In central Punjab, rainfall patterns have been significantly impacted by climate change, leading to anomalies that affect agriculture, water resources, and disaster management. Long-term yearly rainfall data from Multan, Bahawalnagar, and Sargodha are analysed in this work utilising time-series and statistical techniques, such as ARIMA, SARIMA, and L-moment analysis. The findings demonstrate that Sargodha exhibits extremely varied and unpredictable rainfall patterns, Bahawalnagar has the most steady and highest rainfall, and Multan has the least but comparatively consistent rainfall. Forecasts for the years 2017 to 2027 indicate that while Sargodha will continue to have unpredictable rainfall patterns, Bahawalnagar and Multan will continue to have consistent tendencies. The likelihood of severe rainfall occurrences is shown by positive skewness in all three cities. These results highlight how crucial local-scale rainfall studies are for well informed planning in agriculture, water management, and flood control in the face of climate change. In central Punjab, this study offers unique city-scale evidence of rainfall predictability limits under changing climate conditions.