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Nigel Marriott's Blog

An independent statistician using data to understand our world and to predict the future

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Pay Gap Data #3 – Where can I find gender pay gap data for 2019?

June 2, 2020 By Nigel Marriott

This post was updated on 3rd June 2020 with the latest data

Update 5/4/20 –  On 24th March, the government suspended enforcement of the deadline for reporting 2019 gender pay gaps due to the coronavirus outbreak.  As of now, Only 40% of employers have reported their 2019 data.  Employers are still required to report 2019 data but will not be punished for being late in doing so.

The government requires all organisations employing 250 or more employees to submit gender pay gap data.  All data is available to the public and can be found on the government’s gender pay gap website.  I have downloaded this data and created a spreadsheet tool to present the data in a more user-friendly and visual format.

[Read more…] about Pay Gap Data #3 – Where can I find gender pay gap data for 2019?

Filed Under: Archive Tagged With: 2019, data quality, Gender Pay Gap, Presenting data

COVID19 Deaths #2D – Estimated Excess Deaths in England up to 29th May

June 1, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 2nd June.

[Read more…] about COVID19 Deaths #2D – Estimated Excess Deaths in England up to 29th May

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2C – Estimated Excess Deaths in England up to 15th May

May 16, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 19th May.

[Read more…] about COVID19 Deaths #2C – Estimated Excess Deaths in England up to 15th May

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2B – Estimated Excess Deaths in England up to 8th May

May 11, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 12th May.

[Read more…] about COVID19 Deaths #2B – Estimated Excess Deaths in England up to 8th May

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2A – Estimated Excess Deaths in England up to 1st May

May 3, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I explore how the PHE series can be used to estimate what the ONS will publish for excess deaths in England every Tuesday.

[Read more…] about COVID19 Deaths #2A – Estimated Excess Deaths in England up to 1st May

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

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