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Administrative Compensation | Mid-Level | NFSS | Two-Year | Benefits | HR Benchmarking

About CUPA-HR Surveys

CUPA-HR is the national authority on compensation surveys for higher education HR professionals.

Information on this page is for the most recent salary and benefits surveys. For previous years, visit our survey archive.

2009-10 Salary Surveys

Online Order Form for Reports and DataOnDemand (DOD) for Salary Surveys

Due to the large number of institutions completing their surveys later than normal we are still in the process of scrubbing the data. This should be completed in time for us to open DOD for all surveys on Wednesday, February 3. DOD subscribers will receive an e-mail when the 2010 DOD is available.

Download Order Form for 2009 Salary Survey Special Studies and GSA Report

Visit the 2009-10 Salary Survey page for full information

2008-09 Administrative Compensation Survey (AdComp)

The Administrative Compensation Survey (AdComp) collects salary and demographic data for selected administrative positions in colleges and universities. In general, positions at or above the director level are reported in this survey. Data are collected on more than 274 positions from colleges and universities nationwide. (Founded in 1967)

2008-09 Mid-Level Administrative & Professional Salary Survey (Mid-Level)

The Mid-Level Administrative and Professional Salary Survey (Mid-Level) collects salary and demographic data for selected mid-level positions in colleges and universities. In general, positions below the director level are reported in this survey. Data are collected on more than 204 positions from colleges and universities nationwide. (Founded in 1998)

2008-09 National Faculty Salary Survey for Four-Year Institutions (NFSS)

The National Faculty Salary Survey for Four-Year Institutions (NFSS) collects salary data for full-time faculty at private and public institutions nationwide by discipline and rank. Institutions can report salaries by rank in any of 338 four-digit CIP codes defined by the U.S. Department of Education or if uploading data, can also report salaries in any of 1,500+ six-digit CIP codes. (Founded in 1982)

2008-09 Two-Year College Faculty Salary Survey

The Two-Year College Faculty Salary Survey collects salary data for faculty at two-year institutions. The survey supports the diversity of this environment by providing four types of pay structures in which salaries are reported-level of education, rank, discipline, and discipline and rank. CUPA-HR first conducted this survey in 2002. (Founded in 2003)

2008-09 Comprehensive Survey of College and University Benefits Programs (Benefits)

This survey collects data on the most representative healthcare and non-healthcare benefits offered to faculty and staff employed in a cross-section of the nation's colleges and universities. Healthcare data is collected annually and non-healthcare data every two years. The latter includes basic life insurance, short- and long-term disability, paid time-off, tuition assistance and retirement benefits. Subscription to Benefits DataOnDemand includes a complimentary copy of the full Benefits Report. Special thanks to our colleagues at Aetna, for sponsoring the survey and helping us develop the survey instrument.

2008-09 HR Benchmarking and Workforce Planning Survey

Developed at the request of our members, this survey collects data that allows an institution’s HR Department to compare its structure, size, responsibilities and performance to that of HR departments at other colleges and universities. As part of the survey, data are also collected about each institution’s workforce, including turnover rate, hiring rate, cost of searches and training. Special thanks to our colleagues at Sibson Consulting, a Division of Segal, for sponsoring the survey and helping us develop the survey instrument. Survey results are available through DataOnDemand (DOD) only; pricing is intentionally low to encourage both participation and use as we believe this data will be an important tool in helping HR organizations understand and improve their effectiveness. (Founded in 2009)