Abstract
This analysis examines the spatial clustering of income inequality and its socioeconomic correlates at the meso-scale over the past four decades. Cluster analysis is used to group N=3078 counties into five inequality clusters; and multinomial logistic regression is used to assess the effects of socioeconomic correlates. High and extreme inequality places are concentrated in large metropolitan centers, high amenity rural areas, and parts of the Great Plains and Mountain West. They tend to have better socioeconomic outcomes, with fewer at-risk populations, higher incomes, lower poverty, and greater economic participation. Unequal places are more specialized in high-skill finance and professional services, and in energy-based mining. By contrast, equality places are associated with low-skill services, education and health services, manufacturing, and stable farm economies.
Sign-in/Register to access full text options 
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.
