Salary Data

Salary data refers to mostly aggregated information regarding employment and job contracts, e.g. how much a specific group or type of employees earn. Most common sources are online salary surveys or payroll reports. It's also known as wage data, compensation data, or income data. Learn more →
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Global Job Market Data - LinkUp Raw (job postings data, updated daily) 240 countries covered icon
240 countries covered
LinkUp Raw contains the most complete set of LinkUp’s job market data, dating back to 2007. Delivered daily, the dataset includes full job postings sourced d...
Yodlee's Payroll Panel | USA payroll data covering 4800+ employers  4.8K employers icon
4.8K employers
Yodlee's Payroll Panel | USA payroll data covering 4800+ employers  80% mapping to tickers icon
80% mapping to tickers
Yodlee's Payroll Panel | USA payroll data covering 4800+ employers  USA covered icon
USA covered
Payroll Data on over 4800+ employers covering all industries from Industrials, TMT, Materials, Autos, Airlines,, Aerospace/Defense, Energy, Healthcare, Gami...
Adstra Wealth | Affluent Consumers in the USA and their positions, passions, and possessions  USA covered icon
USA covered
Adstra Wealth goes beyond mere demographics and models to deliver people of means based on 3 key individual attributes: the positions, possessions and passio...
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Mercer
Based in USA
Mercer
Mercer is a data provider offering Compensation Survey Data, ESG Data, Executive Compensation Data, and Salary Data. They are headquartered in United States ...
ADP
Based in USA
ADP
ADP is a data provider offering Compensation Survey Data, Demographic Data, and Salary Data. They are headquartered in United States of America.
PayScale
Based in USA
PayScale
Over 54 million people have filled out the PayScale Salary Survey, meaning we have the largest database of individual compensation profiles in the world.
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The Ultimate Guide to Salary Data 2021

Learn about salary data analytics, sources, and collection.

What is Salary Data?

Salary data, also known as wage data, compensation data, or income data, is a sub-category of Business-to-Business (B2B) data. The data is mainly grouped into ranges or categories relating to earnings, demographics and contracts. Salary data involves the identifiers of job title, full job description, company or employer’s name and location in relation to data about earnings relating to frequency of payroll, average salaries, number of employees earning each salary level.

How is Salary Data collected?

Salary data is can come from many different sources. It is most often collected from online salary surveys, payroll reports, or full job postings sourced directly from employer websites using code specific to salary data. Salary data is also collected from and made up of statistics and analysis of the employer website’s job postings.

What are the attributes of Salary Data?

Salary data is made up of various different data points. Company or employer’s name, job title, job description and location will be simple word data - with the possibility of being grouped in relation to earnings. For example, it is common to find salary data which shows how much a specific type of employee or group of employees earn. Salary data relating to earnings will often be presented in ranges e.g. from $100K to $200K. Salary data concering timeframes of payroll deposits as well as payroll periodicity and frequency will be displayed using dates and timespans. Occupation codes and sector codes present further examples of salary data which can be group into categories.

What is Salary Data used for?

Salary data is made up of various different data points. Company or employer’s name, job title, job description and location will be simple word data - with the possibility of being grouped in relation to earnings. For example, it is common to find salary data which shows how much a specific type of employee or group of employees earn. Salary data relating to earnings will often be presented in ranges e.g. from $100K to $200K. Salary data concering timeframes of payroll deposits as well as payroll periodicity and frequency will be displayed using dates and timespans. Occupation codes and sector codes present further examples of salary data which can be group into categories.

How can a user assess the quality of Salary Data?

The best salary data providers will have certifications to show that their data is high-quality, and they will be able to explain the verification procedures they carry out to ensure data accuracy. They will also be updating their datasets regularly, and you should be able to find good reviews from clients of the best salary data providers. Lastly, ask for a data sample before you buy from a salary data provider to ensure that their salary data is of the quality that your business needs.

Who are the best Salary Data providers?

Finding the right Salary Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Salary Data providers that you might want to buy Salary Data from are Mercer, ADP, PayScale, Salary.com, and Pearl Meyer.

Where can I buy Salary Data?

Data providers and vendors listed on Datarade sell Salary Data products and samples. Popular Salary Data products and datasets available on our platform are Global Job Market Data - LinkUp Raw (job postings data, updated daily) by LinkUp Job Search Engine, Yodlee’s Payroll Panel | USA payroll data covering 4800+ employers by Envestnet | Yodlee, and Adstra Wealth | Affluent Consumers in the USA and their positions, passions, and possessions by Adstra.

How can I get Salary Data?

You can get Salary Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Salary 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 Salary Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Salary Data?

Salary Data is similar to B2B Leads Data, Firmographic Data, Technographic Data, Business Ownership Data, and B2B Intent Data. These data categories are commonly used for Salary Benchmarking and Salary Data analytics.

What are the most common use cases for Salary Data?

The top use cases for Salary Data are Salary Benchmarking, Compensation Planning, and Job Pricing.