Abstract: Under the background of global climate change, the drought problem induced by uneven rainfall has seriously threatened crop growth and food security. Exploring the drought characteristics of Jiangxi Province provides theoretical references for disaster prevention, drought resistance,and crop growth. Daily precipitation data of 15 standard meteorological stations in Jiangxi Province from 1957 to 2015 were collected.Then,continuous days without available precipitation(Dnp) was adopted as a drought index to calculate drought frequency,drought station ratio,and drought duration days of different seasons.Finally,the spatial distribution characteristics of drought frequency and  inter-annual variation trend of drought station ratio and drought duration days were obtained.In addition, daily drought frequency was introduced to study dynamics change of different stations in Jiangxi Province. The results showed that: (1) summer and autumn droughts occurred frequently in various regions of Jiangxi Province, which commonly occurred from July to November;(2) spring drought mainly occurred in southern Jiangxi, and the areas with high summer droughts were mainly in the Poyang Lake Plain and southern Ganzhou. Only a small part of the province had mild autumn droughts, and most other areas had severe autumn droughts.The winter drought exhibited a gradually increasing trend from north to south.The worst-hit area of drought in Jiangxi Province was Ganzhou,which suffered from severer droughts throughout the year;(3)The whole province and the sub-regions had the same inter-annual change trend. The inter-annual change trend of spring drought and autumn drought showed an increasing trend, and only the drought intensity in southern Jiangxi decreased slightly. The inter-annual change trend of summer showed a decreasing trend. The winter drought showed an increasing trend in covering area,but a sightly reduction in intensity. The drought situation in southern Jiangxi showed an overall weakening trend, and only the winter drought intensity showed an increasing trend.