The development of electric mobility and the growing number of electric vehicles on Austria's roads require a constant expansion of the associated charging infrastructure. Due to the multitude of possibilities and options, as well as the comparatively large number of stakeholders that have to be taken into account when developing the charging infrastructure, a strategic approach is recommended when determining the charging infrastructure demand. Existing models for determining this charging infrastructure demand usually only consider the macro-level (Austria-wide) or are regionally limited to one municipality or region. For this reason, this thesis describes the development of a Microsoft-Excel-based tool for determining charging infrastructure potential in Austrian municipalities and cities. The focus lies on the determination of the demand for private electric vehicle drivers and does not consider the technical feasibility of the calculated potential. Based on the analysis of comparable models from other countries and existing studies on the topic, a database with selected data sets of Austrian municipalities will be created. If the existing data sets are not available or incomplete, they can be added manually in a specific input mask. The linking of the data for the calculation of the charging infrastructure potential is based on the charging infrastructure concepts of individual municipalities and the procedure in other models with similar objectives. The development of the electric vehicle stock plays an important role when determining the charging infrastructure demand and thus three scenarios based on the S-curve concept and standard forecasts are calculated. The tool was divided into the four categories "charge at home", "charge at work", "charge at points of interest" (POI) and "charge on the go", whereby the first two areas are discussed more closely, as they are considered to have the highest potential for covering the basic charging demand. The model calculates the demand for charging points in the four categories depending on the selected year and market uptake. In addition, a distinction is made between private charging points (for residential buildings), semi-public charging points (for residential buildings), charging points at companies, charging points at other destinations, public charging points and separate fast charging points. Thus, this model can support municipalities with the development of charging infrastructure and strengthen the uptake of e-mobility in Austria.