The Community Explorer How to Inform Effectively Policy on U.S. Diversity with County Level Data

Lopez, Claude and Roh, Hyeongyul and Switek, Maggie (2022): The Community Explorer How to Inform Effectively Policy on U.S. Diversity with County Level Data.

Abstract

The Community Explorer provides novel insightintoon the different characteristics of the U.S. population that can be used in policy design and impact assessment. More broadly, it increases the understanding of socio-economic gaps and potential markets in the U.S.. More specifically, it synthesizes the information of 751 variables across 3142 counties from the Census Bureau’s American Community Survey using machine learning methods, into 17 communities. Each one of these communities has a distinctive profile that combines demographic, economic, and many other behavior determinants while not being geographically bounded.

• Item Type: MPRA Paper
• Language: English
• Keywords: US diversity, equity, machine learning, clusters, census, county level data, data viz, interactive map
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R0 - General; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics; Y - Miscellaneous Categories > Y1 - Data: Tables and Charts

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