Data structures payscale

  • What is the pay structure data?

    A pay structure consists of pay grades for jobs of similar internal and/or external worth.
    Typically, pay structures are built using external compensation benchmark data, market pricing, and salary surveys, to support the guideline pay level included in the structure..

  • A pay structure consists of pay grades for jobs of similar internal and/or external worth.
    Typically, pay structures are built using external compensation benchmark data, market pricing, and salary surveys, to support the guideline pay level included in the structure.
  • Numerical Data: The numbers from which valuable inferences can be made like average salary, max salary , average employee age etc. are called numerical data.

The PayScale Dataset

The data we use for our research come from the PayScale online salary survey unless otherwise specified. This survey, which is ongoing

The Salary Model

PayScale employs a proprietary parametric Bayesian model for constructing pay ranges and estimates

Common Definitions

Pay: Unless otherwise specified, reported pay is effective annual compensation (EAC). EAC includes base pay, bonus, commission, and tips

What data does PayScale use?

The data we use for our research come from the PayScale online salary survey unless otherwise specified

This survey, which is ongoing, incentivizes respondents to provide their information by offering an individualized report of how people like them with the same or a very similar job title are compensated

What is a salary structure?

From an HR Leader Your salary structure (or salary range structure) is a foundational piece of your compensation plan

Salary structures help ensure that the pay levels for your jobs are competitive externally and equitably internally, and they provide a way to manage employee pay effectively

Where is the PayScale Survey data strong?

Due to the nature of the PayScale survey offering, there are several areas where our data are particularly strong and others where they are relatively thin

White-collar, health care and tech jobs tend to be very well represented in the PayScale dataset


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