Abstract

This study was conducted to analyze the influence of population, education level, and unemployment rate partially and simultaneously on poverty levels in all districts and cities in West Nusa Tenggara Province. The West Nusa Tenggara Central Statistics Agency provided the secondary data used in this investigation. The data analyzed is in the form of panel data, covering the period 2017 to 2023 according to Regency/City in West Nusa Tenggara Province. To analyze the relationship between independent variables and dependent variables, this study uses the panel data regression method. The study's findings indicate that population and education levels have a strong detrimental impact on poverty. This means that an increase in population and higher education levels tend to reduce poverty levels. Meanwhile, the unemployment rate also has a negative effect on poverty, but the effect is not significant, which means that the increase in unemployment does not directly have a major impact on poverty levels in the areas studied.

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