Water demand management depends on measurements reported at the customer level. The temporal resolution of these measurements affects the demand management strategy a utility may implement to foster conservation. Despite the ongoing coverage of advanced metering infrastructure projects, monthly measurements of water consumption are still the most prevalent data sets utilities possess. This research applies a data-driven analysis to explore water demand patterns and pinpoint large customers using a multiannual demand data set. The analysis identifies a range of high-consumption outdoor users by comparing customers' demand to a variable threshold calculated as the average monthly demand of the system. By aggregating individual consumption into district areas using local division data, this project applies a correlation analysis among characteristics of households, such as building area, number of stories, year built, and water demand. Results show that peak consumption can be pinpointed at monthly and seasonal time scales. There is a high positive correlation between districts with big and aging buildings and their water demand. Finally, multiple outdoor users can be identified by using a variable threshold approach across the multiannual water demand data. When analyzing demand during high consumption seasons, the study reports that outdoor water may contribute to up to 60\% of the total demand at specific districts. Water demand management programs can replicate our results to design tailored strategies at different spatial resolutions to implement water conservation strategies.
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