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ORIGINAL RESEARCH article

Front. Sociol.

Sec. Urban Sociology

Volume 10 - 2025 | doi: 10.3389/fsoc.2025.1492785

The Movement of Class: On Occupation and Everyday Mobility Patterns in the United States

Provisionally accepted
Stephen Rodriguez-Elliott Stephen Rodriguez-Elliott 1Karl Vachuska Karl Vachuska 2*
  • 1 University of Wisconsin–Milwaukee, Milwaukee, Wisconsin, United States
  • 2 University of Wisconsin-Madison, Madison, United States

The final, formatted version of the article will be published soon.

    For much of the last century, class analysis has been a major area of sociology and has provided a critical lens through which scholars analyze social stratification. The attributes of certain class positions are of particular sociological interest given their impact on stratification and the possibility of greater inter- and intra-generational mobility. In this work, I explore one perspective of class analysis that has been neglected in the literature: everyday mobility patterns. As a result of the rising availability of rich cell phone data, everyday mobility patterns have become a popular data source for social science research. However, despite the clear theoretical relationship between everyday mobility patterns and class, little sociological research has connected these two concepts. The analysis, set in the United States, indicates that class—specifically, occupational class—is an extremely strong predictor of mobility patterns and that not all occupations are associated with the mobility patterns one might expect. The findings also indicate that certain occupations are disproportionally exposed to impoverished neighborhoods, and I thus theorize about the occupational attributes that matter most for everyday mobility patterns. I conclude by arguing that novel data sources have the potential to renew interest in class analysis.

    Keywords: Class Analysis, everyday mobility patterns, neighborhoods, Occupation, Social stratification

    Received: 08 Sep 2024; Accepted: 27 Feb 2025.

    Copyright: © 2025 Rodriguez-Elliott and Vachuska. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Karl Vachuska, University of Wisconsin-Madison, Madison, United States

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