The increasing demand for water resources worldwide brings to the fore water demand management that requires examining factors affecting water consumption patterns. This study focuses on per capita water consumption at the neighborhood level and broadly categorizes its driving factors as demographic, socioeconomic, and urban environments. This study aims to aid water demand management and urban planning by providing a comprehensive overview of per capita water consumption, spatial patterns, and underlying determinants through rigorous analysis and empirical findings. To achieve its aim, this study has two objectives. The first objective is to examine per capita water consumption and neighborhood characteristics. To examine the per capita water consumption and its spatial pattern, with the aim of understanding local variations, the study utilized cluster analysis and spatial autocorrelat൴on techniques. The second objective of this study is to identify factors that influence per capita water consumption by analyzing various factors affecting water consumption. Correlation analysis revealed the link between per capita water consumption and demographic, socioeconomic, and urban environment characteristics, providing a comprehensive understanding of their relationship. The application of multiple linear regression analysis yielded a prediction model that elucidated the collective impact of several factors influencing per capita water consumption. The study shows that socioeconomic status and impervious surfaces substantially impact water consumption, offering valuable insights for c൴ty planners and policymakers to improve water demand management. The research emphasizes the importance of holistic approaches to understanding patterns and trends in water consumption and the quantity of water consumed