Recent advancements in power-distribution equipment systems have been pivotal for enhancing agricultural productivity in South Africa. However, understanding the adoption rates of these technologies remains a challenging task. The study employs multilevel regression analysis with fixed effects, incorporating both individual and contextual variables. A random intercept model is used at the household level to account for unobserved heterogeneity. In a sample of 120 households across five provinces, the estimated fixed effect indicates an adoption rate of 45%, suggesting significant variation in adoption likelihood based on socio-economic factors. Multilevel regression analysis is identified as a robust method for assessing adoption rates of power-distribution equipment systems in diverse rural settings. Future research should consider additional contextual variables to refine the model and enhance its predictive accuracy. Power-Distribution Equipment, Adoption Rates, Multilevel Regression Analysis, South Africa The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.