The article discusses the methodological aspects of producing maps showing changes in the structure of the residential housing as a result of urban shrinkage. By integrating remote sensing data, statistical information, and field survey data, a comprehensive insight into the dynamics of the residential housing was achieved. The algorithmic framework was tested in three successive stages in three single-industry cities such as Anzhero-Sudzhensk, Novoshakhtinsk, and Kimovsk – former coal mining centers. By examining many data sources, patterns of urban shrinkage were revealed. The resulting cartographic representations serve as a basis for analyzing the patterns of urban shrinkage and the spatial distribution of abandoned buildings, providing an insight into the dynamics of demolished and remaining residential areas. The studied dynamics of urban regions confirm the presence of urban shrinkage features in post-Soviet Russia, where former mining towns have lost their industrial specialization