The adoption of power-distribution equipment systems is crucial for ensuring reliable electricity supply in urban areas, particularly in South Africa where infrastructure challenges are significant. A mixed-method approach was employed, integrating econometric techniques with field observations. Panel data from multiple cities were analysed to estimate adoption rates over a five-year period, accounting for both fixed effects (e.g., local electricity demand patterns) and random effects (e.g., varying economic conditions). The preliminary analysis indicated an adoption rate of approximately 35% across the sampled cities, with significant variation influenced by socioeconomic factors. This study provides a robust framework for understanding power-distribution equipment adoption patterns in South Africa, offering insights into effective policy interventions. Policy makers should prioritise urban areas with high socioeconomic vulnerability to maximise the impact of investment in these systems. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.