Abstract
The challenge of poverty, defined as the inability to meet life's essentials, is prevalent in many countries, including Indonesia, particularly in Papua Province, which records the highest poverty rate. Various factors contribute to poverty, such as low education, deteriorating health conditions, rising unemployment, and population growth. This study aims to explore the relationship between these factors and poverty rates, particularly focusing on their impact on the region's increasing poverty levels. The research employs multiple linear regression analysis using time series data and SPSS software. The findings indicate that health status significantly influences poverty levels, exhibiting a strong positive correlation. However, the study finds no significant impact of education on poverty levels, despite a positive correlation. Moreover, population growth shows no significant effect and demonstrates a negative correlation with poverty rates.
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