Units of observation with reduced dimensions and regular geometry have been increasingly generated in a recent, albeit already steady, trend towards further territorial data disaggregation. In this line of research, the present study reports the results of using the spatial distribution of population data and built-up areas at a high level of territorial data disaggregation with reduced dimensions and with a homogeneous observation unit by applying a regular grid consisting of 250-m square cells. The main objective was to show the results and advantages of working at a high level of spatial data disaggregation. This approach provides a more comprehensive knowledge of the territory and allows for a more accurate analysis of spatial patterns in the different variables under study, thereby enhancing the quality of decision-making processes.