Cluster and Factor analysis were performed on 55 well representative groundwater samples taken from Water Authority open files and samples during 2011. A total of 12 water variables data including, Na, Ca, K, Mg, CI, HCO3, SO4 and NO3 beside to chemical analysis like TC, TDS and PH were analyzed. The study finds that there are 2 factor model variation : factor one include concentration of Na , k, Mg ,Cl , EC, TDS ,NO3 ,HCO3, Ca and SO4 ,where as factor 2 includes TC and PH . These 2 factor explains 79.8% of the total groundwater quality variation. A two main hydrochemical groups were demonstrated using Q- mode cluster analysis , the first group shows the similarity between, K, Mg, NO3 and Na ,which probably represent the effects of weathering of the rich feldspare and mica , in addition to agriculture fertilizers. The second cluster is Cl and HCO3 dominated but also contains low concentration of SO4.