Understanding consumer spending patterns is vital for businesses and policymakers to tailor products and policies effectively. To study spending patterns, a group of individuals was selected, and quantitative data was collected to analyze how they distribute their income across categories such as food, transportation, clothing, entertainment, and savings. The main objective was to investigate the impact of gender and age on spending behavior and savings. Descriptive statistics, including means, Standard deviation, and graphical representations, were used alongside hypothesis testing to examine differences between groups. The findings reveal that food and entertainment account for the largest share of expenditures, with notable variations related to demographic factors such as gender and occupation. These results provide valuable information on consumer priorities and budgeting practices, offering practical implications for market segmentation and policy formulation.