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Abstract
This study analyses the socioeconomic and demographic make‐up of Koreans in Los Angeles metropolis, the largest hub of Koreans in the United States, to better understand the decentralized concentration of Koreans by addressing their within‐ and among‐group variations. By employing the rarely used measures of correspondence and typology analyses, we delineate the boundaries for Korean clusters using Getis and Ord G* local statistic, wherein each cluster's neighborhood and demographic characteristics are compared to gain nuanced insights of within‐group variations, and its evolution during 1970–2010. Cluster level analysis of Koreatown suggests that even though it was classified as a Korean cluster, Korean Americans were unevenly distributed across these clusters, with underrepresentation in white‐dominant neighborhoods, whereas much of their intraurban spaces were shared with Hispanics. All clusters except extended Koreatown exhibited Li's ethnoburb‐style spatial patterns. The Koreatown and suburban clusters were also distinct in terms of their demographic/ethnic, socioeconomic, educational, age/life cycle, and housing characteristics, suggesting socio‐spatial polarization. Our analysis, challenges the commonly perceived notion of Koreans being a homogenous group and Asians being model minorities. We illustrate significant within‐group differences among the Koreangelos. We, thus, propose innovative measures to analyze population groups to flesh out rich narratives of America's fast changing social geographies.
A draft version of this paper was presented at the annual meeting of the American Association of Geographers at San Francisco, 2016. Comments and suggestions from viewers were included while writing and revising this manuscript. We also thank the anonymous reviewers for their critical comments that helped us improve this manuscript. Funding support for the data analyses and a draft version for this research was supported by the Summer Fellowship from the Office of Research and Extension's Scholarly & Research Incentive Funds (SARIF), University of Tennessee, Knoxville.
A draft version of this paper was presented at the annual meeting of the American Association of Geographers at San Francisco, 2016. Comments and suggestions from viewers were included while writing and revising this manuscript. We also thank the anonymous reviewers for their critical comments that helped us improve this manuscript. Funding support for the data analyses and a draft version for this research was supported by the Summer Fellowship from the Office of Research and Extension's Scholarly & Research Incentive Funds (SARIF), University of Tennessee, Knoxville.
Notes
A draft version of this paper was presented at the annual meeting of the American Association of Geographers at San Francisco, 2016. Comments and suggestions from viewers were included while writing and revising this manuscript. We also thank the anonymous reviewers for their critical comments that helped us improve this manuscript. Funding support for the data analyses and a draft version for this research was supported by the Summer Fellowship from the Office of Research and Extension's Scholarly & Research Incentive Funds (SARIF), University of Tennessee, Knoxville.
Additional information
Notes on contributors
Madhuri Sharma
Dr. Madhuri Sharma is an Associate Professor of Geography in the Department of Geography, University of Tennessee, Knoxville. Her research interests include racial/ethnic diversity, segregation and contemporary housing markets [[email protected]].
Donghee Koh
Mr. Donghee Koh is a PhD student (currently an ABD) in the Department of Geography, University of Tennessee, Knoxville. Mr. Koh's research interests include residential segregation, geography of mental health, neighborhood quality and overall human health, and spatial statistics.