IDEAS home Printed from https://ideas.repec.org/a/ags/uersaw/341260.html
   My bibliography  Save this article

New Survey Data Show Online Grocery Shopping Prevalence and Frequency in the United States

Author

Listed:
  • Restrepo, Brandon J.
  • Zeballos, Eliana

Abstract

Since 2006, the USDA, Economic Research Service (ERS) has collected data on time use and eating patterns through the ERS-developed Eating and Health Module of the U.S. Department of Labor Bureau of Labor Statistics’ American Time Use Survey (ATUS). This module has been included as a supplement to the ATUS in 2006–08, 2014–16, and 2022–23. This dataset encompasses a wide array of information, including secondary eating—that is eating while doing another activity considered primary by the respondent—height and weight, physical activity, self-assessed diet quality and health status, USDA food assistance program participation, grocery shopping, and meal preparation. These survey data can help inform analysis on the determinants of dietary intake and diet-related health status.

Suggested Citation

  • Restrepo, Brandon J. & Zeballos, Eliana, 2024. "New Survey Data Show Online Grocery Shopping Prevalence and Frequency in the United States," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2024, February.
    • Handle: RePEc:ags:uersaw:341260
    DOI: 10.22004/ag.econ.341260
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/341260/files/New%20Survey%20Data%20Show%20Online%20Grocery%20Shopping%20Prevalence%20and%20Frequency%20in%20the%20United%20States.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.341260?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
    ---><---

    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:ags:uersaw:341260. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    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.