OBJECTIVE To stud y the s patial distribution and spatial aggregation of pharmacist resources at provincial level in China from 2010 to 2020，and to provide reference for the optimal configuration of pharmacist resources. METHODS Taking the 2011 China Health Statistics Yearbook ，2016 China Health and Family Planning Statistics Yearbook ，2021 China Health Statistics Yearbook and China Statistical Yearbook as data sources ，the spatial distribution of the number of pharmacists per capita in each province in China was described ，and the current situation of pharmacist resource spatial aggregation were analyzed by using global spatial autocorrelation and local spatial autocorrelation methods. RESULTS In 2020，the number of pharmacists per capita in China had certain differences among provinces ，with the highest in Beijing reaching 6.9 people/10 000 people，and the lowest in Hebei at 2.7 people/10 000 people. From 2010 to 2020，the number of pharmacists per capita in all provinces had increased ，with the largest increase in Guizhou （50.6％）and the smallest increase in Liaoning （3.1％）. Results of the global spatial autocorrelation showed that the clustering degree of pharmacist resource allocation per capita decreased gradually from 2010 to 2014. Spatial aggregation of pharmacist resource allocation per capita increased to certain extent from 2016 to 2019，and remained stable in 2020. Results of local spatial autocorrelation showed that Sichuan ，Yunnan and Guizhou presented a low-low aggregation pattern in 2010，while Tianjin presented a high-high aggregation pattern ；in 2015，Sichuan and Yunnan presented a low-low aggregation pattern ，while Tianjin presented a high-high aggregation pattern ；in 2020，Shandong presented a low-low aggregation pattern ，while Tianjin presented a high-high aggregation pattern. CONCLUSIONS From 2010 to 2020，there was a spatial clustering phenomenon in the allocation of pharmacist source per capita at the provincial level in China ，and pharmacist resources are correspondingly concentrated in the Beijing ，Shanghai，Guangzhou and Shenzhen and the economically developed Yangtze River Delta region.