The aim of the study is to determine the scale of housing poverty in Europe. To describe poor housing quality a multi-dimensional tool based on the the Integrated Fuzzy and Relative (IFR) methodology was used. This approach allows to include a large number of variables in the analysis and solves the problem of correlation between variables by assigning weights, rather than limiting the number of variables as before. The risk evaluation of bad housing situation is based on micro-data from the EU-SILC for 2020. The study took into account 13 variables describing the technical characteristics of the apartment, the surroundings of the place of residence and the economic conditions of housing maintenance. The analysis was conducted for 32 countries. The multidimensional approach adopted in this study captures the diversity of housing poverty risk between areas of assessment, which is impossible to achieve using traditional housing deprivation measures.