Ticks are notorious blood sucking insects causing irritation, restlessness, disease transmission, and lesion on the skin to animals and human. Tick invasion problem urges researching their behavior, geographical distribution, veterinary importance and species distribution statistics. Principal Component Analysis on the dynamics of hard tick species distribution with Generalized Linear Model in R base software was through. Only four genera were observed in the region. Rhipicephalus has higher mean compared to the other three genera, Rhipicephalus pulchilis, 1.746, Rhipicephalus evertsi, 0.7617, Rhipicephalus decoloratus, 0.1901, and Rhipicephalus appendiculatus, 0.1784. Next, the Amblyomma genus follows. The tick species data collected had zero inflated values, the minimum values were all zero, but the maximum values for Rhipicephalus pulchilis, Amblyomma hebraeum and Amblyomma variegatum were 34, 22 and 20. The correlation analysis showed that the between variables correlation is either weak positive or weak negative. Better positive correlations were seen between the Amblyomma genus and some few Rhipicephalus genera. Species Amblyomma variegatum, Amblyomma hebraeum, Amblyomma cohreans, Amblyomma gemma; then follows the Rhipicephalus pulchilis, Rhipicephalus appendiculatus, Hyalomma truncatum and Hyalomma rufenus had high contributions, while the rest were low contributors.

Keywords: ticks, species, Principal Component Analysis, distribution.