Where a salary sits in a distribution, with the median and mean side by side. Salary distributions are right-skewed, so the mean is always above the median and quoting it flatters.
Also called: salary comparison percentile, am i paid well.
You are at the 50%th percentile. The median is 14,00,000 and the mean is 18,25,000, and the gap between them shows the distribution is skewed by the top earners.
This is what the calculation gives for the numbers you entered. It is an estimate, not advice, and it knows nothing about your situation beyond those numbers. Rules for India change on a published schedule; the effective date is shown on every rule-based tool.
Count how many earn less and divide by the total. The comparison worth making is mean against median: pay distributions have a long right tail, so a handful of very high earners drag the mean up while the median stays where most people actually are. An average salary quoted as a mean is therefore higher than what a typical person earns, which is why medians are the honest statistic here.
percentile = those earning less, over the totalEach of these is asserted on every build. If a change to the engine ever moved one of these answers, the build would fail before the page could print it.
Your percentile50%
Five of ten earn less; the median is between the fifth and sixth
Open this exampleYour percentile0%
boundary: the skew this page exists to show
Open this exampleFormula version 1.0.0 · definition 1.0.0 · India · Report a problem with this calculator