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Nigel Marriott's Blog

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Pay Gap Case Study #7 – Does the Department for Work & Pensions have a Gender Pay Gap?

March 5, 2023 By Nigel Marriott

The Department for Work & Pensions (DWP) says for every £1 paid to the median man in March 2022, the median woman was also paid £1.  In other words, their 2022 median gender pay gap using hourly pay was 0%.  However, their Gender Swap Number per 1,000 employees for this date was +26 which immediately raises the question “Have the DWP made an error in their calculations like Cleveland Police did in 2017?”  This was my first reaction which seems remarkable for an employer with 91,006 full pay relevant employees on a public sector pay scale and the largest pool of statisticians of any government department.

[Read more…] about Pay Gap Case Study #7 – Does the Department for Work & Pensions have a Gender Pay Gap?

Filed Under: Diversity Tagged With: Checking for errors, Creative Pay Gapping, DWP, Gender Pay Gap, Median, Narrative, Representation Gap, Swap Number

Pay Gaps #17 – How to Spot an Incorrect Median Gender Pay Gap

August 11, 2020 By Nigel Marriott

I have a spotted an incorrect median gender pay gap published by a well known name in a certain industry.  They shall remain nameless for now since I am trying to get them to accept their error and publish a new gender pay gap report on their website.  I know they have made an error because their published data violates the laws of mathematics as I will explain in this blog.  All it takes to spot such an error is a simple calculation you can do in your head and an understanding what the median measures.

[Read more…] about Pay Gaps #17 – How to Spot an Incorrect Median Gender Pay Gap

Filed Under: Diversity Tagged With: Checking for errors, Data Errors, data quality, Gender Pay Fingerprint, Gender Pay Gap, Median, Statistical Thinking

Pay Gaps #2 – 1 in 10 organisations have published incorrect gender pay gap data. Are you one of them?

May 12, 2018 By Nigel Marriott

The first round of gender pay gap data is now available for all organisations employing more than 250 employees.  The UK now faces the challenge of interpreting this data and using it properly which will not be easy given “the 7 ways to misuse gender pay gap data” I recently wrote about.  In the short term, there is an immediate need to resolve errors in the data published and I will demonstrate that potentially 10-15% of organisations have entered incorrect data into the government’s database. [Read more…] about Pay Gaps #2 – 1 in 10 organisations have published incorrect gender pay gap data. Are you one of them?

Filed Under: Diversity Tagged With: Checking for errors, Data Errors, Data journalism, Gender Pay Gap

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