The paper presents models of the spatial distribution of magnetic susceptibility of soils on the example of the central part of a large city with a diversified economic structure. Measuring the magnetic susceptibility of soils is an express method of assessing the anthropogenic load on the soil cover. The purpose of the work is to create and compare spatial models of magnetic susceptibility of Perm soils. The object of the study is the soil cover of the central part of the Leninsky district of Perm. Spatial modeling of magnetic susceptibility of soils was performed by four interpolation methods – ordinary kriging, simple kriging, RBF, IDW. The ArcGIS Spatial Analyst module was used for modeling. The values of magnetic susceptibility in soils vary significantly: from 0.6 to 8.9 × 10–3 SI. The highest values of magnetic susceptibility of soils were found in the roadside areas of streets with high traffic intensity and in parking lots in the courtyards of residential areas of multi-storey buildings. During the simulation, it was found that the general features of the models of magnetic susceptibility of soils coincide when using all methods, but there are also significant differences. Ordinary and simple kriging have the greatest graphical similarity. The model construc-ted by the simple kriging method is characterized by the smallest interpola-tion error, and the IDW algorithm has the highest prediction error of magnetic susceptibility. The results of simple kriging interpolation do not display areas with a low frequency of values. The optimal method for displaying the results of magnetometric survey is the RBF method. The technique of magnetometric survey of soil cover can be used to map the magnetic susceptibility of soils and study the spatial distribution of technogenic magnetic particles.