Engendering informality statistics gaps and opportunities: working paper to support revision of the standards for statistics on informality
Gardner, Jessica,,
Kieran Walsh and
Michael Frosch
ILO Working Papers from International Labour Organization
Abstract:
Informality is a dynamic and multidimensional concern that demands gender-sensitive data. In 2018, globally, more than 60% of employment was informal. However, global averages hide that in more countries the share of women in informal employment exceeds that of men. Also, women in the informal economy are often in the most unprotected situations – as domestic workers, home-based workers and contributing family workers – where a lack of visibility can increase their vulnerability. The ILO and its partners are working to engender informality statistics to improve gender data and support countries to respond to data needs on women’s economic empowerment. This working paper was written to support the ILO Working Group for the Revision of the standards for statistics on informality. It explores the demand for gender data on informality and the measurement challenges faced. The paper highlights the opportunities emerging from the revision of statistical standards on informality that are set to be adopted in 2023.
Keywords: informal economy; gender; data collecting; measurement (search for similar items in EconPapers)
Pages: 1 online resource (34 p.) pages
Date: 2022
New Economics Papers: this item is included in nep-iue
References: Add references at CitEc
Citations:
Published in ILO working paper series
Downloads: (external link)
https://doi.org/10.54394/WVEQ4911 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ilo:ilowps:995209293202676
Access Statistics for this paper
More papers in ILO Working Papers from International Labour Organization Contact information at EDIRC.
Bibliographic data for series maintained by Vesa Sivunen ().