This study aims to analyze the economic growth of Sumatera Utara using an econometric spatial model. Euclidean distance and Moran’s I test were applied to determine the neighborhood and identify the autocorrelation. Based on the Lagrange Multiplier test, the spatial lag model (SAR) was considered. The R Shiny program, which was previously developed by the researcher, was used to estimate the model parameters. The SAR model's diagnostic checking shows that non-autocorrelation, normality, and homogeneity assumptions have been satisfied. Economic growth in the agricultural, forestry, and fishing sectors has a positive and significant effect on increasing economic growth in Sumatera Utara. A good strategy to increase the role of this sector could significantly improve the economy of Sumatera Utara. Coconut production has a positive and significant effect on increasing economic growth in Sumatera Utara. The unemployment rate has a negative and significant effect on the decreasing economic growth in Sumatera Utara. Reducing the unemployment rate could be one strategy to improve the economic growth of Sumatera Utara.