Abstract
The problem of economic inequality, manifesting itself in various forms such as uneven distribution of income or wealth, is one of the most important and contradictory problems facing modern scientists in the 21st century. The purpose of this study is to examine the correlation between the level of inclusive development and indicators of inequality in development across the world. VOSviewer was used to conduct bibliometric analysis in the Scopus base, enabling visualization of data on inclusive development. Correlation and regression analysis were employed to assess the relationship between the level of inclusive development and various inequality and discrimination indicators, with all statistical data sourced from the World Bank's collection. It was investigated that in developed countries, there is an inverse relationship between the IDI and Gini index, whereas a direct correlation between the IDI and QLI, HPI, and HDI is observed. Additionally, a direct correlation between the inclusivity of society and the gender neutrality of countries is seen, with the correlation being more pronounced in developed countries. To reduce economic inequality and promote inclusive development, measures should be taken to increase access to educational and training opportunities for disadvantaged groups, as well as to invest in infrastructure and public services in disadvantaged areas.