Abstract: When applied to geographical locale datasets, cluster characterization and comparison techniques meaningfully transform representations of data to facilitate sophisticated locale-specific comparisons and provide location-specific outcome predictions. Outcome predictions may, for example, be based on distributions of locale attributes associated with of a large number of geographic locales and/or by computing statistical probabilities of particular outcomes based on outcome data associated with each of the geographic locales.

Abstract: The disclosed technology facilitates objective comparisons between different geographical locales based on statistical comparisons of associated distributions of locale attributes. According to one implementation, a method disclosed herein includes defining a benchmark cluster having a first distribution of locale attributes; identifying a plurality of locale clusters that each correspond to one of a number of locales within a search zone associated with a different distribution of the locale attributes; assessing satisfaction of a similarity condition by comparing the benchmark cluster and to one or more of the identified locale clusters; and outputting one or more of the locales corresponding to the identified locale clusters satisfying the similarity condition.