Workforce Headcount Dashboard

The Workforce Headcount dashboard helps you track and analyse workforce size, composition, and cost across your organisation. Use this dashboard to monitor headcount, FTE, active jobs, workforce demographics, remuneration spend, and organisational structure to support workforce planning and budget management.

This dashboard is designed for HR leaders, workforce planning analysts, and finance teams who need to understand current workforce composition, track growth or reduction trends, and analyse workforce costs by organisational segment.

To request a demo or explore other Analytics capabilities, reach out to your account manager.

Top Line KPI Metrics

The dashboard displays ten key performance indicators organized in two rows that provide a comprehensive view of workforce composition and cost:

Row 1 - Workforce Size and Composition:

Headcount – Total number of unique active employees. Counts each person once regardless of how many jobs they hold. Measures your actual workforce population.

FTE (Full-Time Equivalent) – Total workforce capacity adjusted for part-time and casual employment. Calculated by summing FTE percentages across all active jobs. A full-time employee contributes 1.0 FTE, while a 0.5 FTE part-time employee contributes 0.5 FTE. Measures available workforce capacity.

Jobs – Total number of active job positions across the organization. Employees can hold multiple jobs (e.g., dual roles, split positions), so job count may exceed headcount. Measures total active positions.

Workforce Gender Split (Female %) – Percentage of active workforce identifying as female. Calculated as female headcount divided by total headcount. Measures workforce gender diversity.

Row 2 - Workforce Characteristics and Cost:

Average Age – Mean age of active workforce calculated from employee birth dates. Indicates workforce age profile and helps identify generational composition.

Span of Control – Average number of direct reports per manager. Calculated by dividing total employees with supervisors by total managers. Indicates management structure density and organisational flatness.

Average Tenure – Mean length of service for active employees measured in years from hire date. Indicates workforce stability and experience levels.

Annualised Remuneration (Base) – Total annualized base salary across all active jobs. Represents fixed payroll obligations excluding bonuses, allowances, and variable pay. Calculated by annualizing base salary based on pay frequency.

Annualised Remuneration (Total) – Total annualized compensation including base salary and all additional pay components (bonuses, allowances, overtime, commissions). Represents total payroll obligations. Calculated by annualizing total remuneration based on pay frequency.

Gender Pay Gap – Percentage difference between average male and female hourly rates. Calculated as (average male rate - average female rate) / average male rate × 100. Positive values indicate males earn more on average, negative values indicate females earn more. Measures gender pay equity.

Visualisations

The dashboard is organised across three tabs providing different perspectives on workforce composition.

Filters

Use filters to narrow your analysis to specific time periods, employee segments, organizational units, or employment types:

Date-based filters:

• Date (default: last 365 days) – Filter data by specific date ranges to analyze workforce composition over time

Organizational filters:

• Business Entity – Filter by legal entity or company
• Business Unit – Filter by department or division
• Location – Filter by office, region, or geographic location
• Supervisor Name – Filter by reporting manager to analyze team composition
• Supervisor Status – Filter by manager employment status

Job characteristics:

• Position Title – Filter by role or job title
• Pay Grade – Filter by salary band or grade level
• Employment Condition – Filter by employment type (full-time, part-time, casual, contractor)
• Work Class – Filter by work classification category
• Work Type – Filter by work arrangement (permanent, temporary, fixed-term)
• Work Right – Filter by visa or work authorization status
• Probation Status – Filter by probationary period status
• FTE – Filter by full-time equivalent percentage

Demographic filters:

• Age Group – Filter by employee age bands (16-24, 25-34, 35-44, 45-54, 55-64, 65+)
• Gender – Filter by employee gender
• Tenure Cohort – Filter by length of service bands (0-1 years, 1-2 years, 2-5 years, 5-10 years, 10+ years)
• Leave Type – Filter to analyze workforce composition for employees on specific leave types

Deep Dive Options

The Deep Dive tab includes a dynamic parameter called Show Deep Dive By that lets you slice all visualisations by different dimensions. Select from these options to compare workforce composition across segments:

• Business Entity
• Business Unit
• Department
• Location
• Supervisor Name
• Position Title
• Pay Grade
• Employment Condition
• Age Group
• Gender
• Tenure Cohort
• Custom fields for Employees

This parameter updates all Deep Dive visualisations simultaneously, making it easy to identify workforce distribution patterns, compare costs across organisational units, or analyse demographics by location or department.

Understanding Key Calculations

Headcount vs Jobs vs FTE

These three metrics measure workforce size from different perspectives:

Headcount counts unique individuals. Each person is counted once regardless of how many positions they hold. Use headcount for workforce demographics, benefit planning, and people-based metrics. A person with two part-time jobs contributes 1 to headcount.

Jobs counts active positions. Employees with multiple roles contribute multiple jobs. Use jobs for understanding organisational structure, position distribution, and role-based analysis. A person with two part-time jobs contributes 2 to jobs.

FTE measures workforce capacity. Calculated by summing FTE percentages across all jobs. A 1.0 FTE full-time job contributes 1.0, while a 0.5 FTE part-time job contributes 0.5. Use FTE for capacity planning, workload analysis, and productivity metrics. A person with two 0.5 FTE part-time jobs contributes 1.0 to FTE.

Example: An employee working two part-time jobs (0.6 FTE and 0.4 FTE) contributes:

• Headcount: 1 (one person)
• Jobs: 2 (two positions)
• FTE: 1.0 (0.6 + 0.4 combined capacity)

Active Job Definition

All metrics on this dashboard use active jobs as the basis for calculation. A job is considered active when:

• The job start date is on or before the analysis date
• The job end date is null (ongoing) OR after the analysis date
• The job has not been marked as terminated or inactive

This ensures metrics reflect current workforce state and exclude historical or future-dated positions.

Gender Pay Gap Calculation

Gender Pay Gap measures the percentage difference between average male and average female hourly rates of pay:

Formula: (Average Male Hourly Rate - Average Female Hourly Rate) / Average Male Hourly Rate × 100

• Positive values indicate males earn more on average (e.g., +10% means males earn 10% more)
• Negative values indicate females earn more on average (e.g., -5% means females earn 5% more)
• Zero indicates equal average rates

The calculation uses base hourly rates (excluding bonuses and overtime) for all active jobs where gender is recorded as male or female. Jobs with undisclosed, non-binary, or other gender values are excluded from this calculation.

Note: Gender pay gap measures average rate differences across the entire workforce. Differences can result from various factors including role distribution, tenure, experience levels, and pay equity issues. Use Deep Dive options to analyse gaps within specific job categories or levels for more targeted analysis.

Span of Control

Span of Control measures the average number of direct reports per manager:

Formula: Total Employees with Supervisors / Total Managers

• Only includes employees who have an assigned supervisor
• Only includes supervisors who manage at least one direct report
• Calculated from current reporting relationships for active jobs

Higher spans indicate flatter organisational structures where managers oversee more direct reports. Lower spans indicate taller hierarchies with more management layers. Typical span of control ranges from 5-10 direct reports depending on industry, role complexity, and organisational structure.

Tenure Cohorts

Tenure measures length of service from employee hire date to current date (or analysis date for historical periods). Tenure is grouped into cohorts:

• 0-1 years – Recent hires, still building organisational knowledge
• 1-2 years – Early career with organisation, past initial onboarding
• 2-5 years – Established employees with solid organisational experience
• 5-10 years – Experienced long-term employees with deep institutional knowledge
• 10+ years – Veteran employees with extensive tenure and organisational history

Tenure distribution indicates workforce stability, retention effectiveness, and knowledge risk. High concentrations in 0-1 year cohorts suggest rapid growth or high turnover. Balanced distribution across cohorts indicates healthy retention and steady workforce development.

Remuneration Metrics

Annualised Remuneration (Base) converts base salary to annual amounts regardless of pay frequency:

• Monthly salaries: multiplied by 12
• Fortnightly salaries: multiplied by 26
• Weekly salaries: multiplied by 52

This metric excludes variable pay components and represents fixed payroll obligations.

Annualised Remuneration (Total) converts total compensation (base + bonuses + allowances + overtime + commissions) to annual amounts using the same frequency conversion. This metric represents total payroll obligations including variable pay.

Both metrics are converted to your organisation's base tenant currency for consistent multi-currency reporting.

Time and Effective Dating

All metrics reflect the active workforce as of the selected date or date range. Historical analysis uses the job status and attributes that were effective on each historical date, not current values.

Monthly trend visualisations aggregate data by month, showing how workforce composition evolved over time. Month-to-month comparisons in KPI tiles indicate whether metrics are increasing or decreasing.

Related Articles

• HR Analytics Dashboard - Financial Planning (link TBD after publishing)
• HR Analytics Dashboard - Movements and Change (link TBD after publishing)
• HR Analytics Dashboard - Active Vacancies
• Feature Overview - Humanforce Analytics

Additional Information

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