also use this report to support a proposed strategy for reducing sickness absence, such as introducing the flu jab to suppress sickness outbreaks in the winter months. 

Monthly bar charts 

Draw on historic data to see the distribution of leave taken by month. This allows you to identify trends and plan ahead for staff shortfalls. To avoid absence clashes, you may need to encourage staff to book holiday evenly throughout the year. This chart provides a starting point for opening up this discussion with line managers. 

Summary pie charts 

Use pie charts to show how leave taken for sickness compares to that taken for holiday. Drill down further by examining more categories like ‘working from home’ or ‘miscellaneous’ leave. Analyse trends across your organisation or by department. Visualise the leave taken by your staff into different categories.

Step 1: Set up structured absence reports

Start with reports that capture the key details: employee information, duration and reason for absence, and cost impact. Using a consistent sickness absence report template makes it easier to compare trends over time. If you're unsure how to do an analysis report of absence data, a good template is the fastest starting point.

Step 2: Use visual dashboards to identify hotspots

Dashboards highlight absence concentrations by department or location. Analysing absence trends this way helps you direct wellbeing initiatives where they're needed most, rather than spreading resources thinly across the whole organisation.

Step 3: Benchmark against industry standards

Comparing your absence data with CIPD benchmarks tells you whether your rates are above or below average for your sector. That context helps you set realistic targets and make the case for investment in absence management.

Step 4: Apply predictive analysis to forecast future trends

This is where absence reporting moves from "what happened" to "what's likely to happen next." Predictive analysis helps you anticipate seasonal spikes and act before gaps appear in your rota.

Manual reporting is time-consuming and prone to error. That's why many organisations use HR software to automate the grunt work.. Platforms like PeopleXD automate reporting, calculate Bradford Factor scores, and provide dashboards that highlight trends. These tools often integrate with payroll and workforce planning systems, saving time and improving accuracy. Workforce absence analytics, tracking patterns across teams, locations, and time periods, is where the real value sits. It's difficult to do reliably without the right tools.

Workforce management software can deliver measurable benefits. PeopleXD , for example, offers one platform for HR, payroll, and workforce planning. It uses AI-driven insights to forecast absence trends rather than just reporting history. Compliance is supported through HMRC recognition, ISO27001 certification, and UK data residency. Implementation typically takes three to six months, making it a realistic option for HR teams looking to improve processes without unnecessary complexity.

One customer shared: "The reports are really useful. They provide real-time information, making it easier to understand trends and anticipate challenges." - Celine, HR Manager from Dublin Port

Once you’ve identified trends through absence data analysis, you can take steps to reduce absenteeism and improve wellbeing. Common strategies include introducing mental health and stress support programmes, offering flexible working arrangements, and running flu jab campaigns during winter to reduce seasonal sickness.

The key is targeting interventions where absence rates are highest to ensure resources are used effectively. For example, if short-term sickness spikes in Q4, consider stress audits and flexible working pilots. If holiday clustering appears in summer, stagger leave approvals to protect service levels.

Accurate absence data analysis is at the heart of strategic workforce planning. Reviewing your current processes and investing in tools that make reporting easier can change how you manage absence across your organisation. Combining reliable sickness absence data with predictive insights helps you reduce absenteeism, improve productivity, and build a healthier workplace culture.

If you’re looking to improve absence management, start by reviewing your data and exploring tools that can help you plan ahead.

Discover how Access Absence Management software can help you reduce absenteeism and improve workforce planning.