Dasymetric maps are a type of thematic map where boundaries are altered by the distribution of other phenomena, for example, administrative enumeration boundaries are redrawn to better represent the distribution of data classes. Dasymetric maps are an effective means of improving the resolution of historical and present-day census data. In this paper, the dasymetric approach is used to remap the distribution of census data for the city of Baltimore based on residential land use. By overlaying census boundaries with land use and land cover information in a GIS database, census data is partitioned into places where people are known to live based on the land use information. This method is particularly helpful in parts of the city and suburbs where residential land use is uneven, such as new subdivisions or industrial neighborhoods.