Poverty is not just about difficulties in meeting basic needs, but also involves various dimensions of human life such as health, education, future security, and influential social roles. Some factors that influence poverty include the Gender Development Index (GDI), the Human Development Index (HDI), and Economic Growth as measures of human progress and economic development. In this study, the path analysis method is used, allowing us to identify the direct and indirect impacts of independent variables on dependent variables. Thus, we can understand the complex relationship between various factors in the context of poverty. The information used for this study is sourced from the Central Statistics Agency of Central Kalimantan using secondary information in the form of time series data. The findings of this research show that the gender development index has no influence on the economic growth variable. The human development index also does not affect the economic growth variable. Additionally, the gender development index does not affect the poverty level variable. However, the human development index significantly affects the economic growth variable. Meanwhile, economic growth does not affect the poverty level. Finally, the human development index through economic growth does not have a significant impact on the poverty level.

At the national and regional levels, sustainable strategies are needed to address complex and ongoing issues, including poverty, unemployment, and regional minimum wages. There are two factors that are the focus of this study: Provincial Minimum Wage in Central Kalimantan Province: 1) The Impact of Education Level on Poverty and Unemployment; and 2) The Impact of Early Labor Force Participation Rate on Poverty and Unemployment through the Regional Minimum Wage. Time series data from 2014 to 2023 is used as secondary data in this study. The type of data used is quantitative data. The data was analyzed using path analysis, and SPPS 25 was the analysis tool used. Based on the findings, there is a significant indirect relationship between unemployment and poverty and education level. In addition, there is a significant indirect relationship between unemployment and poverty with the initial labor force participation rate, which is influenced by the regional minimum wage.