<![CDATA[Income distribution inequality remains one of the major challenges in economic development, as it illustrates disparities in welfare across individuals and regions. This study seeks to examine the determinants that influence income inequality across five districts. The variables analyzed include per capita expenditure, average years of schooling, life expectancy, and early marriage. A quantitative research design was employed through panel data regression analysis using a fixed effect model covering the period from 2013 to 2023. The results reveal that higher per capita expenditure contributes a significant positive impact on income inequality, whereas the average years of schooling (RLS) variable shows a negative yet insignificant relationship. In contrast, life expectancy (AHH) and early marriage both display negative and significant effects. These outcomes highlight the necessity for government policies that enhance human capital quality, curb early marriage practices, and promote equitable access to education and healthcare services to narrow income inequality.]]>
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