Best Compensation Survey Datasets, Databases & APIs
Direct Consumer Custom Surveys (USA & CAN)
The Ultimate Guide to Compensation Survey Data 2022
What is a compensation survey?
A compensation survey is an analytical tool meant to help managers define fair and competitive levels of salary for the employees in their company. The result of a survey yields data on the average and median salary for specific industries and positions, company sizes and regions.
Why a compensation survey is needed?
Salary surveys enable managers and business owners to make informed decisions regarding employment compensation levels. The survey offer industry specific benchmarks from the closest competitors that help understand the labor market.
How is compensation benchmarking done?
Wage or compensation benchmarking is usually done with data from salary surveys and reports. This data offers comparable insights from similar jobs and positions that the managers can use to inform their compensation decisions.
Where can I buy Compensation Survey Data?
Data providers and vendors listed on Datarade sell Compensation Survey Data products and samples. Popular Compensation Survey Data products and datasets available on our platform are Direct Consumer Custom Surveys (USA & CAN) by Reklaim.
How can I get Compensation Survey Data?
You can get Compensation Survey Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Compensation Survey Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Compensation Survey Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Compensation Survey Data?
Compensation Survey Data is similar to Executive Compensation Data. These data categories are commonly used for Salary Benchmarking.
What are the most common use cases for Compensation Survey Data?
The top use cases for Compensation Survey Data are Salary Benchmarking.