IDEAS home Printed from https://ideas.repec.org/p/stc/stcp8e/202401100003e.html
   My bibliography  Save this paper

Gender earnings ratio differences among population groups in Canada

Author

Listed:
  • Aneta Bonikowska

Abstract

This study explores differences in mean annual earnings from paid employment between women and men within 11 population groups in Canada. Substantial differences were found in the gender earnings ratio within different population groups. The highest earnings ratio was observed among Black workers, where Black men had the lowest mean earnings of men in the 11 groups. The lowest earnings ratio was among Japanese workers, where men of Japanese origin had the highest mean annual earnings of all groups, surpassing those of White men. Differences in weekly hours worked and sector of employment explained substantial shares of the earnings differences between women and men in all population groups. Differences in occupational distribution further explained some of the gender earnings gaps for many groups. While the overall gender earnings ratio increased in Canada from 1996 to 2016, these gains were not distributed evenly across population groups. Southeast Asian and White women saw the biggest increases in their earnings relative to men in their population groups. There was essentially no change among Black and South Asian workers, and small declines were seen in the gender earnings ratio among Japanese, Latin American, and Arab and West Asian employees.

Suggested Citation

  • Aneta Bonikowska, 2024. "Gender earnings ratio differences among population groups in Canada," Economic and Social Reports 202401100003e, Statistics Canada, Analytical Studies and Modelling Branch.
  • Handle: RePEc:stc:stcp8e:202401100003e
    DOI: https://doi.org/10.25318/36280001202401100003-eng
    as

    Download full text from publisher

    File URL: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2024011/article/00003-eng.htm
    Download Restriction: no

    File URL: https://www150.statcan.gc.ca/n1/en/pub/36-28-0001/2024011/article/00003-eng.pdf?st=yeP2wBVM
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.25318/36280001202401100003-eng?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

    Keywords

    ;
    ;
    ;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:stc:stcp8e:202401100003e. 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: Mark Brown (email available below). General contact details of provider: https://edirc.repec.org/data/stagvca.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.