Bradford Factor Calculator - Absence Risk Score

Bradford Factor Calculator is designed for HR absence risk scoring, where a small change in one input can alter a decision, budget, or performance story. The calculator keeps the assumptions visible beside the result so the number can be reviewed instead of copied blindly. Use the fields as a compact worksheet: enter the values using the units shown on each label, calculate the primary result, then read the supporting lines to understand which driver is moving the answer. The calculation squares the number of separate absence spells before multiplying by total absent days. In plain terms, Bradford Factor = S^2 x D, where S is absence spells and D is total absent days. The supporting outputs are included because the headline number rarely gives enough context on its own. Margins, rates, totals, variances, or remaining balances explain whether the result is caused by price, volume, time, cost structure, or exposure. Common use cases include spotting repeated short-term absences, preparing attendance conversations, applying consistent policy triggers, and comparing absence patterns across teams. A practical review usually compares at least three cases: conservative, likely, and optimistic. Change one input at a time so the sensitivity is clear; if a small input movement creates a large output change, document the assumption and look for a better source before presenting the result. Important caveats include disability accommodations, protected leave, local employment law, data-entry quality, partial-day rules, and whether a policy has been communicated clearly. The calculator is a deterministic planning aid, not a substitute for professional advice, policy review, tax guidance, legal review, HR judgment, brokerage instructions, or a full financial model. Rounding can also matter when the result will be used in contracts, accounting entries, payroll conversations, or regulated decisions. For best results, keep time periods and units consistent. Enter percentages as ordinary percentage values, such as 8 for 8%, rather than decimals. Because the spell count is squared, five one-day absences score much higher than one five-day absence even though the days lost are the same. After calculating, compare the answer with an independent estimate or source document and save the assumptions that support the scenario.