This article, by utilizing spatial regression model, not only explores the factors affecting the unmarried rate as well as its spacial distribution in Chongqing, but also discusses agglomeration effects and neighborhood effects of the unmarried rate. The results of Moran's I show that Chongqing does have aggregation effects. Namely, the high unmarried rate mainly concentrates in the main urban area, while the low rate is concentrated in the northeast and southeast regions of Chongqing. According to spatial lag model, the five indicators of personal income, proportion of female with tertiary education, female employment rate, sex ratio and agricultural population ratio, have significant impacts on female unmarried rate. However, the results of spatial error model show that there still remain unknown factors affecting the aggregation of unmarried space, which may result from the divorce ethos, different industrial structure and so on.