IDEAS home Printed from https://ideas.repec.org/p/oec/stdaaa/2020-02-en.html
   My bibliography  Save this paper

How far are OECD countries from achieving SDG targets for women and girls?: Applying a gender lens to measuring distance to SDG targets

Author

Listed:
  • Guillaume Cohen

    (OECD)

  • Michal Shinwell

    (OECD)

Abstract

The Sustainable Development Goals (SDGs) call to achieve peace and prosperity for all by 2030, leaving no one behind. This paper summarises available evidence to measure the distance that OECD countries need to travel in order to reach SDG targets related to women and girls. It finds that 102 of the 247 indicators in the UN Global Indicator Framework are gender-related. However, in practice, data for OECD countries are available for only 35 indicators, distributed across 9 of the 17 goals. Based on available data, OECD countries are on average closest to meeting targets for women on Health (Goal 3), mortality from homicides and occupational injuries (Goals 16 and 8). Conversely, they are further away from targets in three areas: personal safety (Goal 16), equal representation (Goals 9 and 5) and healthy life-styles (Goals 2 and 3). Where data is available for both men and women, the evidence shows that women are closer to SDG targets than men on all indicators related to Health (Goal 3), but are further away from targets in many employment-related targets (Goals 8 and 9) as well as on feeling safe (Goal 16) and ICT skills (Goal 4). No data are available for the planet goals (Goals 6, 12, 13, 14 and 15), for which few indicators are identified as gender-related.

Suggested Citation

  • Guillaume Cohen & Michal Shinwell, 2020. "How far are OECD countries from achieving SDG targets for women and girls?: Applying a gender lens to measuring distance to SDG targets," OECD Statistics Working Papers 2020/02, OECD Publishing.
  • Handle: RePEc:oec:stdaaa:2020/02-en
    DOI: 10.1787/17a25070-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/17a25070-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/17a25070-en?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

    gender; measurement; SDGs; Sustainable Development Goals;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:stdaaa:2020/02-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/stoecfr.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.