Salary Surveys: How to Research Compensation Data
Written by Michael Chen, CCP
Certified Compensation Professional | Former Mercer Consultant
Last updated: February 2026 | 11 min read
Effective salary negotiation requires accurate market data—but not all salary information is created equal. Understanding which sources to trust, how to interpret the data, and how to apply it to your specific situation separates successful negotiators from those who leave money on the table. This guide reviews the best salary research tools available and teaches you how to build a compelling compensation case.
Types of Salary Data Sources
Government Data (Most Reliable)
Bureau of Labor Statistics (BLS) provides official occupational wage data. Large sample sizes, rigorous methodology, but may lag current market by 6-18 months.
Best for: Baseline understanding, broad industry comparisons
Professional Surveys (Industry-Specific)
Trade associations and consulting firms conduct detailed surveys for specific industries. High accuracy but often require membership or purchase.
Best for: Industry-specific roles, detailed job matching
Crowdsourced Data (Most Current)
Sites like Glassdoor, levels.fyi, and Blind collect self-reported salaries. Most current data but potential for bias and less verification.
Best for: Tech industry, current market rates, company-specific data
Compensation Databases (Enterprise)
Services like Radford, Mercer, and Payscale provide detailed compensation data to HR departments. Expensive but comprehensive.
Best for: HR professionals, executive compensation
Best Free Salary Research Tools
Bureau of Labor Statistics (BLS)
Reliability: A+Official government wage data covering 800+ occupations across all industries and geographic areas.
- Pros: Most reliable, large sample sizes, geographic breakdowns
- Cons: Data can be 6-18 months old, broad occupational categories
- Best for: Baseline research, geographic comparisons
levels.fyi
Reliability: A (Tech)Crowdsourced compensation data focused on tech industry with verified submissions.
- Pros: Very current, company-specific, includes equity details, level comparisons
- Cons: Tech-focused only, may skew toward higher offers
- Best for: Tech roles, FAANG companies, startup equity valuation
Glassdoor
Reliability: B+Large database covering most industries with company reviews and salary reports.
- Pros: Broad industry coverage, company culture insights, accessible
- Cons: Self-reported data can be inconsistent, outdated entries
- Best for: Company-specific research, broad industry comparisons
LinkedIn Salary
Reliability: BSalary insights tied to LinkedIn profiles with reasonable sample sizes.
- Pros: Tied to verified profiles, easy job matching
- Cons: May not include total comp, limited detailed breakdowns
- Best for: Quick sanity checks, title comparisons
PayScale
Reliability: B+Compensation data with detailed job matching and cost of living comparisons.
- Pros: Good job matching, includes experience adjustments
- Cons: Best features require paid subscription
- Best for: Detailed job matching, cost of living adjustments
How to Interpret Salary Data
Understanding Percentiles
Salary ranges are typically reported in percentiles. Here's what they mean for a role with median salary of $100,000:
Adjusting for Your Situation
Factors That Move You Up or Down the Range
Higher in Range (+)
- + High cost of living location
- + In-demand skills or certifications
- + Experience above typical for role
- + Strong track record of results
- + Premium employer (FAANG, etc)
- + Rare or specialized expertise
Lower in Range (-)
- - Low cost of living location
- - Less experience than typical
- - Industry transition (new field)
- - Small company or startup
- - Non-profit or government
- - Employment gaps
Building Your Research Package
5-Step Salary Research Process
- 1.Identify comparable job titles
Search for roles with similar responsibilities—your title may differ from industry standard. List 3-5 comparable titles.
- 2.Gather data from multiple sources
Use at least 3 sources (e.g., BLS, Glassdoor, levels.fyi). Note sample sizes and recency of data.
- 3.Adjust for location
Apply cost of living adjustments. SF/NYC data won't apply directly to Austin or Atlanta.
- 4.Position yourself in the range
Based on your experience, skills, and target company, determine your realistic percentile.
- 5.Document your findings
Create a summary showing your target range with supporting data sources. This becomes your negotiation evidence.
Common Research Mistakes
Avoid These Errors
- Relying on a single source: Different methodologies yield different results. Triangulate from multiple sources.
- Ignoring total compensation: Base salary is only part of the picture. Compare total comp including bonus, equity, benefits.
- Using outdated data: Salaries can shift 5-15% in a year. Prioritize recent data (within 12 months).
- Comparing wrong job levels: A "Senior Software Engineer" at Google is different from one at a 50-person startup. Match experience and scope.
- Anchoring to 90th percentile: Unless you truly have exceptional qualifications, targeting the median or 75th percentile is more realistic.
Frequently Asked Questions
How do I get salary data for niche roles?
For specialized roles, try professional associations (they often conduct member salary surveys), LinkedIn groups in your field, or reach out to recruiters who specialize in your industry. Glassdoor may have limited data, but levels.fyi has strong coverage for tech-adjacent roles.
Should I share my salary research in negotiations?
Yes, but strategically. Cite market data to justify your ask: "Based on my research across multiple sources including BLS and industry surveys, the market rate for this role in this location is X to Y. Given my experience with Z, I'm targeting the upper portion of that range."
How much weight should I give to Glassdoor data?
Glassdoor is useful as one data point but shouldn't be your only source. Self-reported data can skew low (people report when frustrated) or high (high earners more likely to share). Look at sample size—fewer than 20 submissions is less reliable.
Key Takeaways
- Use multiple sources. Triangulate from BLS, Glassdoor, levels.fyi, and industry-specific surveys.
- Understand percentiles. Know where you realistically fall in the distribution.
- Adjust for your situation. Location, company type, and experience all affect where you land in the range.
- Document your findings. Create a summary with sources to use in negotiations.
Start Your Salary Research
Use our comprehensive salary database featuring official BLS data to begin your compensation research.
Browse Salary DataData Sources & Methodology
This guide draws on compensation research methodologies from the WorldatWork Total Rewards Association, Society for Human Resource Management (SHRM), and professional experience consulting with Mercer and other compensation consulting firms.
About the Author
Michael Chen, CCP is a Certified Compensation Professional with 18 years of experience in compensation consulting. He previously worked at Mercer advising Fortune 500 companies on compensation strategy and now helps individuals understand their market value. Michael has been featured in the Wall Street Journal, Forbes, and Harvard Business Review.