Residential Price Index is one of the economic indicators that provides information on residential property development both in the current quarter and the coming quarter. The precise forecasting of residential property price index (RPI) figures in each period will be a good reference for Bank Indonesia and other parties in need in order to anticipate in case of unforeseen events affecting real conditions. In this study, RPI data modeling was conducted during 2003-2020 using ARIMA Box-Jenkins model. The results showed that the best ARIMA models were ARIMA (,2,1) for small houses, ARIMA (0.1,) for medium houses, and ARIMA (1,1,0) for large houses. The forecast results from the best ARIMA model resulted in RPI in the fourth quarter of 2021 of 397.62 for small houses, 357.60 for medium houses, and 315.75 for large houses. This indicates that there is an increase in RPI for the period 2021 in the three categories of houses for the city of Surabaya compared to the base year 2002 and also in 2020, and there is no indication of a bubble property event that is oversupply in 2021.