Salary Percentile Calculator — BLS Wage Data by Occupation & State

How to Use the Salary Percentile Calculator

Pick your occupation from the seven sector groups (Technology, Healthcare, Finance & Legal, Education, Trades & Construction, Business & Admin, and Creative & Media). Choose your state — or leave it on National to benchmark against the country as a whole. Toggle between annual salary and hourly rate, then enter what you earn. The tool converts between the two using a 2,080-hour full-time year and instantly places you on the percentile curve published by the Bureau of Labor Statistics.

Why BLS Data Beats Self-Reported Salary Surveys

Sites like Glassdoor, Levels.fyi, and Payscale rely on users voluntarily posting their own salaries. That introduces three systematic biases. Survivorship bias: happy, well-paid employees post more than the frustrated average worker. Selection bias: people in tech-forward urban roles self-report at far higher rates than rural trades workers, skewing the national picture upward. Recency bias: entries from hot hiring years stay in the database long after the market cools. The BLS Occupational Employment and Wage Statistics (OES) program survey is different — it is mandatory for sampled employers, covers roughly 1.1 million establishments over every three-year cycle, and explicitly excludes the self-employed and tips/bonuses so you see base-wage reality.

Reading the 10th-to-90th Percentile Spread

The five numbers in the distribution table tell you the shape of pay in your field. A narrow spread — where the 90th percentile is only about 1.8× the 10th — is typical of unionized, licensed, or credentialed roles like registered nursing, LPN, and pharmacist. Pay rises predictably with tenure and experience; big outlier salaries are rare. A wide spread — where the 90th percentile is 3× or more of the 10th — is the signature of sales, finance, consulting, and law: commission, bonus, and partnership structures create enormous upside but also leave underperformers behind. When you benchmark yourself, always look at the shape of your field’s distribution before deciding whether the 60th percentile is an achievement or a warning sign.

How State Medians Diverge by as Much as 40%

For the same occupation and the same SOC code, BLS OES shows California paying roughly 18% above the national median while Mississippi pays about 18% below it — a spread of close to 40%. Drivers include cost of living (California rent is three to four times Mississippi’s), the local industry mix (tech wages pull up software, finance, and adjacent office medians wherever those industries cluster), union density, and state minimum-wage floors. The District of Columbia is the outlier at roughly 35% above national, driven by federal GS-scale salaries, lobbying, and legal services concentration. When you negotiate remote pay, ask which metro your company uses as its reference before arguing geography — some employers use the company HQ, others use the employee’s actual location, and the difference can be five figures a year.

Using These Numbers in a Salary Negotiation

The most effective salary scripts anchor the conversation on federal data instead of emotion. A battle-tested opener: “I reviewed the May 2024 BLS OES survey for [SOC code — occupation] in [state], where the 75th percentile is [$X]. Given my [N] years of experience and [specific achievement], I was hoping the offer would land closer to that number.” This works for three reasons. First, you’ve moved past vibes into verifiable statistics the hiring manager can check themselves. Second, you’ve picked the 75th percentile rather than the median, which signals ambition without sounding unreasonable. Third, you’ve tied your ask to concrete output, not years served — the two variables good recruiters actually care about. Never cite the 90th percentile unless you can name comparable people there; it invites a “that’s the top of the market” deflection.

The Limits of Percentile Data (and What to Layer On)

Two things BLS OES deliberately does not measure: tips and self-employment income. A server at a high-volume restaurant or a commissioned real-estate agent can earn double what OES reports because tips and self-employed earnings flow through different IRS schedules. OES also reports wages as of a single reference period and updates annually, so during inflationary spikes the data can lag real-market movements by as much as six to nine months. Finally, OES is silent on equity — stock grants, RSUs, and options are excluded even though they can double total compensation in tech and startup roles. The Total Compensation Estimator in this tool exists precisely to bridge that gap: layer your employer-paid health premium, 401(k) match, PTO cash value, and stock target onto your base salary to see the comparison that BLS is missing.

Why Experience Matters Less in the Data Than You Think

BLS OES does not break wages out by years of experience. One surprising finding from adjacent BLS Current Population Survey data is that experience premiums flatten dramatically after about 10–15 years in nearly every white-collar occupation. A software developer with 20 years of experience typically earns 10–20% more than one with 10 years — but a 5-year developer often earns 80% more than a new graduate. The steepest part of a career earnings curve is almost always the first decade. If you’re early career and the percentile looks low, remember the curve’s slope; if you’re late career and above median, that may be as good as the data says it gets without a promotion into a management SOC code with its own (usually much higher) distribution.

How to Verify These Numbers at the BLS Source

Everything in this tool can be cross-checked in minutes. Go to bls.gov/oes and click “OES Data.” Enter the SOC code displayed next to your chosen occupation (for example, 15-1252 for Software Developer). Pick “OES Data by State” and select your state to see the full 10th, 25th, 50th, 75th, and 90th percentile wages published in the May 2024 release. Employers and recruiters cannot dispute numbers straight out of this source — that authority is precisely what makes it the right anchor for any negotiation. For trend data over time, use the Occupational Outlook Handbook at bls.gov/ooh, which layers employment-growth projections on top of the wage data.

Need related tools? Compare your wage trajectory to inflation with the Pay Raise vs Inflation Calculator, or translate an hourly rate to an annual salary with the Salary to Hourly Converter. Browse every Freelance & Business tool for more calculators built around real-world data.