The Grade of Membership (GoM) model is used to outline profiles based on a heterogeneous and multidimensional database, which allows identifying clusters and describing the differences among them. In this study, GoM uses several types of variables so as to improve the understanding of the greatness and power of Amazonian cities. To accomplish this task, a model that takes into account a variety of aspects, which exceed a purely economic or demographic analysis, is proposed. Understanding the hierarchical organization of the cities in the Amazon seems to be a very important exercise in order to understand the dynamics and specific characteristics of regional urban nets. In this way, it is evident that policies which stimulate the establishment of more structured urban nets in the Amazon are needed. A more balanced population distribution throughout the territory could bring a series of benefits, especially when it comes to the offer and access to all different sorts of services.