Poverty is one of the social problems faced in every region, there are many factors that are thought to affect poverty. This research aims to analyze the factors that influence poverty in Central Java Province in 2023. In this research, the data analysis method used is factor analysis using Principal Componen Analysis (PCA) to evaluate what factors affect poverty. The variables analyzed include the Gini ratio, Life Expectancy Rate (AHH), Labor Force Participation Rate (TPAK), Average Years of Schooling (RLS), Expected Years of Schooling (HLS), population density, households that have access to proper sanitation, and households that have a source of drinking water. In this study, the data characteristics of the 8 variables show that there are significant variations that indicate differences in the level of welfare and quality of life of the community in each region. The data on the factors that allegedly affect poverty in Central Java Province in 2023 fulfill all assumptions. Based on the results of factor analysis, 2 main factors were formed, namely social welfare and socioeconomic conditions, which can explain the origin variable by 65.596%.