This study focuses on evaluating municipal infrastructure assets systems in Rwanda by estimating risk reduction through panel data analysis. A mixed-methods approach incorporating both quantitative (panel data) and qualitative research was employed. The study utilised time-series data from multiple administrative units in Rwanda over a five-year period, applying econometric models for analysis. The estimated model revealed that panel-data estimation significantly reduced the risk of failure for municipal infrastructure assets by approximately 15% compared to traditional methods. This study demonstrated the efficacy of panel data estimation in accurately measuring and reducing risks associated with municipal infrastructure systems, contributing valuable insights for policy development. Policy makers should prioritise adopting robust econometric models like those used in this study to enhance risk management strategies within their municipalities. Risk Reduction, Municipal Infrastructure, Panel Data Estimation, Econometrics, Rwanda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.