I am not saying my descriptions are perfect, I am explaining the process. Of course the members of the clusters are varying distances from the cluster center (this information is also given) and therefore will not necessarily exactly match the mean characteristics of the cluster. It should also be borne in mind that it is the dominant relevant features of the Ward that are being described. It is highly unlikely that all parts of the Ward will comply with that description. We then get into a discussion about the scale of analysis which I have discussed before on this blog.
So what is the answer to the question? Classification is the next stage in the process after clusters have been created; classification involves the description of clusters based on the characteristics of the cluster members.