What the salary sites say versus what employers actually filed

Before you negotiate, you probably check a salary site. So we checked them all, for the same roles, on the same day, and put the numbers side by side. The result is the clearest possible argument for why this site exists: the mainstream salary aggregators disagree with each other by tens of thousands of dollars for the identical job title, and some of their numbers are simply broken.

The same job, wildly different numbers

Take a clinical research associate. In July 2026, Payscale put the average at about $78,900. Glassdoor put it at about $113,900. That is a gap of roughly $35,000, or 44 percent, for the exact same two words. A clinical data manager ranged from about $111,500 on Glassdoor to about $144,600 on Salary.com. And the widest of all: a medical writer showed as $75,264 on Salary.com and $166,177 on Glassdoor, a 2.2-fold difference for one title.

If you walked into a negotiation anchored on one of these, you would be negotiating against a number a different reputable site disagrees with by the price of a car.

Sometimes the number is just wrong

It gets worse than disagreement. Some aggregators emit numbers that are plainly broken. ZipRecruiter's model, which matches job-title strings to a wage estimate, produced a US average clinical research associate wage of $12.02 an hour, a figure that is not merely low but impossible for the role, caused by the model matching unrelated postings. It showed a drug-safety and pharmacovigilance figure of about $53,000, less than half what every other source shows, for the same reason. A member using those to set expectations would anchor on a fiction.

Why they disagree

The disagreement is structural, not a bug you can average away. The aggregators measure three different populations three different ways. Glassdoor and Payscale use self-reported salaries, which skew by who bothers to submit and lag when pay bands rise. Indeed and ZipRecruiter scrape job ads and model them, which biases toward advertised midpoints and produces title-collision artifacts. Salary.com models from HR survey data, a different population again. None of them is level-pure, so each blends a first-year associate with a senior specialist under one title, which is exactly how the same role lands anywhere across a $30,000 to $90,000 band.

What to use instead

The site's answer is the one it was built on: prefer numbers with a stated source, a stated sample, and a stated level. Government wage filings, which we process directly, are exact per-person numbers an employer committed to, not a blended model. They cover only some roles, which is why self-reported data from workers has to fill the rest, but they share the discipline the aggregators lack: you know exactly what each number is. When you must use an aggregator, use it as a rough sketch and never as a negotiating anchor, and distrust any figure that comes without a sample size behind it.

What the aggregators cannot give you

The salary sites give you a blended average and call it your market value. They cannot give you the one thing that would actually help: what people at your exact level, role, and employer really earn, with the level stated. That number only exists if workers report it cleanly. If you want the next person to have something better than a $90,000-wide disagreement, add your datapoint, with your level, to the survey.