Abstract
ABSTRACT The number of poor people and the total number of people in United States counties are strongly and non-linearly correlated, illustrated by power laws. The total number of people and the number of enterprises in U.S. counties and micropolitan statistical areas are also non-linearly correlated. Graphs of power law data points of the latter relationship visually map the relative prosperity/poverty levels of more than 3000 counties or more than 500 micropolitans despite orders of magnitude differences in population or enterprise numbers. The utility of Prospov maps is illustrated by superimposition of different socioeconomic and entrepreneurial characteristics on them.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
