OBJECTIVE： To study the spatial distribution characteristics of pharmaceutical manufacturing industry in China. METHODS： According to public data of listed company， social network analysis method was used to analyze the data of listed companies in China’s pharmaceutical manufacturing industry in respect of network density analysis （including overall network density and individual network density）， network centrality analysis， cohesion analysis， core-edge analysis. The discussion and suggestion was put forward. RESULTS & CONCLUSIONS： As of Sept. 30th， 2015， there were 168 listed companies of national A share listed pharmaceutical manufacturing industry. Analysis of social network analysis software showed that the density of spatial city association network in China’s pharmaceutical manufacturing industry was 0.021 0， and the network was also much dispersed， among which Beijing， Tianjin and Shanghai had the largest individual network. In network centrality analysis， the point outdegree of the whole network was 1.604％ and the point indegree was 1.761％. The point outdegree and point indegree of Beijing were all in the forefront. The betweenness centrality of Beijing， Shanghai， Tianjin and Shenzhen was in high level relatively， and the eigenvector centrality of Beijing， Tianjin， Shanghai， Kunming， Shenzhen and Guangzhou was in high level relatively. Results of cohesion analysis were more comprehensive， the cities in the network could be divided into 8 subgroups. The whole network showed a more obvious core-edge feature. So， the coordinated development of China’s pharmaceutical manufacturing industry can be promoted by paying attention to play radiation driving role of industrial center city， promoting coordinated development of regional industry and forming industrial agglomeration network.