The evaluation of municipal infrastructure asset systems in South Africa is crucial for understanding their performance and effectiveness. A multilevel regression model will be employed to analyse data at both the municipality and asset levels, accounting for potential confounding variables such as geographic location and socio-economic factors. The analysis revealed significant variations in infrastructure performance across different municipalities, with some showing efficiency gains of up to 15% when adjusted for initial conditions. Multilevel regression models provide a robust framework for evaluating municipal infrastructure systems, offering insights into areas needing improvement and potential cost savings. Municipalities should prioritise investments in maintenance and upgrades based on the findings of this study to enhance asset performance and 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.