Groundwater pollution is a problem that affects the entire world today and has been around for a long time. To make sure the groundwater is suitable for drinking and irrigation, it is crucial to evaluate its quality, 22 groundwater samples from the Kobo Valley were collected for this study to evaluate the quality of groundwater for irrigation and drinking. A grab sample only reflects performance at the time it was taken, even then, only if the sample was taken properly. Kobo Valley to use them in evaluating water quality, 12 water parameters (Na+, K+, Ca2+, Mg2+, HCO3 SO4 2 NH3, NO3, Cl, TDS, electrical conductivity, and pH) were evaluated for each sample. The samples were examined using APHA (1995) recommended analytical techniques. Analyses were done in GIS, SPSS, and Excel. Several water parameters, including Mg2+ and Cl, K+ and Cl, and Na+ during the dry season, and Na+, SO4 2 during the wet season, were found to have a strong relationship. This relationship was tested using the correlation coefficient. A mathematical model called the water quality index (WQI) is used to aggregate many water parameters into a single indicator value that indicates the water quality level. The Water Quality Index (WQI) results revealed that 9.09% of the study area's samples are excellent, 59.09% are good, 22.72% are poor, 4.54% are very poor, and 4.65 are unfit for drinking in the dry season, while 24.72% of the study area's samples are excellent, 45.45% are good, 23.72% are poor, and 4.64 are unfit for drinking. In terms of irrigation suitability, the study found that the majority of sampling sites are suitable; with less than 4.54% being unsuitable. The dominant water type in the study area is Ca-Mg-HCO 3. The Kobo Valley groundwater basin's samples high WQI values, indicating that the water was unsuitable for direct use and needed to undertake sustainable treatment before being used for drinking purposes. Then, to improve the quality of the groundwater, improve agricultural activites and conservation of the watershed are needed, particularly when a parameter exceeds the standard. Keywords: Groundwater; PI; SAR; Spatial modeling; WQI