IDEAS home Printed from https://ideas.repec.org/a/ags/uersaw/338793.html
   My bibliography  Save this article

Racial and Ethnic Diversification Will Likely Shape U.S. Food Demand and Diet Quality

Author

Listed:
  • Dong, Diansheng
  • Stewart, Hayden

Abstract

The number of people who call the Untied States home continues to grow. Results from the most recent decennial census show that the U.S. population increased from about 309 million in 2010 to about 331 million in 2020. Projections released in by the U.S. Census Bureau put the United States on track to reach more than 400 million inhabitants by 200. Foreign-born residents are forecast to account for about 1 percent of the total U.S. population in 200, up from 14 percent in 2020. Native-born residents, including children of immigrants, are expected to account for 83 percent.

Suggested Citation

  • Dong, Diansheng & Stewart, Hayden, 2022. "Racial and Ethnic Diversification Will Likely Shape U.S. Food Demand and Diet Quality," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022, April.
    • Handle: RePEc:ags:uersaw:338793
    DOI: 10.22004/ag.econ.338793
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/338793/files/Racial%20and%20Ethnic%20Diversification%20Will%20Likely%20Shape%20U.S%20Food%20Demand%20and%20Diet%20Quality.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.338793?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
    ---><---

    More about this item

    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:ags:uersaw:338793. 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.