The objective of this study was to propose a simple method to assess the water quality and to map their spatial variation in terms of suitability for irrigation in Darb El-Arbaein area. 36 surveyed wells with GPS data were used to assess and map the water quality. Multivariate Factor Analysis/Principal Component Analysis was used in order to develop a water quality index (WQI). The results of analyses had been used to map and predict models for water quality. The ordinary Kriging (OK) method was applied to produce the spatial patterns of water quality. Based on these results, the distribution pattern of water quality parameters such as Cl and SAR were produced. The results showed that Circular semivariogram model was best fitted for chloride and Cd parameters where spherical model fitted best for Ni and Zn parameters. Stable semivariogrammodel was best fitted for Pb and SAR parameters while J-Bessel model fitted best for EC parameter. High salinity was due to high chloride concentration in the water. Three of the 36 water samples felt in the moderate WQI. Most of the samples (26) felt in the Doubtful WQI category. Seven samples felt in the higher WQI category. Water samples that felt in the low salinity hazard class and high WQI can be used for irrigation of most crops and the majority of soils. The WQI for the samples ranged from 47.9 to 88.6. The irrigation water quality index distribution maps delineated an area of 266.66ha were suitable for irrigation in villages 3-4 and area of 382.35 were moderate suitability in villages 1-2.