See where your starting salary ranks. Calculate your salary percentile compared to peers in your field, industry, and degree level.
Starting salary is one of the most important data points in your early career. But a raw number doesn't tell you much without context: $55,000 is excellent for some fields and below average for others. Understanding where your salary falls in the distribution for your peer group helps you evaluate your offer objectively.
Salary distributions for new graduates are roughly normally distributed within each field. This means most salaries cluster around the median, with fewer people at the extremes. Knowing your percentile tells you what percentage of peers earn less than you — a salary at the 75th percentile means you earn more than 75% of comparable workers.
This calculator estimates your salary percentile based on the median and typical spread for your comparison group. It helps you evaluate job offers, negotiate compensation, and set realistic expectations.
Students, parents, and educators all gain valuable perspective from precise starting salary percentile data when planning academic paths, managing workloads, or setting realistic performance goals. Return to this calculator each semester or grading period to stay on top of evolving academic targets.
A $50,000 salary could be the 80th percentile in one field and the 25th percentile in another. Without context, you can't assess whether your compensation is competitive. This calculator provides the statistical framing to turn a raw number into a meaningful benchmark against your peers. Real-time results let you test different scenarios instantly, helping you set achievable goals and build an effective plan for academic success.
Z-score = (Your Salary − Median) / Standard Deviation Percentile = Normal CDF(Z-score) × 100% Where Normal CDF calculates the area under the standard normal curve.
Result: 72nd percentile
Z = ($62,000 − $55,000) / $12,000 = 0.583. Normal CDF(0.583) ≈ 0.72. Your salary is at the 72nd percentile, meaning you earn more than roughly 72% of peers in this comparison group.
Starting salaries within a specific field follow a bell-curve pattern. For a field with a $55K median and $12K standard deviation: roughly 68% of salaries fall between $43K and $67K (one standard deviation), and 95% fall between $31K and $79K (two standard deviations). Salaries outside this range are statistically unusual.
Knowing your percentile is powerful in salary negotiations. If an offer puts you at the 30th percentile, you have strong data-driven grounds to negotiate higher. Frame it as: “Based on market data, this offer is below the median for comparable roles. I'd like to discuss adjusting to the 50th–65th percentile.”
Interestingly, your starting percentile often predicts your career-long percentile. Those who enter at the 75th percentile tend to stay around there, because the same factors (skills, school prestige, negotiation ability) that produce a high starting salary continue to operate throughout the career.
Above the 50th percentile means you earn more than the majority of peers. The 65th–80th percentile is strong. Above 90th is exceptional and typically reflects top schools, hot markets, or high-demand specializations.
The BLS Occupational Outlook Handbook, Glassdoor, PayScale, Levels.fyi (for tech), NACE First Destination Survey, and your school's career center all provide salary data. Use multiple sources for the most accurate picture.
Salary distributions are roughly normal within narrow job categories but can be right-skewed overall (some very high earners pull the average up). Using the median rather than mean helps. The estimate is approximate but useful for benchmarking.
Compare against your specific field and job function for the most meaningful benchmark. A CS graduate comparing against all graduates will appear to be at a very high percentile, but that's misleading for negotiation purposes.
Significantly. A $75K salary is 90th percentile in a low-cost market but maybe 50th in San Francisco. Adjust median and standard deviation for your specific market, or compare using cost-of-living adjusted figures.
This tool is designed for entry-level / starting salary comparisons. As careers progress, salary distributions widen and the percentile model becomes less precise. For mid-career, use industry-specific salary benchmarking tools.