IDEAS home Printed from
   My bibliography  Save this paper

Linking USDA Nutrition Databases to IRI Household-Based and Store-Based Scanner Data


  • Carlson, Andrea C.
  • Page, Elina Tselepidakis
  • Zimmerman, Thea Palmer
  • Tornow, Carina E.
  • Hermansen, Sigurd


Americans spend about half of their food budgets to purchase about two-thirds of their food from stores. USDA purchases retail and household scanner data for food and economic research covering a broad range of Federal food and nutrition topics that relate to these foodat- home purchases. Although the data contain some nutrient data, they are not sufficient to measure how well Americans follow dietary advice or what may motivate them to do so. USDA compiles extensive nutrient and food group databases to support dietary intake studies including the National Health and Nutrition Examination Survey (NHANES). In this study, we use probabilistic and semantic matching techniques to merge the scanner data with the USDA nutrient and food composition databases. As an illustration, we use the new purchase-to-plate “crosswalk”—consisting of matches and conversion factors—to estimate the overall nutritional quality of Americans’ food-at-home purchases. The 2015 Healthy Eating Index (HEI-2015) score for 2013 retail scanner sales is 55 out of 100, indicating that Americans need to substantially improve the healthfulness of their grocery purchases if they wish to follow the Federal Government’s Dietary Guidelines for Americans.

Suggested Citation

  • Carlson, Andrea C. & Page, Elina Tselepidakis & Zimmerman, Thea Palmer & Tornow, Carina E. & Hermansen, Sigurd, 2019. "Linking USDA Nutrition Databases to IRI Household-Based and Store-Based Scanner Data," Technical Bulletins 291970, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:291970
    DOI: 10.22004/ag.econ.291970

    Download full text from publisher

    File URL:
    Download Restriction: no


    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:uerstb:291970. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.