Abstract
This article provides a comprehensive analysis of the dynamics and regional characteristics of poverty across the regions of Kazakhstan. The main objective of the study is to describe the changes in poverty levels and identify the key socioeconomic factors influencing these changes. The research methodology includes time-series and comparative analysis, correlation and regression modeling, as well as the application of Granger causality and VAR forecasting methods. The scientific novelty of the study lies in the development of quantitative models that describe the relationships between factors affecting poverty, while accounting for regional specificities. The findings reveal that poverty is closely associated not only with income levels but also with unemployment, population density, and the state of infrastructure. To ensure the effective implementation of poverty reduction policies, comprehensive and regionally differentiated approaches are proposed.