Source: World Bank API (Indicator: SL.TLF.CACT.FE.ZS)

Tools: Python (Pandas, Matplotlib)

Posted by lsz500

4 comments
  1. Would be good to see men for comparison, but interesting in any case!

    (Or is this the % of the labor force that are women?.rather than the % of women that are in the labor force?)

  2. I thought this statistic was interesting but wondered the same as u/FaultierSloth – is the indicator percent of workforce or percent of women in the workforce? So I looked it up and was really surprised to see it’s ALL women 15+ who are employed OR unemployed but looking for work. So it also includes retirees!

    I had a quick glance at the data myself but I think it would be helpful if you parsed:
    * Female labour force participation 25-54 (to exclude students and most caregivers and retirees, according to Worldbank)

    * Female unemployment rate

    * Female employment to population rate (essentially folds out the unemployment rate to give true labour force participation)

    And this one is much harder, but I was thinking about underemployment – women who work part time due to childcare restrictions etc. so I looked it up and you’d need to do a deeper dive into these kinds of reports:

    • ILOSTAT
    • national labour force surveys
    • OECD datasets (for high-income countries)

    Thanks for getting me thinking – it’s a good starting point. Canada is strong on all the metrics largely due to our excellent maternity leave and healthcare, which I think people need to be more aware of.

  3. Congratulation Italy for the “Almost as bad as India” award

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