In this article, the power divergence statistics are adapted to a family of information criteria that includes Akaike’s information criterion as a special case. The principal application here is to problems involving counts and proportions, although the power-divergence information criterion (PIC) can be used in all those situations where one finds other information criteria being used, such as in the problem of model selection.