This study aims to analyze the effect of average years of schooling, minimum wage, life expectancy, economic growth, and the open unemployment rate on poverty in districts/cities in Banten Province for the period 2010–2024. The method used is panel data regression analysis with the Fixed Effect Model (FEM) approach, as well as further analysis using spatial models and Panel Vector Autoregression (PVAR). The data used are secondary data from the Central Statistics Agency (BPS). The results show that average years of schooling and life expectancy have a negative effect on poverty, while the open unemployment rate has a positive and significant effect. Meanwhile, the minimum wage and economic growth show inconsistent effects on poverty. Spatial analysis indicates spillover effects between regions, and PVAR analysis indicates that education and unemployment are the most dominant factors explaining variations in poverty. Overall, the research findings confirm that poverty alleviation requires improving the quality of human resources, creating jobs, and more inclusive and equitable development policies across regions.