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Market Pay Range Percentiles
Market hourly-pay percentile distribution (p10/p25/p75/p90) around the median for a SOC × geography.
How it’s computed
percentiles(OEWS hourly wage | SOC, geography) at {10,25,75,90}
What the evidence shows
Evidence (effect sizes, priors, validity) is syncing from Principia.
What this metric can show you
Market Pay Range Percentiles can tell roughly 22 pre-built stories — each a designed scene the data either confirms or it doesn’t. Bring your numbers and the Story Finder runs every one of these shapes against them.
specific to compensation & benefits
A real gradient — now ask if it's pointed at value
compensation · T1
Below the market, across the board
compensation · T1
One group sits apart on a decision that should be neutral
fairness-equity · T1
Pay is drifting from plan
compensation · T1
universal shapes — any single metric can take these
A few large values are doing the talking
any focus · T1
A one-time event, not a trend
any focus · T1
It doesn't track — the premise is false
any focus · T1
It's concentrated — one group stands apart
any focus · T1
Scenes are pre-built; your data is the toggle. Browse the full deck or watch one play end-to-end in The Quiet Exodus.
Run it on your data
This metric is computed in the People Analytics Toolbox on your own numbers. See pricing — posted, no quotes.
sources: toolbox:metrics-catalog
What the literature says
The measurement literature behind this signal — sourced, so you can defend it.
“Here, the values of percentiles, usually the “standard” percentiles of P10, P25, P50, P75, and P90 are plotted versus the category for which they were calculated. To illustrate this, we go to BPD’s mining division, and suppose you calculated the standard percentiles of the pay…”
— Statistics for Compensationmatch 59%
“The lines go through the data very nicely and the plot verifies the extremely high values of r 2 . It should be noted that the coefficient of determination will always be higher for calculated values (in this case, percentiles) than for the raw data. TABLE 14.2 REGRESSION…”
— Statistics for Compensationmatch 57%
“Thus, Walmart announced that it will start paying its employees more - subsequently, sales started to rise and stores hitting their customer service targets increased back to 75 percent by year 2016. (14)In year 2015, Ann Frost’s (associate professor at Ivey Business School in…”
— Predictive HR Analyticsmatch 56%
Resources: Statistics for Compensation · Predictive HR Analytics