Salary Comparison Database

 

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This web based interactive database details the salary comparison information across all University of Hawaii campuses, departments and employee groups.  Below are definitions of the data sets you can search.

 

Database Definitions:

All Data:

All data provides you with the ability to search the entire database with user defined search criteria.  It will not provide you with the consolidated salary comparison data by Department, Employee or Campus.

Department Data:

The department data displays the consolidated salary comparison data by departments.  Department names appear by discipline for UH-Manoa (UHM).  UH-Hilo (UHH) and the Community Colleges (CC) have various names for the department and divisions where specific disciplines are located.  For example, salaries paid to faculty in the discipline of English will be found under "English" for UHM, "Language Arts" for CC, and "Humanities" at UHH.  As a result of its current small size, the data for UH-West Oahu (UHWO) is not separated into departments or disciplines, and the salary data presented are the ranges paid in the aggregate to all the faculty members.

Faculty Data:

The faculty data is the consolidated salary comparison data for all employee titles. It allows you to search by faculty type (Instructional, Specialist, Researcher, Extension Agent or Librarian).

Campus Data:

The campus data is the consolidated salary comparison data across all campuses and a consolidated view of just the universities and community colleges. It allows you to search by campus type (University or Community College).

 

Result Definitions:

Minimum:

The minimum is the smallest value in the data set.

25th Pctile:

The 25th percentile is a value so that roughly 25% of the data are smaller and 75% of the data are larger than the value.

Median:

The median value refers to a measure of the "middle" value of the data set.

75th Pctile:

The 75th percentile is a value so that roughly 75% of the data are smaller and 25% of the data are larger than the value.

Maximum:

The maximum is the largest value in the data set.