Abstract: Abstract：The 474 villages in Panzhou city were taken as research objects, the multidimensional poverty evaluation model was established to measure multidimensional poverty in Panzhou village area, and deeply explores its spatial differentiation by combining GIS analysis function, geographic detector and stepwise regression model. Results showed that: (1) The number of poverty-stricken villages in Panzhou City in terms of natural capital dimension, financial capital dimension, human capital dimension and environmental vulnerability dimension are 45, 101, 201, and 17, respectively. The number of human capital poor villages accounts for 42.32% of the total administrative villages. (2) 43 administrative villages in Panzhou were in multidimensional poverty, accounting for about 9.1% of the total number of administrative villages, mainly distributed in the northern and southern regions of Panzhou, and scattered in the central region; (3) The multidimensional poverty spatial heterogeneity of the dominant factor were the distance from incorporated villages to county, the density of road network, ecological protection area proportion, terrain relief, and average height, the distance of the village to township of its secondary role, interaction between all the driving factors and the influence of the spatial heterogeneity of multidimensional poverty was greater than the effect of the single factor effect. The quantitative measurement of multidimensional poverty in Panzhou city was carried out, and the driving force of spatial differentiation was explored, so as to provide a basis for the formulation of poverty alleviation policies in rocky desertification areas and the promotion of regional sustainable development.