The Re-Entry Salary Target, Scored Against What the Break Cost

You are returning to work after a break, and someone is about to ask for your salary expectations. Your last figure is stale, and the two pieces of advice everywhere - "never accept less" and "be realistic, take a step back" - both refuse to give you a number. This guide is a scoring framework for one repeated judgement call: convert a stale prior salary into a defensible re-entry target by scoring six dimensions of your break, then read the combined score as a specific figure and a confidence band you can say out loud.

The method works for a caregiving break, a layoff gap, a health break, or a field switch. It is built on documented penalties - a per-year wage cost, a level-regression range, market drift since you left - so the number you produce is traceable to something, not a hope.

Why "never accept less" and "take a step back" both fail

Neither slogan is a method, because neither one turns your specific break into a figure. "Never accept less" ignores that a three-year gap carries a documented penalty; "take a step back" ignores that market drift has raised the whole scale since you left. The truth is that a break has a measurable cost, and that cost has a size, a direction, and a confidence.

The framework here scores six dimensions against a drift-adjusted baseline, then reads the sum as a target plus a band. The band matters as much as the number: it tells you how hard to hold, and where a counteroffer is still inside your defensible range rather than a concession.

One structural fact shapes the whole exercise. In Refolk's index of professional profiles, only 6 US profiles carry a headline mentioning "career break" or "returned to work," and only 4 carry a "Return to Work" or "Returnship" title, at employers including Tesla, Morgan Stanley, and Travelers. Returners are effectively invisible when searched by self-label. That invisibility means you cannot benchmark yourself against a labelled peer group, so you build the target from documented penalties and public wage data instead.

The six dimensions, and what each one proves

The target is the sum of six scored dimensions applied to a drift-adjusted baseline. Each dimension proves a different thing about the break, and each one lies in a specific way if you read it wrong.

Read the table top to bottom before you score. Two of these dimensions - time out and level re-entry - measure overlapping money, and the most common failure of the whole framework is scoring both at full weight. I return to that in the failure-modes section, and it is the one to internalise.

Dimension by dimension: how to score each one

Score each dimension against your drift-adjusted baseline - the stale figure moved to today's dollars. Everything else adjusts from there.

Market drift: move the stale figure to today's money first

Market drift is the wage growth in the whole economy since you left, and it raises your baseline before any penalty applies. The defensible public factor is the BLS Employment Cost Index, which strips out occupation and industry mix shifts, so it measures pay for the same work rather than a changing mix of jobs.

Private-industry wages and salaries rose 3.3% for the year ending December 2025 and 3.6% for the year ending September 2025, so roughly 3.3 to 3.6% nominal per year is the anchor. Multiply your stale base by the multiplier for your years out. That is your drift-adjusted baseline.

kind: warning
title: Nominal drift is not a raise
The +18.8% over five years is nominal. Real, inflation-adjusted compensation rose only 0.1% for the year ending March 2026, so most of that uplift just tracks inflation. Use nominal as your negotiating anchor, but keep the real figure as a private reality-check so you do not mistake keeping pace for getting ahead.