This study assesses the relationship between electricity supply and unemployment in Nigeria. Using a time series annual data from 1990 to 2023, the study employs the Autoregressive Distributed Lag (ARDL) model bounds test and Pairwise Granger causality test to analyze the relationship. The bound test result revealed the existence of long-run cointegration among the variables as the F-statistic 4.433277 is greater than the critical value 3.23 at lower bound level and 4.35 at upper bound level. The Error Correction coefficient is approximately -0.571300 has the expected negative sign and it is also statistically significant considering the probability value which is 0.0026. After a shock, the ECM value indicates an average speed of adjustment to equilibrium, which can be attained with a 57% adjustment speed. Given the statistical significance of the P-values (0.0285 and 0.0045, respectively), the Granger causality test indicates a bi-directional causal relationship between ELS and UR. The study comes to the conclusion that Nigerian unemployment is significantly influenced by the availability of electricity since there is a negative correlation between the two, indicating that a rise in electricity supply may result in a fall in unemployment. The study, therefore recommends that government should prioritize investments in the electricity sector to improve electricity supply and reduce unemployment and also implement policies like Expatriate Employment Levy, Prohibition of Casualization, Redundancy and Business Transfer Regulations, etc., to promote the development of labor-intensive industries that can absorb the unemployed labor force.