One of the outcomes of migration to cities is the formation of certain patterns of residential segregation. Although the bulk of research has demonstrated the segregation of immigrants in metropolises, this subject has not been sufficiently addressed in small towns. Therefore, the present research is an attempt to answer the question of whether in a small city like Qaen, the immigrants had resorted to spatial segregation from a spatial perspective. The data was extracted from the statistical blocks of the 2016 Census of Qaen City and entered into Geo-Segregation Analyzer software to measure segregation indicators. Also, Arc GIS was used for supplemental spatial analyses and multiple regression analysis was conducted by SPSS. The results revealed that in the Evenness dimension, IS was moderate (0.495), the entropy index (H) was low (0.26), and the Gini index was relatively high (0.685). Accordingly, it can be argued that immigrants have not been evenly distributed and concentration in some blocks is evident. The Exposure dimension measured by the xPx index was low (0.258). The Delta index and Absolute Concentration, as indicators of concentration, are both in the moderate range, but the Absolute Clustering index (ACL) is low (0.274) . Still, spatial statistics such as Global Moran's I, General G and Ripley's K Function suggest that immigrants have settled based on a clustered pattern. Also, the low Absolute Centralization index (ACL) indicates a lower tendency of immigrants to the city center. In general, as suggested by most of the indicators, the segregation of immigrants from the rest of the population is confirmed. Further, according to the multiple linear regression, immigrants tend to settle in areas with restricted access to urban services, limited residential areas, and higher population density.