US Geographic Salary Differential Survey

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With the US Geographic Salary Differential Survey you can analyze pay differentials for about 200 cities. Using this data you can:

  • Compare compensation data at the city or national level.
  • Compare cities to each other and to the national median.
  • Compare differentials at varying salary levels you define — up to $150,000.
  • View actual and projected salary increase percentages for each location.
  • Create reports and graphs of data for the cities you select.
  • Price or export the results.

With an increasing number of companies with operations in multiple cities across the US, you need credible salary differential information to stay competitive. With this salary survey, you can consistently determine the cost of your staff all while handling employee relocation to other cities across the US. Design your effective compensation strategy so that you can attract and retain the best talent no matter what market you're in.

What's new in 2016

  • 2.8+ million incumbents — an increase of 1.5+ million.
  • 1,814 jobs — 265 jobs added in 2016.
  • Increased data pool used for geographic analysis.
  • Updated methodology to a single regression line.
  • More streamlined appearance and intuitive user interface with updated hyperlinks and Excel functionality.
  • Comparative analysis updated to limit the number of pay rates with default increments added.
  • A fixed data point with the national median figures.

To view the list of cities involved in the survey, click here.

Canada Need Canada data? View the Canada Geographic Salary Differential Survey.

Need local compensation data for nonexempt or lower level exempt jobs? Explore the US MBD: Metropolitan Benchmark Survey.




Recert Credit

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The Geographic Salary Differentials (GEO) Tool provides an analysis of pay differentials for 238 cities and Metropolitan Statistical Areas (MSAs) in the United States.

This compensation data provides you with pay increases based on actual and projected salary information and also uses the results to translate rates of pay in one location to comparable rates in another.

Survey Stats
  • # Positions: 1,814
  • # Cities: 238
  • # Observations: 2.8+ million
  • Survey Schedule
  • Data Effective Date: Jan 1*
  • Report Available: March

    *2015 data has been aged to Jan 1, 2016.