Statistical Analysis on Consequences of Rising Fuel Prices on Citizens

This study investigates the broad economic, behavioral, and psychological impacts of rising fuel prices on urban residents in Vadodara, India. Primary data was collected from two key areas Fatehgunj and Tarsali using structured questionnaires to capture citizens’ responses to the ongoing increase in fuel costs. The study had multiple objectives: to evaluate the direct consequences of rising fuel prices on household expenditure, assess the readiness of people to adopt alternative transportation methods, analyze fuel spending across different age groups and income levels, and understand how individuals are adjusting to manage this financial pressure. Furthermore, the study explores the impact of fuel inflation on mental health and seeks citizens’ suggestions on how this issue might be addressed. An additional comparative objective was introduced to examine whether similar fuel pricing challenges are experienced in another developing country, specifically Kenya. A range of statistical tools were employed for data processing and analysis, including SPSS, R, Python, Microsoft Excel, and Power BI. These tools were used to conduct descriptive and inferential analysis, create data visualizations, and draw correlations between demographic variables and spending behaviors. The results reveal a significant shift in travel habits, increased financial stress among middle- and lower-income households, and growing public concern about long-term affordability. Many respondents reported cutting back on non-essential expenses, while others expressed willingness to switch to fuel-efficient vehicles or public transportation. These findings provide valuable insights for policymakers, economists, and urban planners aiming to develop effective strategies to ease the burden of rising fuel prices on the general public.