Last updated: May 2026
Reliable salary data is compensation information that comes from a transparent, methodologically sound source and segments pay by job, industry, company size, and location, rather than self-reported figures that can skew the numbers. The most trustworthy sources are the U.S. Bureau of Labor Statistics for free national and regional wage data, and established compensation surveys from firms such as Culpepper, WTW, and Radford for deeper, peer-matched detail.
The common hiring advice is to keep your salary offer close to the market average. That holds up in theory, but it leaves one practical question: what is the market average? There is no single point of reference. Sites like Glassdoor and Salary.com rely on employee self-reporting, so their figures are not always accurate. The Bureau of Labor Statistics publishes more objective wage data for free, though it does not always track fast market movements. For current, peer-matched detail, many employers turn to purpose-built compensation surveys.
What counts as reliable salary data?
Reliable salary data shares a few traits no matter where it comes from. It is gathered through a published, repeatable methodology, it segments pay by factors like company size, industry, and region, and it is collected in a way that protects participant privacy and stays compliant with the law.
If you are purchasing data, the source should comply with the Sherman Anti-trust Act and Safe Harbor rules for the collection of salary information. The organization running the survey should also publish its methodology, so you can see how it gathers data, ensures objectivity, and protects privacy.
6 questions to ask when evaluating salary data
When you are choosing which surveys to participate in or purchase, a few questions separate dependable data from numbers that will lead you astray.
1. Is this from a reputable organization?
Be cautious with surveys that ask employees to self-report their salaries. Employees often provide incorrect details. For example, a part-time worker might enter their pay as a full-time salary, and a mistake like that can spoil the data quality. Look for surveys that require a specific reporting format, typically submitted by the organization's HR department, which keeps the inputs consistent and the results more reliable.
2. Which companies participated in the survey?
Salary data is more useful when it is segmented by organization size. A small firm might pay its salespeople a base salary of $75,000, while the same role earns closer to $150,000 at a large multinational. The average of the two is $112,500, a figure that reflects neither hiring market. Make sure the data is segmented and that some of the surveyed companies match your own profile, which gives you a clearer view of how you benchmark against peers.
3. How are jobs categorized?
Job categorization is always a challenge when compiling salary data, because a job title can mean something slightly different from one organization to the next, which makes a like-for-like comparison difficult. The survey company should have an objective framework that clearly defines each role. For obscure or emerging roles, you may need a consultant to run a specialist survey.
4. Which regions are covered?
Salaries vary widely between states, and even between cities, so a national average can mislead you if your hiring market sits well above or below it. Confirm that the data covers the locations where you actually hire, and look for a source that breaks pay out by metro area rather than reporting a single national number. If you employ remote workers, it helps to know typical pay for those roles too.
5. What is the survey methodology?
It is your job to confirm that the data comes from an ethical, compliant organization. If a provider is not doing its own due diligence, that raises questions about whether it can produce reliable data at all. Read everything you can about the methodology on the provider's site, and where possible speak to a representative and ask how they source their figures.
6. How much data is available?
A high-quality salary report gives you a range rather than a single number, showing the median along with the 25th, 50th, and 75th percentiles for each role. Detailed surveys may also cover variable compensation such as bonuses and commission. Look for a provider that tells you as much as possible about the current market.
Where can you find reliable salary data?
Reliable salary data falls into two broad categories: free government data and paid compensation surveys. Most employers use a mix of the two.
The U.S. Bureau of Labor Statistics is the most authoritative free source. Through its Occupational Employment and Wage Statistics program, the BLS publishes wage estimates for roughly 830 occupations across the nation, every state, and hundreds of metropolitan areas. As of May 2025, the median hourly wage across all U.S. occupations was $24.51. The data is objective and broad, though it lags the market by a year or more and is not segmented to your specific peer group.
Established compensation surveys fill that gap with deeper, peer-matched detail. Well-known compensation survey providers include Culpepper, WTW, HR Alliance, and Radford. These organizations generally collect data in spring and publish it in summer, which leaves time to plan your total rewards for the year ahead.
Helios HR now provides free compensation data through our partner, Payscale. You can access reliable market salary data here.
Should you participate in salary surveys?
Quality compensation data carries a cost, so it is worth weighing in your budget. Many providers offer a discount when you participate by contributing your own data, which can lead to meaningful savings even though it takes time for your HR team to complete the reports.
Participation has a second benefit: you get to see the methodology in action. Working through the reporting process shows you whether a provider is genuinely committed to compiling reliable data, which makes their final numbers easier to trust.
Frequently asked questions
Where can I find accurate salary information?
Start with the U.S. Bureau of Labor Statistics for free, objective national and regional wage data. For deeper, peer-matched figures, use an established compensation survey such as Culpepper, WTW, or Radford. Treat self-reported sites like Glassdoor as a rough reference only.
What are the most reliable sources for salary market research?
The most reliable sources are government wage data from the BLS and compensation surveys that publish their methodology and segment pay by company size, industry, and region. The strongest research usually combines a free government baseline with a paid survey matched to your peer group.
Is BLS salary data reliable?
Yes. BLS wage data is objective government information covering roughly 830 occupations nationally and by region, and it is free to access. Its limitations are that it can lag fast-moving markets by a year or more and is not segmented to your specific set of competitors.
Are self-reported salary sites like Glassdoor reliable?
They are useful for a rough sense of a market but not dependable for benchmarking. The figures are self-reported and unverified, so simple errors and outliers can distort the numbers. For pay decisions, rely on government data or a methodologically sound survey instead.
How current should salary data be?
Aim for data refreshed within the past year. Compensation surveys are typically collected in spring and published in summer, so timing your reviews around fresh releases keeps your benchmarks aligned with the market rather than last year's conditions.
External resources
- U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics
- SHRM, guidance on salary surveys and the Sherman Anti-trust Act
- HHS Office of Inspector General, Safe Harbor Regulations