Higher shares of fluctuating generation from renewable energy sources (RES) in the power system lead to an increase of grid balancing demand. One approach for avoiding RES curtailment, is to use excess electricity feed-in for heating applications. To assess in which regions power-to-heat (PtH) technologies can contribute to RES integration, detailed data on the spatial distribution of the heat demand are needed. In this contribution, we determine the overall heat load in the residential building sector and the share covered by electric heating technologies for each administrative district (NUTS-3) in Germany, with a temporal resolution of 15 minutes. For the detailed regionalisation of the residential building stock, we ordered a special evaluation of the German census data at the Research Data Centre with a combination of six building features. Using these data, 729 building categories were defined and heat demand values were assigned to each category. Furthermore, heating types and different classes of installed heating capacity were defined. Our analysis showed that the share of small scale single-storey heatings and large scale central heatings is higher in cities, whereas there are more medium scale central heatings in rural areas. Both is caused by the different shares of single and multi-family houses in the respective regions. To determine the electrically covered heat demand, we took into account heat pumps and resistive heating technologies. All results, as well as the developed code are published along with this contribution under open source licenses and can thus also be used by other researchers for the assessment of power-to-heat for RES integration.