2022 Salary Guide

2022 U.S. Salary Guide

It is the great reset to the world of work. Are you keeping up?

>> I want to view the latest 2023 Salary Guide <<

Did you know more than half of your team is ready to resign and move onto their next opportunity? Our Salary Guide reveals that 61% of workers are seriously considering leaving their current role, meaning you will need to take a hard look at your retention strategy to keep your staff happy. The great reset to the world of work has significantly shifted employee expectations.
Download our Salary Guide to get a comprehensive overview into the US labor market including salaries, benefits, in-demand jobs, hiring plans for 2022 as well as key tactics for reducing staff turnover.

Get your copy

Key findings from our 2022 Salary Guide: 

  62% of employers plan to increase permanent headcount over the next year

     42% of employers are losing talent to higher pay being offered elsewhere

  52% of professionals want their employer to encourage taking mental health days off.

With this guide, you’ll find up-to-date salary ranges across hundreds of roles plus:

✓  The current state of the labor market
✓  Employee satisfaction and wellbeing advice
✓  Tactics to combat the wave of employee resignations
✓  Compensation and benefit trends by job category 

2022 U.S. Salary Guide report form_Right hand

Download your copy


Please have a representative contact me to discuss upcoming roles.

Keep me informed. I want to receive information about opportunities, career / hiring advice and other information from Hays USA. I can withdraw consent at any time. Contact Hays USA

 I confirm that I have read and accept the Terms and Conditions. By filling out this form, I agree I have read and understand the Privacy Policy.

2022 U.S. Salary Guide_Methodology


The fifth annual Hays U.S. Salary Guide is based on a survey conducted from July 15th to August 11th, 2021 with a representative sample of n= 2,751. This survey was conducted online in English and has a two percent margin of error with 95% confidence level.