The objective of this research is to examine the impact of human development index and road length infrastructure development on the reduction of economic inequality, as shown by general publication, throughout the period from 2013 to 2022. The inclusion of secondary data is essential in order to provide a comprehensive explanation or response to the research inquiry. The present work used a panel data model with a linear regression methodology, namely the ordinary least squares (OLS) method, for data analysis. The findings indicate that there is a substantial positive relationship between the Human Development Index (HDI) and the improvement of economic inequality. The regression coefficient for HDI is 0.003326, and it is statistically significant with a probability value of 0.0000, which is less than the conventional significance level of 0.05. The length of roads (X2) has a positive impact on the enhancement of economic inequality (Y), as shown by a regression coefficient of 0.00000143 or 1.43E-06. However, this relationship is not statistically significant, as the probability value (Prob.) of 0.2974 is greater than the conventional significance level of 0.05.