Child trafficking is a long-term criminal phenomenon in China. As one of the serious crimes and complex social problems, it has attracted extensive attention from the public and academic community. Since related studies from the perspective of crime geography started late and most of these studies worked on the pattern of the country, it is urgent to concentrate on high-risk areas and key groups. In this research, we take Guizhou province, one of the major origins of child trafficking in China, as the study area. We use a series of techniques including text analysis, mathematical statistics, and spatial analysis to examine the social-demographic characteristics, spatio-temporal patterns, and influencing factors of child trafficking in Guizhou. Major findings include: (1) more males than females are trafficked in Guizhou, with males aged 1-6 as the main group, followed by aged 12-15, aged 0 and aged 7-11. The trafficked children from Guizhou to other provinces, mainly flow from urban to rural areas while children flow into Guizhou mainly from rural to urban areas. The cross-flow between urban and rural areas is the highest crime flow mode. (2) From 1944 to 2018, the crimes of child trafficking in Guizhou can be divided into three stages: extremely low growth stage (from 1944 to 1984), high fluctuation growth stage (from 1985 to 2000), and low and medium growth stage (from 2001 to 2018). At the same time, the summer half-year and the weekday witness higher incidences of child trafficking months and weeks. (3) At the city level, the crime is predominantly found in the northwestern half of Guizhou, especially in Guiyang city. At the county level, the crime shows a pattern of divergent decline in Guiyang and its surrounding areas. At the site level, it is more common in the open space where people move frequently. The overall crime path is “from Guizhou to the eastern regions of China” and “from Sichuan and Yunnan into Guizhou”, and there is an intercity flow in Guizhou. (4) The crime of child trafficking in Guizhou is mainly affected by the natural population change, family planing policy, floating population, and economic development level.