Prospects and Challenges in Implementing Comprehensive Assistance Programs for Vulnerable Populations in the USA

The article explores the prospects and challenges of implementing comprehensive support programs for vulnerable populations in the USA. Despite high social spending and a significant percentage of the population still living in poverty, the effectiveness of social assistance remains a pressing issue. Although a broad network of government programs exists, numerous barriers hinder access to social services and financial aid. The study aims to examine the impact of government programs on reducing poverty in the USA, analyze key challenges in providing social support, and identify possible solutions. The main objectives include assessing budget expenditures on social protection, identifying critical challenges in the operation of social programs, and formulating recommendations for improving the social support system. The study employed general scientific methods of cognition, such as analysis, synthesis, systematization, comparison, and generalization. Methods of quantitative analysis and expert evaluation were used to collect and process statistical data on the effectiveness of government social programs. The results show that the United States allocated approximately 12.18% of its GDP to social programs in the previous year 2024, but the poverty rate remains at 11%. Major challenges include bureaucratic obstacles, unequal access to social resources, and insufficiently targeted assistance. Systemic shortcomings in the functioning of social programs slow down poverty reduction. The need for simplifying administrative procedures and increasing targeted cash assistance has been identified. To reduce poverty, integrating social support programs with a focus on job training, access to quality education, healthcare, and housing is recommended. A comprehensive approach that considers the interaction of various government initiatives can enhance social mobility and improve the quality of life for the most vulnerable populations.