This chapter presents some applications to real data for the construction of composite indices by different normalization and aggregation methods and the comparison of the results obtained. Section 4.2 is dedicated to the ‘static’ analysis, i.e. the spatial analysis of the phenomenon under study in a given time period, and is based on a data matrix of the type Xn,m = {xij}, with n rows (statistical units) and m columns (individual indicators). The aim is therefore to make relative comparisons between the different units.