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人事リーダーが追跡すべき有益な給与計算指標 4 件
JUN 14, 2026
給与計算は、あらゆる事業における最大級のコスト項目です。以下の4つの指標は、人事リーダーが数字の本当の意味を理解する助けになります。
給与計算指標が人事の責任である理由
Payroll data is rich with strategic insight that HR leaders often leave untapped. Beyond ensuring payroll runs accurately and on time, the data reveals cost trends, labour productivity, compensation equity gaps, and the true cost of turnover. As HR takes on greater responsibility for workforce cost management, the ability to analyse and present payroll data becomes a core professional skill.
指標 1: 売上に対する人件費比率
Labour cost as a percentage of revenue measures how much of every pound of revenue is spent on people, including salaries, employer National Insurance contributions, pension contributions, and benefits costs. A rising ratio without a corresponding rise in revenue signals a productivity problem or a cost structure that has outgrown the business. Benchmarking this ratio against industry peers gives leadership context for whether the workforce is productively sized.
指標 2: 給与計算エラー率
The payroll error rate measures the percentage of payroll transactions that require correction after the initial run. Industry benchmarks suggest that best-in-class payroll functions achieve an error rate below 1%. Higher rates indicate data quality issues in the HRIS, inadequate checking processes, or excessive manual adjustments. Each payroll error carries both a direct cost (correction, potential penalty) and an indirect cost (employee trust and satisfaction).
指標 3 および 4: 残業コストと欠勤コスト
Overtime cost as a percentage of total payroll flags resourcing problems: persistent high overtime indicates either chronic understaffing or demand forecasting failures, both of which are more expensive than addressing the root cause. Absenteeism cost, calculated as the number of days lost multiplied by the average daily cost of an employee including on-costs, is frequently underestimated by leadership. A workforce of 200 with an average 8-day absence rate per person is losing the equivalent of 1,600 working days per year.











































