Tackling Gender Gaps in Data

Ironically, in the big data age of today, a significant barrier to women’s inclusion in formal economies is made up of the lack of sex-disaggregated data at the high level. Within this, the lack of more granular data to base models and policies on, the lack of data on related services like internet access, use of bank accounts, feature phones and smartphones, or even inclusion in the national identification process is hard to come by.

In a recent blog detailing ideas for their new project, Strengthening Gender Statistics, officials from the World Bank Group write about challenges to accessing quality gendered data and how to tackle them. They try to understand the vast variety of challenges by grouping them into three categories- challenges to data production, analysis, and dissemination.

Source: World Bank Blog, February 2022

Read also:

Making Women and Girls Visible: Gender Data Gaps and Why They Matter (2018), UN Women

Closing gender data gaps in the world of work- role of the 19th ICLS standards (2020), ILO

Posted by at 3:07 PM

Labels: Inclusive Growth


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