Salary research often goes wrong before the negotiation even starts. Someone searches a job title, finds three websites with very different numbers, averages them together and treats the result as market value. The problem is that the underlying jobs may not be comparable at all. A national “operations manager” average can combine employers, industries, locations and levels of responsibility that have little in common with the role you are evaluating.
A better approach is to narrow the comparison step by step. Start with the work itself, then location, industry and level. Use broad wage data to understand the distribution, current postings to see what employers are advertising, and your own scope and experience to decide where within that range your case belongs.
Key Takeaways
- Match the occupation before comparing pay: similar job titles can describe very different responsibilities.
- Use wage distributions, not one average: BLS publishes percentile wages that show how widely pay varies within an occupation.
- Location matters: wages can differ substantially across states and metropolitan areas.
- Industry matters too: the same occupation can have materially different pay across industries.
- Posted salary ranges are evidence, not proof: compare current roles with similar scope rather than collecting every posting with the same title.
- Your experience does not map automatically to a percentile: responsibility, specialized skills, industry and employer context also matter.
- Know what the data exclude: BLS OEWS wage estimates do not include every form of compensation and do not cover self-employed workers.
- Finish with a defensible range: choose a target you can explain rather than presenting a salary website as the final authority.
Start With the Job You Actually Do
The first step is not searching for a salary. It is identifying the correct occupation.
Job titles are inconsistent across employers. “Analyst,” “manager,” “coordinator” and “specialist” can each cover a wide range of work.
Compare the role using:
- core responsibilities;
- decision-making authority;
- technical or professional skills required;
- team or budget responsibility;
- client responsibility;
- complexity of the work;
- required education or credentials; and
- the level of independence expected.
Job title: Operations Manager
Role A: Supervises 35 employees across two locations, owns staffing and budget decisions, and reports to a regional director.
Role B: Coordinates one internal workflow, has no direct reports and escalates budget decisions.
The same title does not make these clean salary comparisons.
BLS Occupational Employment and Wage Statistics classify workers by occupation based on the work performed, which is why matching the duties is more useful than matching the title alone.
Use BLS OEWS as Your Baseline
The Bureau of Labor Statistics’ Occupational Employment and Wage Statistics program is one of the strongest starting points for U.S. salary research. Current OEWS data cover about 830 occupations across the nation, states and approximately 530 metropolitan and nonmetropolitan areas.
The current BLS salary-negotiation guidance uses May 2025 OEWS estimates and specifically explains how the data can support both starting-salary negotiations and requests for a raise.
For each occupation, look beyond the mean wage. BLS publishes percentile wages including:
- 10th percentile;
- 25th percentile;
- 50th percentile, or median;
- 75th percentile; and
- 90th percentile.
| Percentile | What it means |
|---|---|
| 10th | 10% of workers earn at or below this wage |
| 25th | 25% earn at or below this wage |
| Median | Half earn below and half earn above |
| 75th | 75% earn at or below this wage |
| 90th | 90% earn at or below this wage |
The distribution is more useful than a single average because it shows the spread of pay within an occupation.
Do Not Automatically Place Yourself at a Percentile
BLS notes that experience and education can affect where an individual may fall within a wage distribution, but location and industry also matter. A percentile is therefore not a formula such as “five years of experience equals the 75th percentile.”
Narrow the Data to Your Location
National wage data are useful for orientation, but local data are often much more relevant to a negotiation.
BLS publishes OEWS estimates for states and hundreds of metropolitan and nonmetropolitan areas. CareerOneStop’s Salary Finder, sponsored by the U.S. Department of Labor’s Employment and Training Administration, also lets you search wages by occupation and location using BLS OEWS data.
1. Find the national wage distribution for the occupation.
2. Find the state estimate.
3. Find the metropolitan or nonmetropolitan area that best matches the job.
4. Compare how much the local distribution differs from the national one.
If you work remotely, location can be more complicated. Employers may use national pay, employee-location pay zones, headquarters-based ranges or another compensation model. Ask how the employer determines the range instead of assuming a remote job has one national market salary.
Do Not Replace Wage Research With a Cost-of-Living Calculator
A cost-of-living calculator and market wage data answer different questions. Cost of living and market wages are related, but they are not the same thing.
Your personal housing or childcare expenses can determine whether a salary works for you. They do not tell you what employers in that labor market actually pay for a particular occupation.
For negotiation, wage data should usually carry more weight than a calculation that says City A is 18% more expensive than City B.
Check How Much Industry Changes the Range
BLS notes that workers in the same occupation can earn different wages across industries.
That can happen because industries differ in:
- working conditions;
- skill demand;
- location;
- business economics;
- union prevalence;
- regulation;
- customer type; and
- how central the occupation is to the business.
The current BLS salary-negotiation guide gives an example using computer systems analysts. May 2025 mean and percentile wages for that occupation varied materially between industries such as colleges and universities, insurance carriers, computer systems design and aerospace manufacturing.
The lesson is not that one industry always pays more. It is that industry can make a broad cross-industry salary number less relevant.
You work in compensation analysis for a large financial-services company.
A salary range based mainly on nonprofit HR roles may understate the market you compete in. A range drawn only from high-paying technology firms may overstate it.
Use the industry that most closely resembles the employers you would realistically work for.
Add Current Job Postings to the Research
Government wage data show what workers are earning across a broad labor market. Current job postings can show what employers are advertising for roles that are open now.
Search for positions that match:
- occupation;
- location or remote-pay policy;
- level;
- industry;
- team responsibility;
- required experience;
- important technical skills; and
- job scope.
Where a posting includes a salary range, record it together with enough context to know why you considered the job comparable.
| Posting | Range | Why it is comparable |
|---|---|---|
| Employer A | $88,000 to $105,000 | Same metro area, similar industry, individual contributor |
| Employer B | $96,000 to $118,000 | Same occupation but larger portfolio and more senior scope |
| Employer C | $82,000 to $97,000 | Similar scope but smaller organization |
Do not average these three ranges mechanically. Employer B’s broader responsibilities may justify its higher band.
Use Posted Ranges Carefully
A posted range does not necessarily tell you:
- where most hires enter the band;
- how much room exists for future raises;
- how the employer sets pay within the range;
- whether bonus or equity materially changes the package; or
- whether the role is truly equivalent to yours.
Salary-transparency requirements also vary by jurisdiction, so not every U.S. posting will provide a range.
Use Recruiter and Crowdsourced Data as Supporting Evidence
Private salary websites, recruiter reports and employee-submitted compensation data can add useful context, particularly for specialized roles where public datasets are broad.
But they can also introduce problems:
- small sample sizes;
- self-reported data;
- unclear job levels;
- old submissions;
- base salary mixed with total compensation;
- location differences; and
- selection bias.
Use these sources to check whether your BLS and job-posting research is pointing in the same general direction. Avoid allowing one unusually high anonymous submission to become your salary target.
Adjust for Your Actual Scope and Evidence
Once the market research gives you a broad range, compare your own role to the positions behind that range.
Factors that may support a stronger position include:
- broader decision-making authority;
- specialized skills that are relevant to the role;
- management responsibility;
- larger customers or accounts;
- budget ownership;
- credentials required by the job;
- strong directly relevant experience;
- responsibility across multiple locations or functions; and
- a record of results in similar work.
The evidence matters more than the adjective.
Stronger: “The role requires ownership of multi-state payroll operations. I have six years of directly relevant experience, currently own payroll across eight states and led the system conversion the new role would be responsible for maintaining.”
If you are researching for an internal raise, compare how your current responsibilities have changed since your compensation was last set. If you are evaluating an external offer, compare your experience with the actual requirements of the new role.
Know What BLS Wage Data Do Not Measure
OEWS is a strong salary-research source, but it has boundaries.
BLS states that the survey covers wage and salary workers in nonfarm establishments. It does not include:
- self-employed workers;
- owners and partners in unincorporated firms;
- private household workers; or
- unpaid family workers.
That matters if you are comparing an employee salary with freelance, consulting or business income.
OEWS Wages Are Not the Same as Total Compensation
BLS defines OEWS wages as straight-time gross pay. The measure includes items such as base pay, guaranteed pay, commissions, production bonuses and tips, but excludes items including overtime, severance, shift differentials, nonproduction bonuses, employer benefit costs and tuition reimbursement.
So a wage estimate should not be treated as a complete benefits comparison.
If one employer offers a lower base salary but materially stronger health coverage, retirement contributions or another benefit, evaluate those separately.
Annual Estimates Can Use a 2,080-Hour Conversion
For most occupations, BLS calculates annual wage estimates from hourly estimates using a standard 2,080-hour work year. BLS notes that this may not represent actual annual pay for workers who work more or fewer hours.
For occupations where that conversion is not appropriate, BLS may publish only annual or only hourly wages.
If you need to compare an hourly posting with an annual salary, an hourly-to-salary calculator can put both figures on the same basis before you compare the roles.
Build a Market Salary Range You Can Defend
After gathering the evidence, summarize it instead of bringing ten browser tabs into the negotiation.
MARKET SALARY RESEARCH SUMMARY
Occupation: [Best-matching occupation]
Location: [Metro / state / employer pay zone]
Industry: [Relevant industry]
Level / scope: [Individual contributor, senior, manager, etc.]
BLS local wage distribution:
25th percentile: [$]
Median: [$]
75th percentile: [$]
Comparable current postings:
[Posting A: range + why comparable]
[Posting B: range + why comparable]
[Posting C: range + why comparable]
Role-specific evidence:
[Experience, specialized skills, responsibility, results]
Reasonable market range: [$ to $]
Negotiation target: [$ or narrow range]
Your reasonable market range does not have to match one source exactly. It should be a conclusion that the sources collectively support.
BLS local median: $92,000
BLS local 75th percentile: $110,000
Comparable postings: mostly $95,000 to $115,000
Your experience: directly matches the role, with broader responsibility than several postings
Possible research conclusion: roughly $100,000 to $112,000 is a defensible market range for this specific search.
That range is illustrative. It is not a recommendation for any particular occupation.
Turn the Research Into a Negotiation Number
Market research gives you the evidence. Your negotiation strategy determines what you ask for.
For a job offer, consider:
- the employer’s offer;
- the employer’s stated range, if known;
- your market research;
- how closely your experience matches the role;
- the rest of the compensation package; and
- the minimum package you would actually accept.
For a current job, also consider:
- how your role has expanded;
- your current salary;
- your employer’s pay structure;
- your documented results; and
- whether the role may need promotion or re-leveling rather than a normal merit increase.
Then make a request that can be explained in one or two sentences.
The same research can help you answer salary expectations during an interview without guessing. For a new offer, it also gives you evidence for negotiating salary; internally, it can support a raise conversation.
Common Salary Research Mistakes
| Mistake | Better approach |
|---|---|
| Using one national average | Compare occupation, location, industry and wage distribution |
| Matching title instead of duties | Compare actual scope and responsibility |
| Assuming experience equals a percentile | Use experience together with role scope and market context |
| Averaging every salary website | Weight sources by relevance and data quality |
| Counting total compensation as base salary | Separate guaranteed base, variable pay and benefits |
| Using personal expenses as market evidence | Use expenses for your acceptance floor, not market valuation |
| Choosing the highest number you find | Build a range supported by multiple comparable data points |
| Ignoring the employer’s range | Understand where your target fits within the employer’s pay structure |
The purpose of salary research is not to prove that you deserve the highest number available. It is to reduce uncertainty enough that you can make a credible request and recognize whether an offer is competitive.
Frequently Asked Questions (FAQs)
What is the best source for market salary data?
For U.S. wage and salary employees, BLS Occupational Employment and Wage Statistics are a strong baseline because they provide standardized wage data by occupation, location and industry. Current job postings and other credible sources can then add role-specific context.
Should I use the median salary or average salary?
Neither should automatically become your target. The median shows the midpoint of the wage distribution, while the mean is an average that can be affected by very high or low wages. Review the full percentile distribution and compare it with your location, industry and scope.
What salary percentile should I target?
There is no automatic percentile based on years of experience. BLS notes that experience and education can influence where a worker falls, but location and industry also matter. Use your actual responsibilities, skills and relevant evidence to decide where your case fits within the distribution.
How many salary sources should I use?
There is no required number. A strong research set might include BLS local wage data, several genuinely comparable job postings and one or two credible supplemental sources. Relevance matters more than collecting a large number of websites.
Are salary websites accurate?
They can be useful supporting sources, but methodology varies. Some rely on employer data, some on employee submissions and some on modeled estimates. Check whether the data match your location, job level and compensation type before relying on them.
Can I use job-posting salary ranges when negotiating?
Yes, especially when the postings closely match the occupation, location, industry and scope. Use several relevant examples rather than one unusually high posting, and remember that an advertised range does not tell you exactly where an employer will place a particular candidate.
Does BLS salary data include bonuses and benefits?
OEWS wages include some forms of pay, including guaranteed pay, commissions and production bonuses, but exclude items such as nonproduction bonuses, employer benefit costs, overtime and severance. Evaluate total compensation separately when comparing offers.
Can freelancers use BLS salary data?
Only as limited context. OEWS does not cover self-employed workers, and an employee wage is not equivalent to freelance revenue. Freelancers must also account for nonbillable time, business expenses, benefits and taxes when setting prices.
Sources
- U.S. Bureau of Labor Statistics: Using Occupational Employment and Wage Statistics During Salary Negotiations
- U.S. Bureau of Labor Statistics: Occupational Employment and Wage Statistics
- U.S. Bureau of Labor Statistics: State Occupational Employment and Wage Estimates
- U.S. Bureau of Labor Statistics: Metropolitan and Nonmetropolitan Area Wage Estimates
- U.S. Bureau of Labor Statistics: Industry-Specific Occupational Wage Estimates
- U.S. Bureau of Labor Statistics: Technical Notes for May 2025 OEWS Estimates
- CareerOneStop: Salary Finder












