However, an analysis by the Regional Data Cooperative for Greater New Haven, Inc., has shown that due to issues of comparative denominators and other factors, such municipality-based rankings can be considered inaccurate. For example, two cities of identical population can cover widely differing land areas, making such analyses irrelevant. The research organization called for comparisons based on neighborhoods, blocks, or standard methodologies (similar to those used by Brookings, DiversityData, and other established institutions), not based on municipalities.
However , an analysis by the Regional Data Cooperative for Greater New Haven , Inc. , has shown that due to issues of comparative denominators and other factors , such municipality - based rankings can be considered inaccurate . For example , two cities of identical population can cover widely differing land areas , making such analyses irrelevant . The research organization called for comparisons based on neighborhoods , blocks , or standard methodologies ( similar to those used by Brookings , DiversityData , and other established institutions ) , not based on municipalities .
What constant in two cities can create disparities in analysis by way of distribution over differing land areas?
What constant in two cities can create disparities in analysis by way of distribution over differing land areas ?
identical population
identical population