Financial behavior is how individuals or households actually behave in a determination of financial behavior. How individuals or households make decisions about their financial behavior. Financial system stability The financial system is one of the macro components that affects the stability of a country's economic financial system. This study is to see the effect of individual / household financial behavior on the stability of the financial system of 33 provinces in Indonesia during 2013 to 2019. The data for this research is secondary data collected from several sources, namely the Bank Indonesia Statistics Bulletin, the Central Agency Regional Economic Studies Bulletin. Statistics in various editions of the year of publication. The method used to analyze the data is the Panel Data Regression method using the Eviews 10 analysis tool. The purpose of this study is to determine the magnitude of the influence of financial behavior on the stability of the financial system in Indonesia. The variables in financial behavior are the dimensions of financial financial inclusion as measured by the access dimension, namely the ratio of the number of bank offices to 100,000 population in 33 provinces, the dimensions of use, namely the number of MSME loans to the total amount of credit in each province, savings and the percentage of poor people in 33 provinces in Indonesia. Financial system stability is measured from the GRDP growth rate in 33 provinces in Indonesia. The findings of this study are that access, use, savings, and poverty are able to explain the GRDP as seen from the R-Square value of 0.92, which means that all independent variables are able to explain the dependent variable while 8% is explained by variables outside the model. When people are able to access UMKM credit available at formal financial institutions, it will increase the GRDP, this can be seen from the MSME credit value increasing by 1%, the PDRB will increase by 0.02%. The relationship between the percentage of poor people and the GRDP also shows a significant relationship where if poverty is reduced by 1%, then GRDP will increase by 9.5%.