Understanding Your Salary Data: A Complete Guide
By the SalaryMetro Research Team
Data specialists with expertise in BLS methodology
Last updated: 2026 | 12 min read
Salary data can be confusing. Between percentiles, medians, means, and cost of living adjustments, it is easy to misinterpret the numbers and make poor career decisions as a result. This comprehensive guide explains how to read, interpret, and apply salary statistics to your job search, negotiations, and career planning. By the end, you will understand exactly what the numbers mean and how to use them to your advantage.
In This Guide
Understanding Salary Percentiles
Salary percentiles are one of the most useful but often misunderstood aspects of wage data. A percentile tells you where a particular salary falls within the distribution of all salaries for that occupation. Think of it as your rank among all workers in that field.
What Each Percentile Means
- 10th Percentile (Entry-Level)
- 10% of workers earn less than this amount. This typically represents entry-level positions, new graduates, or workers in lower-paying regions. Use this as your baseline when just starting in a field.
- 25th Percentile (Early Career)
- 25% earn less, 75% earn more. This often represents workers with 1-3 years of experience or those in smaller companies. A reasonable target after your first few years in a role.
- 50th Percentile (Median - Typical)
- The middle point: half earn more, half earn less. This is the most representative measure of what a typical worker in this occupation earns. The median is generally more useful than the average for salary research.
- 75th Percentile (Experienced)
- Only 25% of workers earn more. This represents experienced professionals, those with specialized skills, or workers in high-cost areas. A realistic target for mid-to-senior career professionals.
- 90th Percentile (Top Earners)
- Only 10% earn more than this. This represents senior-level professionals, those in high-demand specialties, or workers in premium markets. Reaching this level typically requires 10+ years of experience or exceptional credentials.
When using percentile data, consider where you fall based on your experience, location, and qualifications. A new graduate should not expect median pay, just as a 15-year veteran should not settle for the 25th percentile without good reason.
Median vs. Mean (Average) Salary
Understanding the difference between median and mean salary is crucial for accurate salary research. These two measures can tell very different stories about compensation in a field.
Median Salary
The middle value when all salaries are sorted from lowest to highest. Half of workers earn more, half earn less.
Best for: Understanding typical pay
Not affected by: Extreme outliers (very high or low salaries)
Example: If 5 workers earn $40K, $50K, $55K, $60K, and $200K, the median is $55K
Mean (Average) Salary
The sum of all salaries divided by the number of workers. Can be skewed by outliers.
Best for: Calculating total payroll costs
Affected by: High earners pulling the average up
Example: Same 5 workers ($40K-$200K), the mean is $81K - significantly higher than median
Key insight: For salary research, median is almost always more useful. The mean can be misleading in fields with a few very high earners (like finance or tech) because those outliers pull the average up beyond what most workers actually earn.
On SalaryMetro, we primarily display median salaries because they give you a more realistic picture of typical compensation. When you see our salary data, you can be confident that half of workers earn more and half earn less than the figure shown.
How the Bureau of Labor Statistics Collects Salary Data
All salary data on SalaryMetro comes from the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) program. Understanding how this data is collected helps you interpret it correctly.
OEWS Survey Methodology
Sample Selection
BLS selects approximately 200,000 business establishments per survey panel, covering all industries except agriculture, private households, and the unincorporated self-employed.
Data Collection
Employers report the number of employees and wages for each occupation in their establishment. Surveys are conducted semi-annually over a three-year cycle, totaling about 1.1 million establishments surveyed.
Reference Period
Data reflects wages as of May of the reference year. For example, the 2026 data on our site reflects wages from May 2025, released approximately 10-11 months later.
Geographic Detail
Data is published at national, state, and metropolitan statistical area (MSA) levels. This allows for precise location-based salary comparisons.
What BLS Data Includes
BLS wage estimates include:
- Base rate of pay
- Cost-of-living allowances
- Guaranteed pay and hazardous-duty pay
- Incentive pay including commissions and production bonuses
- Tips
What BLS Data Does NOT Include
Understanding these exclusions is critical for accurate salary expectations:
- Overtime pay
- Severance pay
- Tuition reimbursement
- Non-cash benefits (health insurance, retirement contributions)
- Stock options, RSUs, or equity compensation
- Self-employed workers and business owners
Cost of Living Adjustments
A $100,000 salary does not have the same value everywhere. Cost of living differences mean that the same nominal salary provides vastly different standards of living depending on location. Understanding these differences is essential for comparing job offers across cities.
Cost of Living Example
To maintain the same standard of living as someone earning $75,000 in Dallas, TX, you would need to earn approximately:
$115,000
San Francisco, CA
+53% more
$105,000
New York, NY
+40% more
$82,000
Seattle, WA
+9% more
$68,000
Phoenix, AZ
-9% less
Estimates based on cost of living indices. Actual differences vary by lifestyle and personal circumstances.
Key Cost of Living Factors
Housing (Largest Factor)
Housing typically accounts for 25-40% of expenses and varies the most between locations. Median rent for a 2-bedroom can range from $1,200 in some cities to $4,000+ in San Francisco or NYC.
State Income Tax
Ranges from 0% (TX, FL, WA, NV, TN, WY, SD, AK, NH) to 13%+ (CA). On a $100K salary, this can mean $10,000+ annual difference in take-home pay.
Transportation
Car-dependent cities require vehicle costs, insurance, and gas. Public transit cities may have lower transportation costs but higher overall cost of living.
Healthcare & Childcare
Regional variations in healthcare and childcare costs can add thousands annually. Research local costs for your specific situation.
Base Salary vs. Total Compensation
Base salary is just one component of total compensation. Benefits, bonuses, and equity can add 20-50% or more to the total value of a compensation package, especially in technology, finance, and senior roles.
Components of Total Compensation
Using Salary Data for Negotiations
Armed with an understanding of salary statistics, you can negotiate more effectively. Here is how to apply salary data to real-world negotiations:
Negotiation Strategy by Percentile
If you are entry-level (target: 25th-50th percentile)
Focus on the 25th percentile as your minimum and the median as your target. Emphasize your potential, relevant skills, and education. Accept that you may start lower but negotiate for early review opportunities.
If you are mid-career (target: 50th-75th percentile)
Use the median as your floor and the 75th percentile as your target. Highlight your track record, quantified achievements, and specialized skills that justify above-median pay.
If you are senior/expert (target: 75th-90th percentile)
Target the 75th percentile minimum with the 90th as your goal. At this level, your unique expertise and leadership abilities justify premium compensation. Focus on the specific value you bring that others cannot.
Best Practices for Using Salary Data
- Use location-specific data. National averages are useful for context, but always reference your specific metro area for negotiations.
- Cross-reference multiple sources. Combine BLS data with Glassdoor, Payscale, and LinkedIn Salary for a complete picture.
- Account for total compensation. A lower base salary with strong equity or benefits may be worth more than a higher base alone.
- Be honest about your percentile. Position yourself accurately based on experience, not aspirationally.
- Consider company size and stage. Startups, mid-size companies, and enterprises have different compensation structures not fully captured in aggregate data.
Start Your Salary Research
Now that you understand how to interpret salary data, explore our comprehensive database with official BLS statistics for 80+ occupations across 50 major US metro areas.