IDEAS home Printed from

GSUM: Stata module to calculate summary statistics for grouped data


  • Eric C. Hedberg

    () (University of Chicago)


gsum calculates summary statistics for an ordinal variable were each category represents a range of a conceptually continuous variable. gsum provides the weighted N, the mean, the standard deviation, and quantiles 0.25, 0.50 (the median), and 0.75 (you can specify any set of quantiles you want). Each quantile is available as both the midpoint of the category in which the quantile falls, or as a linear interpolation of that quantile based on methods presented by Blalock (1979).

Suggested Citation

  • Eric C. Hedberg, 2011. "GSUM: Stata module to calculate summary statistics for grouped data," Statistical Software Components S457303, Boston College Department of Economics, revised 04 Oct 2011.
  • Handle: RePEc:boc:bocode:s457303
    Note: This module should be installed from within Stata by typing "ssc install gsum". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.

    Download full text from publisher

    File URL:
    File Function: program code
    Download Restriction: no

    File URL:
    File Function: help file
    Download Restriction: no

    File URL:
    File Function: sample data file
    Download Restriction: no

    More about this item


    summary statistics; grouped data; descriptives;


    Access and download statistics


    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:boc:bocode:s457303. 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: (Christopher F Baum). 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.