Culpepper Compensation & Benefits Surveys


U.S. Pay Varies Significantly within Geographic Regions

Our annual U.S. geographic pay analysis of technology and life science industry wages shows the variability in pay rates between locales and areas and demonstrates the importance of considering the impact of geography on pay.

Dividing broad geographic regions of the U.S. into high, mid, and low paying areas highlights the impact of higher-wage locations found within generally lower-wage areas.

It is important to recognize that broad regional geographic data cuts (e.g., Northwest) do not accurately reflect differences between smaller geographic areas and locales. By organizing large geographic regions into smaller geographic areas (high, mid, and low-paying areas) containing locations with similar pay rates, you have a clearer picture of local market pay rates.

For example, by using the data below, one could assume that companies in the general Northwest Region pay employees at an average of 102.7% of the national average. However, this figure does not accurately account for higher-paying metro areas, such as Seattle and Portland, which fall in the Northwest High and Northwest Mid geographic areas. In comparison, we find that companies in Northwest High pay employees at an average of 104.2% of the national average, and companies in Northwest Mid have an average pay rate of 99.9% of national. These average pay rates are not accurately represented by the larger Northwest Region pay rate.

Table 1 displays the Culpepper Geographic Pay Index (CGPI) for different areas and regions in the U.S. The CGPI is calculated from actual employee pay data by zip code collected from participating companies in Culpepper Compensation Surveys.
 

CGPI =

Average Pay Rate of Location

x

100

U.S. National Average Pay Rate

 

Table 1: Market Wage Levels by U.S. Regions and Geographic Areas

Level of Geography

Culpepper Geographic Pay Index
(CGPI)
 
(Average Pay Rate of the Geographic Area/Region
as a Percent of National Average)

Geographic Area Region

Middle Atlantic Region

Middle-Atlantic High

108.4%

102.4%

Middle-Atlantic Mid

102.8%

Middle-Atlantic Low

96.0%

Midwest Region

Midwest High

101.9%

98.5%

Midwest Mid

97.7%

Midwest Low

93.2%

Mountain/Plains Region

Mountain/Plains High

103.7%

98.9%

Mountain/Plains Mid

96.2%

Mountain/Plains Low

92.6%

Northeast Region

Northeast High

103.8%

102.6%

Northeast Mid

99.9%

Northeast Low

95.7%

Northwest Region

Northwest High

104.2%

102.7%

Northwest Mid

99.9%

Northwest Low

91.0%

Southeast Region

Southeast High

100.4%

96.9%

Southeast Mid

97.2%

Southeast Low

93.9%

Southwest Region

Southwest High

103.2%

100.1%

Southwest Mid

99.3%

Southwest Low

94.7%

Overview of U.S. Geographic Data Cuts in Culpepper Compensation Surveys
Culpepper Compensation Surveys
provide three different types of U.S. geographic data cuts.

  • Locales
    We provide 100+ specific U.S. geographic locales based on actual employee data by zip code from participating companies. A locale is typically designated by a city or metropolitan area (e.g., "Atlanta" or "Seattle"). Locales may also encompass multiple cities or broader areas that are in close geographic proximity with similar pay rates (e.g., "Miami/Ft. Lauderdale" or "Dallas/Fort Worth").

    Our annual analysis of technology and life science industry wages within the U.S.
    confirms that the California Bay Area maintains the top location with the highest wage
    levels.

  • Geographic Area
    Geographic areas amalgamate data from locales within a common geographic area (e.g., Northwest) with similar pay rates. Our U.S. geographic areas are divided into high, mid, and low paying areas (e.g., Northwest High, Northwest Mid, Northwest Low) containing locations with similar pay rates.

  • Pay Zone
    Similar to geographic areas, pay zones amalgamate data from multiple geographic locations and areas with similar pay rates. Pay zones provide large geographic data cuts and are useful for organizations that want to accurately and intelligently create geographic pay differentials.

Each step-up, from Geographic Locale to Geographic Area to Pay Zone, provides a larger grouping of geographic data with similar pay rates.

Geographic Pay Differential Best Practices
View results from a recent Culpepper Pay Practices & Policies Survey on geographic pay differentials, including average number of geographic differentials, methods for assigning locations to differentials, and employee eligibility levels.

- Jennifer Berthiaume and Leigh Culpepper

Data source: The Culpepper Compensation Survey database as of November 1, 2007.

Copying. If you decide to copy portions of this article into your own publication or transmission, please cite your source by including the following: "Source: Culpepper Compensation Survey, November 2007, www.culpepper.com"



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