Water is a scare resource whose conservation through water loss reduction is significant. This paper seeks to introduce the significance of comparative method that combines hydraulic flow data preparation techniques, minimum night flow method as well as classical linear regression methods to analyze customer consumption and background leakage trend. The authors selected Alexandra, a socio-economic township in Johannesburg, South Africa, as a case study. Existing challenges in Alexandra are high population, high water demand exacerbated by ageing infrastructure and exponential background domestic leakages. The results showed the minimum night flow of 14.01 % measured at a flow rate of 196.39 l/s and a linear regression value (R2) of 0.096. Two comparative property consumption results show linear regression values (R2) of 0.0088 and 2 x 10-5 and a combined flowrate of 364.41 kl per year. The study demonstrated that combination of hydraulic flow data, minimum night flow and linear regress

Bulk Flow Logging, Customer Consumption Trends, Background Leakages, Minimum Night Flows, Water Loss Reduction