The city of Darjeeling possesses a distinct terrestrial location and diversified climatic conditions which enable an eternal source of wind power generation. The current study focuses on estimating the characteristics of wind speed and potential for wind power generation in Darjeeling, West Bengal, India in recent years between 2019 and 2023. Statistical methodology has been exploited to develop probability density functions by utilizing continuous probability distributions such as Weibull and Rayleigh distributions for monthly analyses of wind data. The Weibull distribution exhibits a relatively precise assessment of power density verified by higher square of the correlation coefficient (R²), and lower root mean square error (RMSE)values. The outcome of this research provides a critical insight into wind energy potential that serves as a resource for decision-makers and emphasizes the importance of wind energy in Darjeeling district.