Municipal infrastructure assets systems are crucial for urban development in Senegal, yet their cost-effectiveness remains underexplored. We employed a multilevel regression model with robust standard errors to analyse data from various municipalities across Senegal, accounting for both individual and contextual effects. Our multilevel regression analysis revealed that the level of investment per capita in municipal infrastructure assets significantly influences their cost-effectiveness. Specifically, an increase in investment by $100 per capita led to a 5% improvement in cost-effectiveness, with a confidence interval for this effect at (3%, 7%). The findings suggest that targeted investments in municipal infrastructure can lead to more efficient and effective asset management systems. Policy makers should prioritise investment strategies based on the analysis of local municipal data to optimise resource allocation and improve service delivery. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.