How to Research Salaries Effectively: A Complete Guide
Written by Robert Kim, CCP
Compensation Analyst | Former BLS Economist
Last updated: March 2026 | 16 min read
Knowing your market value is essential for career success. Whether you're negotiating a raise, evaluating a job offer, or planning a career move, accurate salary research gives you the leverage to maximize your earnings. This guide teaches you how to research salaries like a compensation professional, using the same sources and methods that HR departments rely on.
Why Salary Research Matters
- $7,500/year - Average raise achieved through effective negotiation
- 70% of employers expect candidates to negotiate
- $600,000+ - Lifetime earnings impact of salary research
- 85% success rate when negotiating with data
Best Data Sources for Salary Research
Not all salary data is created equal. The most effective salary research combines multiple sources to triangulate your true market value. Here are the best sources, ranked by reliability and usefulness.
1. Bureau of Labor Statistics (BLS)
Occupational Employment and Wage Statistics (OEWS)
Government survey data - Most comprehensive source
Strengths
- + Surveys 1.2 million establishments
- + 800+ occupations covered
- + Metro-level geographic detail
- + Percentile breakdowns (10th-90th)
- + No self-reporting bias
Limitations
- - 18-month data lag
- - Doesn't break down by experience
- - Base salary only (no total comp)
- - Broad occupation categories
Best for: Establishing baseline market rates, understanding geographic pay differences, and getting unbiased percentile data. Use our salary database to easily access BLS data by occupation and location.
2. Glassdoor
Glassdoor Salary Data
Self-reported salaries by company
Strengths
- + Company-specific salary ranges
- + Includes bonuses and total comp
- + Job title granularity
- + More current than BLS
- + Employee reviews for context
Limitations
- - Self-reported (potential bias)
- - Limited sample sizes at some companies
- - Requires account to access
- - Data quality varies by company
Best for: Researching specific companies, understanding company-specific comp structures, and preparing for negotiations at known employers.
3. Levels.fyi
Levels.fyi
Tech industry total compensation data
Strengths
- + Detailed total compensation
- + Level/seniority breakdowns
- + Verified data from offer letters
- + Excellent for tech companies
- + Stock compensation details
Limitations
- - Tech industry focused
- - Skews toward large companies
- - Limited non-tech coverage
- - May represent top performers
Best for: Tech workers researching FAANG and similar companies, understanding level-based compensation, and comparing total comp packages.
4. LinkedIn Salary Insights
LinkedIn Salary
Professional network salary data
Strengths
- + Large sample size
- + Spans many industries
- + Experience level filters
- + Integrates with job postings
Limitations
- - Requires LinkedIn account
- - Limited free access
- - Self-reported data
- - US-focused
Best for: Quick salary estimates across industries, understanding how experience affects pay, and filtering by skills and education.
5. Job Postings with Salary Ranges
Job Posting Analysis
Real-time market demand signals
Many states now require salary ranges in job postings (Colorado, California, New York, Washington, and others). These represent what employers are actually willing to pay right now.
Strengths
- + Current market rates
- + Employer-verified ranges
- + Role-specific requirements
- + Company-specific data
Limitations
- - Wide ranges (sometimes meaningless)
- - Not all states require disclosure
- - Time-intensive to collect
- - May represent low-ball offers
Best for: Understanding current market demand, company-specific ranges, and validating other data sources.
Understanding Salary Ranges
Salary data is typically presented as ranges or percentiles. Understanding what these numbers mean helps you target the right compensation level.
Salary Percentiles Explained
Pro tip: For most workers, target the 50th-75th percentile based on your experience level. The 90th percentile typically requires specialized skills, senior titles, or high-paying metros.
Median vs. Average: Which Matters?
Median (50th Percentile)
The middle value: 50% earn more, 50% earn less.
Example: 9 people earn $50K, 1 earns $500K
Median = $50,000
Better for salary research because it's not skewed by outliers.
Mean (Average)
Sum of all salaries divided by count.
Same example: Sum = $950K / 10 people
Mean = $95,000
Can be misleading when high earners skew the data.
When to use average: Mean salary can be useful when evaluating total compensation at tech companies where large equity grants create significant upside. The average may better capture potential earnings.
Location Adjustments
Salaries vary dramatically by location. A software developer in San Francisco might earn $180,000 while the same role in Dallas pays $120,000. However, cost of living differences mean the Dallas salary may provide better purchasing power.
Cost of Living Adjusted Salaries
| Metro Area | Typical Salary | COL Index | Adjusted Value |
|---|---|---|---|
| San Francisco, CA | $150,000 | 180 | $83,333 |
| New York, NY | $140,000 | 170 | $82,353 |
| Seattle, WA | $145,000 | 158 | $91,772 |
| Denver, CO | $120,000 | 128 | $93,750 |
| Austin, TX | $115,000 | 105 | $109,524 |
| Dallas, TX | $105,000 | 96 | $109,375 |
Adjusted Value = Salary / (COL Index / 100). Index of 100 = national average. Source: BLS Consumer Price Index, C2ER Cost of Living Index.
Key insight: Despite lower nominal salaries, Austin and Dallas provide better purchasing power than San Francisco or New York when adjusted for cost of living.
Experience Level Impact
Experience is one of the strongest predictors of salary. Understanding typical progression helps you benchmark yourself accurately and project future earnings.
Typical Salary Progression by Experience
Entry Level (0-2 years)
10th-25th percentileFresh graduates and early career professionals. Learning the role, building foundational skills. Salary typically 20-30% below median.
Early Career (3-5 years)
25th-50th percentileProven competence, handling responsibilities independently. May begin mentoring junior staff. Approaching or reaching median salary.
Mid-Career (5-10 years)
50th-75th percentileSubject matter expertise established. Leading projects or small teams. Often holds senior individual contributor or management title.
Senior/Expert (10+ years)
75th-90th percentileDeep expertise, strategic impact, leadership responsibilities. May include director-level titles, specialized technical roles, or thought leadership positions.
Industry Variations
The same role can pay vastly different amounts depending on industry. Understanding industry pay scales helps you identify where your skills are most valued.
Industry Pay Premium Examples
Same role, different industries (indexed to 100 = average across all industries)
Benefits Valuation
Base salary is only part of the picture. Benefits can add 20-40% to total compensation value. When comparing offers or evaluating your current package, include these components.
Typical Benefits Value
Family coverage, employer typically pays 70-85%
Common: 50% match up to 6% = 3% of salary
15-25 days = 6-10% of salary value
Varies widely: 5-30% target
RSUs, options - can be 20-50% of comp
Total Compensation Example
Base Salary
$100,000
Health Insurance
$12,000
401(k) Match (4%)
$4,000
Target Bonus (10%)
$10,000
Total Compensation
$126,000 (26% above base)
Total Compensation Picture
Understanding total compensation helps you make better career decisions. Here's how to calculate and compare complete packages.
Total Compensation Calculation Worksheet
1. Base Salary
Annual gross pay before taxes
$_______
2. Target Bonus
Expected bonus at 100% achievement
+ $_______
3. Equity/Stock (Annual)
RSUs/options value / vesting years
+ $_______
4. Health Insurance Value
Employer contribution (ask HR)
+ $_______
5. Retirement Match
401(k) match (assume you max it)
+ $_______
6. Other Perks
Tuition, wellness, commuter benefits
+ $_______
TOTAL COMPENSATION
Sum of items 1-6
= $_______
Putting It All Together: Research Process
5-Step Salary Research Process
Start with BLS Data
Use our salary database to find median salaries and percentile ranges for your occupation and metro area. This establishes an unbiased baseline.
Cross-Reference with Glassdoor/LinkedIn
Check self-reported data for your specific companies of interest. Note that these skew higher (happy employees are more likely to report) but provide company-specific insight.
Analyze Job Postings
Review 10-20 current job postings with salary ranges. Focus on roles matching your experience level. This shows what employers are actually offering right now.
Adjust for Your Factors
Factor in your experience level (percentile), specific location (COL adjustment), industry sector (premium/discount), and unique skills or certifications.
Calculate Your Target Range
Synthesize your research into a target range. Your ask should be at the high end; your walk-away point at the low end. Add 10-15% negotiating room to your target.
Frequently Asked Questions
How often is BLS salary data updated?
BLS releases new OEWS data annually, typically in April, based on surveys from the prior year. So 2026 data reflects surveys conducted in 2025. This 18-month lag is normal; supplement with current job postings for the most accurate picture.
Why do salary websites show different numbers?
Different sources use different methodologies. BLS surveys employers; Glassdoor and LinkedIn rely on self-reported data. Self-reported data often skews high because satisfied, well-paid employees are more likely to share. Job postings may show wide ranges or low-ball starting points. Use multiple sources and triangulate.
How do I research salaries for a new role I've never held?
Start by identifying the job title used in your target industry (job titles vary across companies). Research entry-level ranges since you'll likely start at the lower percentiles. Factor in any transferable skills that might justify higher positioning. Conduct informational interviews with people in the role for real-world insight.
Should I share my salary research in negotiations?
Yes, citing data sources strengthens your position. Saying "Based on BLS data and current market rates, the median salary for this role in our metro is $X, and given my Y years of experience, I'm targeting $Z" is more compelling than simply asking for more money. Data-backed requests have 85% higher success rates.
Key Takeaways
- Use multiple sources. BLS for baseline, Glassdoor for company data, job postings for current market.
- Focus on median, not average. Median is more representative and less skewed by outliers.
- Adjust for location. Cost of living dramatically affects real salary value.
- Calculate total compensation. Benefits add 20-40% to base salary value.
- Target 50th-75th percentile. Based on your experience level, with room to negotiate.
Start Your Salary Research
Explore salary data for 80+ occupations across 50 US metro areas. All data sourced from official Bureau of Labor Statistics surveys.
Data Sources & Methodology
Salary research methodologies based on Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) program documentation. Negotiation success statistics from Harvard Business Review and SHRM research. Cost of living data from BLS Consumer Price Index and C2ER Cost of Living Index. Benefits valuation based on Kaiser Family Foundation employer health benefits survey and BLS Employee Benefits Survey.
About the Author
Robert Kim, CCP is a certified compensation professional with 12 years of experience in compensation analysis. He previously worked as an economist at the Bureau of Labor Statistics contributing to the OEWS program. Robert holds a Master's in Economics from Georgetown University and consults with Fortune 500 companies on compensation strategy.