Uganda faces significant challenges in managing municipal water systems due to inadequate infrastructure and fluctuating rainfall patterns. A systematic literature review will be conducted, focusing on methodologies applied in Ugandan municipal water systems. Time-series forecasting models such as the ARIMA model will be analysed to identify patterns and predict future water demands. Analysis revealed a consistent upward trend in rainfall over recent years, which correlated with an increase in water demand forecasts using ARIMA models. ARIMA models provided reliable predictions for municipal water supply, aiding in the development of robust risk reduction strategies. Ugandan municipalities should integrate ARIMA-based forecasting into their planning processes to improve water management efficiency and reduce risks associated with water scarcity. Municipal Water Systems, Uganda, Time-Series Forecasting, Risk Reduction, ARIMA The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.