In this paper, data of infectious diseases were collected from the two senatorial zones of
Katsina state, and analyzed using cluster analysis, a multivariate technique. This necessitated a partition
of the set of diseases into groups such that the diseases with similar degree of prevalence were identified.
The result of the cluster formation shows that Malaria is more prevalent in all of the two zones, followed
by Cholera and Typhoid fever using the Single Linkage and Centroid methods. The Complete Linkage
and Ward methods showed that Malaria is the most prevalent followed by Typhoid fever and Cholera in
Katsina zone, while in Daura zone Typhoid fever is more prevalent followed by Malaria and Cholera. The
number of clusters tends to vary from one zone to another. This is achieved by using Chi-square test for
independence. The study concludes that the use of clustering methods provides a suitable tool for
assessing the level of infections of the disease