How To Use Salary Source

The key to using Salary Source is to know what position you are trying to research. This is more than just looking for a particular job title. It is important to read the generic job descriptions to closely match the requirements of your position to the benchmark position within Salary Source. Job titles can be misleading. A Network Administrator at one organization may be called a LAN Administrator at another. A Custodian can be called a Janitor etc. etc.

To aid in the process of locating the correct match, we have a tool available for your use as a subscriber. We have listed all of our generic job titles in alphabetical order with their accompanying mini job descriptions. Feel free to browse through them.

When attempting to match job titles, remember that there is seldom a 100% match. Your position may contain some duties that are not listed. The generic job description may list a duty that your position doesn't contain. Focus on ensuring that the majority of your position's duties and requirements are a match to the database position. If you are unable to find the position match you are looking for, want an industry-specific survey, or need specialized information, please feel free to contact us about our Custom Survey service. Custom Surveys are performed on unique positions, positions contained within a very specific industry or segment, or because of special market circumstances.

Once the proper job title has been identified within our database, proceed to the Salary Search page. Choose the State where your Base City is located. Choose the Functional Area (i.e. Accounting, Production etc.) for the position you wish to inquire about. Click "Continue". From the drop-down list, select the Base City from the choices listed. If your city is not shown, select a larger city in close proximity to yours. Next, you have the option of choosing what month/year you would like to factor the salary data forward to. If you do not specify a data, the current date on your computer will be used. Finally select the position from the drop-down list for your search.

A page that lists the survey matches contained within our comprehensive database are listed in the box below. Go to the drop-down list on the bottom of the screen. There you may select a Salary Survey Report with either Annual Data or Hourly Data. The final report will be regionalized for your Base City with current market geographic differentials. It will also be factored forward to the date that you specified based on market pay movement factors.

Important Note: If you desire U.S. National Average Data, select "United States" on the State drop-down list. The only city shown will be "National Average". If you do not enter a factor date, the data will be aged to today's date (i.e. Today's date on your computer).

Shown below is a sample report. What do all of these numbers mean? Point your mouse to any figure on the report and you will see a definition for that figure. Below the report, we have listed all of these and other definitions commonly used in compensation analysis. We have also provided additional explanation of why we use the numbers that we do.







Salary Source and other Compensation Definitions

25th Percentile - The level below which 25 percent of a given sample falls. In our reports, this is occasionally substituted for the minimum of a salary range when that data is not available.

75th Percentile - The level below which 75 percent of a given sample falls. In our reports, this is occasionally substituted for the maximum of a salary range when that data is not available.

Aging Salary Data - The practice of taking salary survey data from a survey source with a specific effective date and multiplying it by a pay movement factor to bring the data forward to either todays or a future date. For example, assume that pay movement or pay increases are averaging 3% a year. If we used a salary data point from a source with an effective date of one year ago, we would increase that number by 3%. Note: Our factors for aging are computed by using multiple sources that forecast projected pay movements.

Annual Salary - The base salary that would be earned in an entire year. Monthly data can be multiplied by 12 to equate annual data. Hourly data can be multiplied by 2,080 (the number of hours in a year on a 40 hours-per-week schedule) to equate annual data.

Base City - The specific city that you are requesting salary information for based on market geographic differential factors.

Benchmark Position - Key jobs that are well known and understood by most employers. They are generic positions that are common throughout almost all industries (i.e. Accountant, Receptionist, etc.)

Bonus - Number of Firms - What percentage of organizations are paying bonus/incentives in addition to base salaries or wages.

Bonus - Percentage - Of those organizations paying bonus and/or incentive, this identifies the average percentage of base pay being given.

Data Point Salary - A single line of salary data from one salary source.

Effective Date, Source - This is the point in time that a given salary survey source collects all of their market data. This is an important date because an effective date of one month ago is much more current than one year ago. If pay movement data indicates that salary increases are averaging 4% a year than the data from exactly one year ago has to be increased by 4% to bring it forward to today's date.

Functional Area - A specific department or area such as Accounting, Production, Human Resources etc.

Geographic Differential - A percentage number used to indicate the difference in salary levels for two different regions or cities. The U.S. National Average would have a value of 100.0, as it is usually the point of comparison. For example, at a salary of $48,000, Cincinnati, Ohio has a geographic differential of 99.4, which means it is 99.4% of the U.S. National Average.

Hourly Wage - The amount of base pay earned for one hour of work. Annual data can be divided by 2,080 to equate hourly data. Monthly data can be divided by 173.33 to equate hourly data.

Incumbents, Number of - The number of individuals reported for a particular position in a Salary Survey source.

Job Description - A general description of the duties performed and skills or education required for a particular position. Job descriptions balance the need for properly describing the uniqueness of the position with the probability of finding matches in other organizations. For use with a product such as Salary Source, descriptions can not be overly detailed or specific, otherwise customers would not be able to match jobs on a general basis.

Maximum or Max - The top of the salary range for particular job grade or position.

Mean - The arithmetic average of a sample.

Median - The middle response when responses are organized from lowest to highest.

Midpoint or Mid - The middle salary level in a salary range for a particular job grade or position. This is usually not far from the average of the minimum and maximum in a salary range.

Minimum or Min - The lowest salary level in a salary range for a particular job grade or position.

Monthly Salary - The base salary that would be earned in a calendar month. Annual data can be divided by 12 to equate monthly data. Hourly data can be multiplied by 173.33 to equate monthly data.

Pay Movement Factor - A percentage that represents the average market adjustment for pay increases for a specific period of time.

Salary Range - The salary guidelines for a given job grade or specific position. The salary range typically includes a Minimum, Midpoint, and Maximum. The numbers are not directly related to what any individual(s) are actually receiving in terms of compensation. Rather, they are used as guides in making decisions in pay practices such as new hires, merit increases, promotions etc.

Source, Salary - The name of this on-line product. Also describes a single reference or publication used to survey market salaries.

U.S. National Average - This represents an average of salaries encompassing the entire United States for a specific positions. This is the point of comparison for geographic differentials that are used to pinpoint a salary for a specific city or region.

Weighted Average - The sum of all the responses divided by the number of incumbents. Basically, every individual reported is given equal treatment. As an example, imagine we have a surveyed position and only two companies are responding as follows:
Incumbents Avg. Salary Reported
Company A 10 $30,000
Company B 1,000 $25,000

A true average of the two companies would be $27,500 (i.e. ($30,000 + $25,000) divided by 2). Unfortunately, $27,500 would not be an accurate representation of the market for this position because many more individuals are represented from Company B. A more accurate representation is achieved by weighing the data based on the number of incumbents for each Company. This is accomplished by the following basic mathematical formula:

((10*$30,000)+(1000*$25,000)) divided by the 1,010 total incumbents. The resulting weighted average is $25,050. This result is quite different from the straight company average of $27,500.


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