In the thesis the procedure of development of a landslide susceptibility map of the Slatina City using the bivariate statistical method was presented. The landslide inventory map used for landslide susceptiblity assessment was taken from the Urban Development Plan of the Slatina City from 2003. A total of nine landslide precondition maps were analysed. All are created from the following available data sources: Basic Geological Map in the scale 1:100 000, Croatian Basic Topographic Map in the scale 1:5 000, orthophoto images of the area and Spatial plan of the Slatina City. Digital elevation model of 5-m spatial resolution was created in the framework of the thesis by digitalizating all elevation points and isohypses. It was used as one of the most important input data set for morphological and hydrological parameters.. For the analysis of the influence of individual factor maps and classes, the χ2 test was applied, as well as two methods, the information value method and the Weight of Evidence method. Landslide susceptibility maps were created for four scenarios with a different combinations of factor maps. Four types of landslide susceptiblity classification were applied to all maps. For the final map, it was selected a map derived based on analysis of morphological, hydrological and anthropogenic factorsusing the information value method, classified with the natural breaks method. The final landslide susceptibility map was classified into three landslide susceptibility classes (low, medium, and high landslide susceptibility) and it was verified by comparison with susceptiblity zones defined in 2003 by direct mapping. Despite described limitations, realiability of the final landslide suceptibliy map is high. The created map can be used as a thematic base map for spatial planing because it depict zones that posses special conditions for construction in relation to landslides.