Project Description

Charity gender pay gap

TYPE

Data analysis, data visualisation

DATE

July 2019

COPYRIGHT

OUTPUT

Blog  

TOPIC

Charities, gender pay gap

TOOLS

Python, datawrapper, plotly

TYPE: Data analysis, data visualisation

DATE: July 2019

COPYRIGHT: NCVO

OUTPUT: Blog  

TOPIC: Charities, gender pay gap

TOOLS: Python, datawrapper, plotly

Since 2018, employers in the UK with more than 250 employees are required to report data on the gender pay gap in their organisations. This data is published by the government and available to download on their website. Although it does not group organisations by sector, charities can be identified by matching their company number against records of the Charity Commission.

Python was used to match organisations against the Charity Commission register and analyse the gender pay gap in charities. Findings from the data analysis were published through a blog, including data visualisations created with datawrapper and plotly.

Since 2018, employers in the UK with more than 250 employees are required to report data on the gender pay gap in their organisations. This data is published by the government and available to download on their website. Although it does not group organisations by sector, charities can be identified by matching their company number against records of the Charity Commission.

Python was used to match organisations against the Charity Commission register and analyse the gender pay gap in charities. Findings from the data analysis were published through a blog, including data visualisations created with datawrapper and plotly.