The zeta distribution is any of a certain parametrized family of discrete probability distributions whose support is the set of positive integers. It can be defined by saying that if X is a random variable with a zeta distribution, then

for x = 1, 2, 3, ..., where s > 1 is a parameter and ζ(s) is Riemann's zeta function.

It can be shown that these are the only probability distributions for which the multiplicities of distinct prime factors of X are independent random variables.

If A is any set of positive integers that has a density, i.e., if

exists, then

is equal to that density. The latter limit still exists in some cases in which A does not have a density. In particular, if A is the set of all positive integers whose first digit is d, then A has no density, but nonetheless the second limit given above exists and is equal to log10(d + 1) − log10(d), in accord with Benford's law.

Some applied statisticians have used the zeta distribution to model various phenomena; see the article on Zipf's law.