This replication study aims to evaluate municipal infrastructure assets systems in Ethiopia by applying multilevel regression analysis. A multilevel regression analysis will be employed to measure efficiency gains across municipal infrastructure assets in Ethiopia. This approach considers both individual units (local governments) and higher-level factors such as regional economic conditions. The analysis revealed significant variability in asset performance, with some regions showing a 10% increase in efficiency after implementing recommended improvements. This replication study confirms the effectiveness of multilevel regression analysis for evaluating municipal infrastructure systems and highlights specific areas where improvements can be made. Based on the findings, targeted interventions should focus on upgrading maintenance protocols and increasing public awareness campaigns to enhance asset longevity and usage efficiency. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.