Every salary site gives you a different number. Here's which one to trust.

You're about to ask for a raise, evaluate a job offer, or reply to a recruiter's email with a number. The question is whether your number reflects what the market is actually paying, or what you're hoping it does.

Ask seven salary sites what your job pays and you will get seven answers, sometimes 30% apart. That is not because six of them are broken. They collect different data, from different people, at different times, and each one is right about something specific. This guide covers the seven sources worth using, what each one's number actually measures, and which to believe when they disagree.

A note on scope: This compares sources for an individual checking their own pay. If you are an HR lead building salary bands for a team, you want a different category of tool (Pave, Compa, Radford, Mercer) and a different article.

The seven salary sources at a glance

1. PayScope

Best for: Mid-career professionals (roughly 5–15 years of experience) who want a benchmarked number calibrated to their actual background before a salary negotiation or job evaluation.

PayScope takes a different approach from traditional benchmarking tools. Rather than asking you to manually select a job title and city from a dropdown, it analyzes your resume or LinkedIn profile to calibrate the estimate against your actual experience, level, and location. The result is a market range that reflects your specific background rather than a generic national average for a title that might describe 40 different roles.

The tool covers US/Canada/EU roles across industries, with real-time market data weighted by city, seniority level, and sector. For a professional preparing for a raise conversation or evaluating a competing offer, it answers the specific question: given what I've done and where I work, what should I be earning?

Limitations: US/Canada/EU market only. The platform is newer than established players like Glassdoor or Payscale, which means its dataset is still growing in depth for niche roles and smaller markets.

Use it when: You're preparing for a specific conversation and need a number calibrated to your actual background rather than a generic title average.

Check your market value on PayScope →

2. LinkedIn pay ranges on job posts

Best for: Seeing what one specific open role pays, while you are already looking at it.

LinkedIn used to run a standalone salary explorer at linkedin.com/salary. It is gone. The URL returns a 404, and the member-reported salary database behind it went with it. What is left is a pay range attached to individual job posts, either entered by the employer or read out of the posting text.

That is still worth checking, because it is the only number on this list that comes from an employer hiring right now for the exact job you are looking at. It is also the narrowest. You see one posting at a time, not a distribution for your title.

Limitations: There is no aggregate view any more, so you cannot look up a role and get percentiles. How much you see depends on how many employers publish pay, which varies by state and by company. And an advertised range is what a company is willing to print, not what it ends up paying.

Use it when: You are already browsing LinkedIn jobs and want a fast read on a specific opening before you apply or answer a recruiter.

3. Glassdoor

Best for: Understanding what a specific company pays before you walk into their interview process.

Glassdoor's salary data is entirely employee-reported, which makes it less rigorous than HR-validated or real-time data but uniquely useful for one thing: company-specific intelligence. If you're interviewing at Salesforce, Stripe, or a Series B startup and want to know what their actual employees say they make, Glassdoor gives you data that other tools simply don't have at that level of specificity.

The free access model (registration required) makes it accessible, and the salary data shows up alongside company reviews, interview questions, and CEO approval ratings, giving you a fuller picture of a company before accepting an offer.

Limitations: Self-reported data with no employer verification means numbers can be skewed. Coverage varies by company size; smaller companies often have too few data points to be reliable. Salary figures frequently include only base salary without bonus or equity context. If Glassdoor is your main source, here is what its numbers are actually built from.

Use it when: You're researching a specific company and want a sense of their pay culture before an interview or offer negotiation.

4. Levels.fyi

Best for: Software engineers, product managers, designers, and data professionals at tech companies who need total compensation data including equity.

Levels.fyi built its reputation on one insight: in tech, base salary is often the smallest part of the compensation picture. The platform collects verified employee submissions that include base salary, annual bonus, and equity grants, making it the most complete picture of what a tech role actually pays in total.

The data covers major tech companies (Google, Meta, Amazon, Microsoft, Apple, and hundreds of smaller companies) with level-by-level breakdowns that reflect how pay scales from entry to principal. Levels.fyi has published over 1M data points across its database, with daily updates from new submissions.

Limitations: Coverage is strongest for large tech companies and US markets. If you're outside software/tech or in a less represented market, the data thins quickly. The platform is also primarily US-focused despite some international data.

Use it when: You're in a technical role evaluating an offer from a tech company and need to understand the full equity-inclusive compensation picture.

5. Payscale

Best for: Professionals who want a detailed, profile-based benchmark that accounts for education, certifications, and specific skills in addition to title and city.

Payscale's individual tool works by asking you to fill out a detailed profile covering your role, location, years of experience, education level, and specific skills. It then produces a personalized salary report based on 250+ compensable factors, drawing from both self-reported employee data and HR-validated employer data.

The depth of the profile-matching makes it more nuanced than a simple title-and-location lookup, particularly useful for roles where compensation varies significantly based on certifications or specialized skills (project managers with PMP certifications, for instance, or data engineers with specific platform experience).

Limitations: The free report provides a range but pushes users toward a paid "Personal Salary Report" for deeper detail. Payscale acknowledges their data is stronger for common roles in large markets and weaker for niche specializations and senior/executive levels. The platform has more coverage for entry and mid-level positions than for $150K+ roles. Data can lag market moves by several months.

Use it when: You want a benchmark that factors in your specific skills and education, particularly for roles where credentials move the needle on compensation.

6. Salary.com

Best for: Professionals who want to see salary data and live job postings side by side, or who need validated HR-reported data rather than self-reported figures.

Salary.com takes a hybrid approach: its data comes from HR-reported employer submissions rather than purely employee self-reporting, which tends to produce more defensible ranges for negotiation purposes. The free tier gives you a salary range for your role, and the interface links salary data directly to live job postings that match your search.

One practical advantage: the HR-sourced data methodology means you can reference Salary.com data in a salary conversation with an employer and have it carry more weight than a Glassdoor screenshot. "Based on Salary.com's HR data" reads differently in a compensation discussion than crowdsourced competitor data.

Limitations: The free tier offers limited depth: detailed percentile breakdowns and the full compensation report require a paid upgrade. Coverage is primarily US-focused. Like all survey-based tools, data is updated periodically rather than in real time.

Use it when: You want HR-sourced data you can cite in a salary negotiation, or you want to cross-reference your range against real job postings in your area.

7. Bureau of Labor Statistics (Occupational Employment and Wage Statistics)

Best for: Anyone who wants an authoritative, government-verified baseline, particularly for non-tech, public sector, or regulated industry roles where BLS data is widely referenced.

The BLS Occupational Employment and Wage Statistics (OEWS) program surveys 1.1 million establishments every year and publishes median and percentile wage data for hundreds of occupations at national, state, and metro-area levels. The data is free, public, and carries the weight of a federal government survey.

For roles in healthcare, education, government, or trades, BLS data is often more relevant and reliable than tech-oriented platforms like Levels.fyi or LinkedIn. It's also the source that HR departments at large companies and public sector organizations use as a baseline.

Limitations: The data is updated annually, typically with a 12–18 month lag from collection to publication. That means BLS figures for a fast-moving role (AI engineer, ML infrastructure) can be noticeably behind the real market. The interface is not user-friendly and requires some familiarity with occupational codes.

Use it when: You're in a non-tech field, working with government or regulated employers, or want an authoritative reference point to anchor a salary conversation in publicly verifiable data.

Where these tools disagree, and which number to trust

No single source gives you the complete picture, and the disagreements between them are informative rather than annoying. Three things explain almost every gap you will see.

The first is who supplied the number. Employees self-reporting (Glassdoor, partly Payscale) skew toward people with something to say about their pay. Employers answering a survey (Salary.com, BLS) report what payroll actually runs. Tools built on live postings (PayScope, LinkedIn job posts) show what is being offered to new hires this month, which sits above what existing staff earn whenever the market is moving.

The second is sample size. A national median for a common title rests on thousands of records; the same tool's figure for your specific employer might rest on four. The third is lag. BLS runs 12 to 18 months behind collection, survey tools refresh on a cycle, and posting-based tools move weekly. When two sources sit more than 15% apart, one of these three is almost always the reason.

The practical rule follows from that. Use posting-based data when you are pricing a move, because that is what an employer would have to pay to hire you today. Use employer-survey data when you are arguing for a raise inside a company, because HR recognizes the methodology. Use Glassdoor for one company, never for a market. And whichever you cite, say where it came from.

The number you bring to a salary conversation should be specific: not "the market pays around $130K" but "based on my research across two data sources, the range for this level in this city is $128K–$145K, and my background puts me at the upper end of that range." That framing is harder to push back on than a general claim.

For a step-by-step guide to turning market research into a winning negotiation, see how to use data to negotiate a better salary.

If you are the one hiring, not the one job-hunting

Some of the people who read this run a small team and need to price one open role, not build a pay structure. The list above splits badly for that job. Glassdoor and BLS hand you a market figure with no view of what your posting is competing against, and the compensation platforms (Pave, Compa, Radford) start at a price and a commitment that only makes sense once there is a comp function behind them.

PayScope sits between the two. Paste the job description and you get a benchmark for that role with city, industry and experience level accounted for, one role at a time. It does not build pay bands, run a comp cycle, or give your team seats, and if that is what you need this is the wrong tool. If it is not, see what a role should pay.

Frequently Asked Questions

Which salary website is the most accurate? No single one, and any article that names an outright winner is selling something. It depends on what you are measuring. For what an employer would pay a new hire right now, posting-based sources are the most current. For what people already in the seat earn, employer-survey data (Salary.com, BLS) is the most rigorous. For one named company, Glassdoor holds data nobody else has, with the weakest verification behind it. Check two, and treat the overlap as your range.

What is salary benchmarking? Salary benchmarking is the process of comparing your current or target compensation against market data for your specific role, level, and location. The goal is to establish what the market pays for work like yours so you can negotiate from a position of knowledge rather than a general sense that you might be underpaid.

What is the best free salary benchmarking tool? For most mid-career US professionals, PayScope's free tier is the most relevant starting point, because it calibrates to your actual resume rather than a generic title lookup. It is free to start and needs an account. Levels.fyi is free for tech roles with equity data. Glassdoor and BLS OES are both free and useful for company-specific and government baseline data respectively.

Are salary benchmarking tools accurate? Accuracy varies by source and role type, and the honest answer is that none of them is accurate the way a payroll record is accurate. Employer-reported data (Salary.com, BLS) is the most defensible for a formal case. Tools built on live postings and verified submissions (PayScope, Levels.fyi) are the most current. Self-reported data (Glassdoor) is the least verified and the most specific to a single company. Cross-referencing two sources reduces your margin of error more than picking a single winner ever will.

What's the difference between salary benchmarking tools for individuals vs. HR teams? Individual benchmarking tools (covered in this article) are designed to help a professional understand their own market value. HR benchmarking tools like Pave, Compa, Radford, and Mercer are designed for compensation teams building pay bands, running equity audits, and managing organization-wide salary structures. The data sources, pricing models, and interfaces are fundamentally different.

How often should I benchmark my salary? Once a year is a reasonable baseline for most professionals. Salary ranges shift faster in some markets than others. If you're in a high-demand field like AI, cloud infrastructure, or cybersecurity, checking every six months is sensible. You should also benchmark proactively before any salary negotiation, job search, or performance review.

What should I do after benchmarking my salary? If your research shows you're at or above market, you have useful data for future reviews. If you're below market by 10% or more, you have the foundation for a market adjustment conversation with your employer, or a more informed job search. See our guide on what to do when you're below market for the next steps.