IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/e6msz.html
   My bibliography  Save this paper

U.S. Regional Disparities in Physical Distancing: Evaluating Racial and Socioeconomic Divides During the COVID-19 Pandemic

Author

Listed:
  • Zang, Emma
  • West, Jessica S.
  • Kim, Nathan
  • Pao, Christina

Abstract

Objective To examine regional variation in physical distancing trends over the course of the COVID-19 pandemic, and to investigate inequalities within regions by race and socioeconomic status (SES). Methods Race and SES information from the American Community Survey were matched with location data from mobile device location pings at the Census block group level. We present trends in the proportion of residents staying at home by Census region, race, and SES from February-August, 2020. Results From March-August, the stay-at-home proportion was highest in the Northeast (0.23-0.31) and lowest in the South (0.22-0.28). Nationally, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, likely because Blacks disproportionately live in urban areas, where stay-at-home rates are higher. Physical distancing was higher among block groups that are wealthier, more educated, or contain the lowest proportion of frontline workers. Conclusions Disparities in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results from this study can be used to guide planning and policy recommendations related to COVID-19 mitigation.

Suggested Citation

  • Zang, Emma & West, Jessica S. & Kim, Nathan & Pao, Christina, 2020. "U.S. Regional Disparities in Physical Distancing: Evaluating Racial and Socioeconomic Divides During the COVID-19 Pandemic," SocArXiv e6msz, Center for Open Science.
  • Handle: RePEc:osf:socarx:e6msz
    DOI: 10.31219/osf.io/e6msz
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f4e887a0f9a080171ad92fa/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/e6msz?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2020. "Opinion: Social distancing responses to COVID-19 emergency declarations strongly differentiated by income," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(33), pages 19658-19660, August.
    2. Andrey Simonov & Szymon Sacher & Jean-Pierre Dube & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic," Working Papers 2020-67, Becker Friedman Institute for Research In Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pronkina, Elizaveta & Berniell, Inés & Fawaz, Yarine & Laferrère, Anne & Mira, Pedro, 2023. "The COVID-19 curtain: Can past communist regimes explain the vaccination divide in Europe?," Social Science & Medicine, Elsevier, vol. 321(C).
    2. Diana Tsoy & Danijela Godinic & Qingyan Tong & Bojan Obrenovic & Akmal Khudaykulov & Konstantin Kurpayanidi, 2022. "Impact of Social Media, Extended Parallel Process Model (EPPM) on the Intention to Stay at Home during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-32, June.
    3. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    4. Jan-Emmanuel De Neve & Daisy Fancourt & Christian Krekel & Sarah Swanke, 2020. "Are happier people more compliant? Global evidence from three large-scale surveys during Covid-19 lockdowns," CEP Occasional Papers 54, Centre for Economic Performance, LSE.
    5. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    6. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    7. Danae Arroyos-Calvera & Michalis Drouvelis & Johannes Lohse & Rebecca McDonald, 2020. "Improving compliance with COVID-19 guidance: a workplace field experiment," Discussion Papers 20-30, Department of Economics, University of Birmingham.
    8. Ho Fai Chan & Martin Brumpton & Alison Macintyre & Jefferson Arapoc & David A Savage & Ahmed Skali & David Stadelmann & Benno Torgler, 2020. "How confidence in health care systems affects mobility and compliance during the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    9. Nicola Borri & Francesco Drago & Chiara Santantonio & Francesco Sobbrio, 2021. "The “Great Lockdown”: Inactive workers and mortality by Covid‐19," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2367-2382, September.
    10. Egorov, Georgy & Enikolopov, Ruben & Makarin, Alexey & Petrova, Maria, 2021. "Divided we stay home: Social distancing and ethnic diversity," Journal of Public Economics, Elsevier, vol. 194(C).
    11. Ash, Elliott & Galletta, Sergio & Hangartner, Dominik & Margalit, Yotam & Pinna, Matteo, 2024. "The Effect of Fox News on Health Behavior during COVID-19," Political Analysis, Cambridge University Press, vol. 32(2), pages 275-284, April.
    12. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2021. "How does the financial market update beliefs about the real economy? Evidence from the oil market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 938-961, November.
    13. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2021. "Researchers' Degrees-of-Flexibility and the Credibility of Difference-in-Differences Estimates: Evidence From the Pandemic Policy Evaluations," NBER Working Papers 29550, National Bureau of Economic Research, Inc.
    14. Islam, Asad & Pakrashi, Debayan & Vlassopoulos, Michael & Wang, Liang Choon, 2021. "Stigma and misconceptions in the time of the COVID-19 pandemic: A field experiment in India," Social Science & Medicine, Elsevier, vol. 278(C).
    15. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2023. "Long Social Distancing," Journal of Labor Economics, University of Chicago Press, vol. 41(S1), pages 129-172.
    16. Ori Plonsky & Yefim Roth & Ido Erev, 2021. "Underweighting of rare events in social interactions and its implications to the design of voluntary health applications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 267-289, March.
    17. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
    18. Andrés Niembro & Carla Daniela Calá, 2021. "Approximating the impact of COVID–19 on regional production in countries with scarce subnational data: A proposal and application for Argentina during the first wave," REGION, European Regional Science Association, vol. 8, pages 167-186.
    19. Simon Porcher & Thomas Renault, 2021. "Social distancing beliefs and human mobility: Evidence from Twitter," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
    20. Shin KINOSHITA & Masayuki SATO & Takanori IDA, 2022. "Bayesian Probability Revision and Infection Prevention Behavior in Japan : A Quantitative Analysis of the First Wave of COVID-19," Discussion papers e-22-004, Graduate School of Economics , Kyoto University.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:e6msz. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.