Water leakage can be estimated by various methods. Revenue water (RW) ratio is a significant index of water loss management in Korea. Existing methods of forecasting the RW ratio rely on local factors such as residual pressure, pipe length, service life, and leakage occurrence rate in the region. Because of the use of these regional factors, models used for the prediction of RW ratio are complicated and cannot be used for other areas. In this study, four effective factors were used as geospatial information for 41 cities in S. Korea to predict the RW ratio using simple factors in a quantitative analysis. The model for determining the relationship between the RW ratio and the four factors were evaluated through a correlation analysis and a multiple regression analysis using a statistical software (R). The result found that the RW ratio was strongly influenced by the water pressure, which depends on the elevation difference and geographical feature. The parameters for analysis were selected through the use of a prediction model for the RW ratio that applied elevation distribution, slope distribution, pipe distribution and population. The adjusted coefficient of determination (adj R²) was found to be 0.639, indicating that the model used to predict the RW ratio was efficient. This model can be efficiently used as a tool to implement the water loss reduction project in S. Korea.