Cluster analysis is a technique that makes it possible to identify individuals similar to each other given a range of variables. Among the different tools within cluster analysis, K-Means Clustering was chosen, as a relatively small number of clusters were desired and the researcher can use this tool when the number of clusters is known in advance. Five variables were also chosen as the parametres by which city-regions would be similar or different: population size, population growth, road density, employment in manufacturing and employment in services. All variables were standardised before the cluster analysis was performed.