Registered Nursing Compensation Survey

As ongoing workforce shortages persist due to burnout, unfavorable working conditions and an insufficient pipeline of future clinicians, many health care organizations are looking for better ways to recruit and retain registered nurses (RNs) in an unprecedented market for talent.

By collecting data midyear, this survey provides the most up-to-date information on nursing salary trends, pay practices and important operational measures for end-of-year budgeting and market analysis – empowering your organization to remain competitive and effectively shape your RN workforce structure moving forward.

• Six months of base pay data trends
• Information on premium pay practices unique to the RN population:
  • Per diem
  • Float
  • Weekender
  • Travelers
  • Clinical ladders
  • Specialty on call
  • And more
• Insight into staffing ratios and turnover
• Operational measures for RN leaders
• Data reported by setting, specialty, experience and level
• Collecting data on over 100 key nursing jobs, including RNs, nursing managers and licensed practical nurses

Enhanced Report Delivery

• The compensation and pay practices benchmarks are delivered via SullivanCotter’s web-based Benchmarks360™ product suite — providing users with self-serve analytics dashboards for their unique reporting needs

Our participant experience includes an audit process that allows organizations to identify year-over-year discrepancies and areas of concern, contributes to the robustness and integrity of our data and provides greater confidence in report accuracy. If audits are needed, SullivanCotter emails participants when their audits are ready. After which, they may log in to their accounts to clarify and submit feedback via secure communication.

Log in to the Client Portal for a new and improved user interface and experience that allows you to submit data (i.e., APP, benefits, employee, executive, investment and physician) once and qualify for all applicable surveys, delegate survey tasks across your organization to other colleagues and more easily participate in the data collection process