Geostatistical methods are essential in accurate mineral resource estimation, as they account for spatial correlations and uncertainties. This study evaluates the mineral resource of the Gofolo Hill deposit in Western Liberia using the ordinary kriging method, and in addition, applies two traditional estimation methods, the inverse distance weighting method and the nearest neighbor polygon method, for comparative analysis. The study uses 39 reverse circulation drill holes with 200m x 60m grid spacing. The ordinary kriging method estimated a resource of 17.169 million tonnes with an average grade of 35.90%. In comparison, the inverse distance weighting method estimated 16.975 million tonnes at an average grade of 35.53%, while the nearest neighbor polygon method estimated 14.757 million tonnes at an average grade of 38.55%. The results show that the ordinary kriging method provides the most accurate estimates, followed by the inverse distance weighting method, with the nearest neighbor polygon method showing the least precision. The findings emphasize the importance of a geostatistical approach in resource estimation and support their application in mineral evaluation.