With the arrival of the era of big data, Point of Interest (POI), as an important type of geospatial big data, can reflect aggregation conditions of various elements such as urban population density, urban development level and urban development strength directly. Using the geospatial analysis tool in ArcGIS, the POI data classification information of each district (county, city) in Shaoxing was extracted from one popular POI data source. In order to evaluate the balanced distribution level among districts in Shaoxing, POI data combined with population and area information of each district was analyzed. Furthermore, several analysis methods including kernel density analysis, spatial regression analysis and nearest neighbor analysis were used to dig characteristics of POI's geospatial distribution from different perspectives. Our results indicated that among several districts in Shaoxing, the quantity and the kernel density of POI were larger where there was a higher urbanization level. From the perspective of the number of POI per unit area and per unit population, there appeared an unbalanced development level among several districts. Specifically, the Yue District was most developed, followed by Shangyu District, Keqiao District and Zhuji City, while Xinchang County and Shengzhou City were least developed. The regional discrepancy of infrastructure that provides life and production services didn't accord with the fairness principle of sustainable development. Finally, some suggestions about urban construction and planning in Shaoxing were presented for creating a coordinated, fair and sustainable development among different districts.