Brownfields are undesirable urbanistic heritage and their occurrence is associated with a number of negative effects, which our society tries to minimize repeatedly, both successful-ly and unsuccessfully. Especially in the context of the multi-perspective concept of sustain-able development, the issue of brownfields is accentuated with the intention to reuse aban-doned areas that have lost their original use and regenerate them in a way that enriches not only individual stakeholders but generally the whole society. Although each brownfield is unique within its set of partial characteristics, it is possible to determine by means of math-ematical-statistical methods the key patterns that are important for brownfields in terms of their overall nature. The identification of these common patterns across a selected set of brownfields is important for establishing of general recommendations for their potential re-generation. In our paper, we proceeded from the analysis of 460 non-regenerated brown-fields located in the Czech Republic, and by means of correspondence analysis we deter-mined which categories most influence the potential brownfield regeneration from the per-spective of a two-dimensional (stage) approach. Information on brownfields was taken from the publicly available database of the state-funded company the CzechInvest for 2018 and supplemented by authors with other relevant variables. The analysis of the data revealed factors that may have a major impact in the initial phase of the decision on potential brown-field regeneration, and at the same time factors that do not seem to be substantial for regen-eration. The applicability of the results of our analyses creates space for better-targeted brownfield regeneration policies, especially in the area of specifications for calls for brown-field regeneration projects, their financial support, implementation of process innovations, etc. © 2019, Asociatia Geographia Technica. All rights reserved.