The main goal of this research is to investigate the centralization trend of economic indicators among the provinces of Iran during the years 2018 and 2022. The current research method is descriptive-analytical and has a practical purpose. The collection of information has been done in the form of a library. The analysis of research data has been carried out quantitatively and through Excel, GIS, and SPSS software. Therefore, the OPA model is used to weight the indicators, the VIKOR decision model is used to rank the provinces of the country based on economic indicators, the CV model is used to evaluate inequalities, and the Kriging interpolation model is used to interpolate the centralization of economic indicators. The results of this research show that according to the VIKOR model, during 2018 and 2022, Tehran province ranked first with the lowest score, followed by Kerman province in 2018 and Yazd province in 2022. The results of the Kriging interpolation model show that in 2018, the concentration of economic indicators in Tehran created a pole of development in this province. Still, with the passage of time and development measures in the country, the focus has reached from Tehran province to other provinces as well as central provinces such as Kerman, Yazd, and Isfahan and in border provinces such as Khorasan Razavi, Hormozgan, Bushehr, Khuzestan, and East Azarbaijan had a better situation than in 2018 which shows the effectiveness of the government's actions in reducing regional inequality in the country.