Count data are non-negative integers representing whole amounts.

When such data are the dependent variable in a regression, Poisson or negative binomial regression may be appropriate methods. One common problem is "zero-inflation" (where the proportion of zero values is greater than predicted by a distributional function); there are various models for dealing with this.

Wikipedia has an article with further references.