Part of the Math & Statistics suite · 235 calculators

Log-Normal Distribution Calculator

The distribution of anything that grows by multiplication — incomes, particle sizes, share prices — where the logarithm is normal and the values are right-skewed.

If ln X is normal with parameters μ and σ, then X is log-normal.

Results update as you type
Results
P(X ≤ x)
78.883774%
P(X > x)
Median
Mean
Mode
Standard deviation
Coefficient of variation
95th percentile
Skewness
Reviewed September 2026. Pure mathematics: the result does not depend on where you are. Terminology follows US usage (math, parentheses, decimal point).
No account required · Google Analytics off unless allowedCalculator arithmetic runs in your browserResults update as you type
All calculations run 100% in your browser. The calculator code does not submit your figures to GlobalCalc to obtain a result.
About log-normal distribution

How the log-normal distribution calculator works

If ln X is normal with parameters μ and σ, then X is log-normal. The parameters live on the log scale, so the mean of X is e^(μ+σ²/2) — not e^μ, which is the median.

That gap between mean and median is the whole character of the distribution, and it is why the average income is always well above the typical one.

Formula: median = e^μ; mean = e^(μ + σ²/2)

Worked examples

InputsP(X ≤ x)Note
μ = 3, σ = 0.5, x = 3078.883774%median 20.1, mean 22.8
At the median49.999853%50%
Highly skewed60.544433%the mean is three times the median

Frequently asked questions

What is a log-normal distribution?

One whose logarithm is normally distributed. It arises whenever a quantity is the product of many independent factors.

Where does it show up?

Incomes, city sizes, particle diameters, share prices, the duration of tasks, biological measurements — anything multiplicative.

Why is the mean above the median?

Because the right tail is long. Exponentiating a symmetric normal stretches the upper half far more than the lower.

Are μ and σ the mean and SD of the data?

No — they belong to the logarithm. The data's mean is e^(μ+σ²/2), which catches people out constantly.

How do I know if my data is log-normal?

Take logs and check for normality — a histogram, a Q-Q plot, or a Shapiro-Wilk test on the logged values.

Where these figures come from

Last checked: September 2026. Formulas are fixed by mathematics and do not change with tax years or regulations.