{"id":7056,"date":"2026-11-08T00:44:42","date_gmt":"2026-11-08T00:44:42","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=7056"},"modified":"2026-11-09T00:21:53","modified_gmt":"2026-11-09T00:21:53","slug":"when-is-equal-pay-day-in-2026","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/when-is-equal-pay-day-in-2026\/","title":{"rendered":"Pay Gaps #31B &#8211; When is Equal Pay Day in 2026?"},"content":{"rendered":"<p class=\"article-editor-content__paragraph article-editor-content__has-focus\">When is <strong>#EqualPayDay<\/strong> in the UK in 2026?<\/p>\n<p class=\"article-editor-content__paragraph\">No-one knows is the correct answer.\u00a0 That&#8217;s because there are no national measurements of the extent of unequal pay in the UK e.g. a woman being paid less than a man for the doing the same job.<\/p>\n<p class=\"article-editor-content__paragraph\">If you see anyone talking about &#8220;<span style=\"color: #993300;\"><em>Equal Pay Day<\/em><\/span>&#8220;, they are in fact talking about <span style=\"color: #000000;\"><strong>#GenderPayGapDay<\/strong><\/span>, the day on which the typical women &#8220;<em><span style=\"color: #993300;\">starts working for free&#8221;<\/span><\/em> when compared with the typical man irrespective of what job they are doing.\u00a0 Of course, as everyone knows, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gap-12-conflating-equal-pay-with-gender-pay-gap\/\" target=\"_blank\" rel=\"noopener\">gender pay gaps do not and cannot measure the extent of unequal pay in any shape or form<\/a>.<\/p>\n<p>For 2026, the <span style=\"color: #0000ff;\"><strong>ONS<\/strong> <\/span>(Office of National Statistics) <a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/datasets\/allemployeesashetable1\" target=\"_blank\" rel=\"noopener\">has published <strong>30<\/strong> different gender pay gap statistics<\/a>.\u00a0 This means we could have <strong>30<\/strong> different gender pay gap days\u00a0so how do we decide which one to use?<\/p>\n<p><!--more--><\/p>\n<h5><span style=\"color: #008000;\"><strong>Where to find 30 gender pay gaps<\/strong><\/span><\/h5>\n<p><span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> use their <span style=\"color: #0000ff;\"><strong>ASHE<\/strong><\/span> (<strong>Annual Survey of Hours and Earnings<\/strong>) to estimate pay by sex as of April 5th of each year.\u00a0 For more details on <span style=\"color: #0000ff;\"><strong>ASHE<\/strong><\/span>, please read my article &#8220;<span style=\"color: #993300;\"><em><strong><a style=\"color: #993300;\" href=\"https:\/\/marriott-stats.com\/nigels-blog\/when-will-the-gender-pay-gap-disappear\/\" target=\"_blank\" rel=\"noopener\">Are we there yet?<\/a><\/strong><\/em><\/span>&#8221;<\/p>\n<p>These estimates are normally published at the end of October of each year in three places &#8211;<\/p>\n<ol>\n<li><a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/bulletins\/genderpaygapintheuk\/latest\" target=\"_blank\" rel=\"noopener\"><strong>Gender Pay Gap in the UK<\/strong><\/a> &#8211; this is an annual report showing some of the <strong>30<\/strong> pay gap statistics broken down by a variety of categories.\u00a0 The most common pay gap quoted is based on median hourly pay excluding overtime.\u00a0 However, this report only links to a <a href=\"https:\/\/www.ons.gov.uk\/redir\/eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpbmRleCI6MSwicGFnZVNpemUiOjEwLCJwYWdlIjoxLCJ1cmkiOiIvZW1wbG95bWVudGFuZGxhYm91cm1hcmtldC9wZW9wbGVpbndvcmsvZWFybmluZ3NhbmR3b3JraW5naG91cnMvZGF0YXNldHMvYW5udWFsc3VydmV5b2Zob3Vyc2FuZGVhcm5pbmdzYXNoZWdlbmRlcnBheWdhcHRhYmxlcyIsImxpc3RUeXBlIjoicmVsYXRlZGRhdGEifQ.YA4gHD6SmTvfsltmEAanj27x1RupdSvxWkJJRV1hTlo\" target=\"_blank\" rel=\"noopener\">data download for the pay gap percentages here<\/a>, not the pay figures by sex used to calculate the pay gap.<\/li>\n<li><strong><a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/datasets\/allemployeesashetable1\" target=\"_blank\" rel=\"noopener\">Pay &amp; Hours Data by Sex<\/a><\/strong> &#8211; here you can download a zipped file of spreadsheets containing the data used to calculate the <strong>30<\/strong> <span style=\"color: #800000;\"><strong>provisional<\/strong> <\/span>pay gap statistics in <strong>2026<\/strong> only. The same link also allows you to download separate zipped files for the <span style=\"color: #800000;\"><strong>provisional 2025<\/strong><\/span> pay gap stats and the final <span style=\"color: #008000;\"><strong>revised 2025<\/strong><\/span> pay gap stats and for earlier years going back to 1997.\n<ul>\n<li>These files also show the <strong>Percentiles<\/strong> of the distributions of men and women&#8217;s pay which is data I have not yet made use of.<\/li>\n<li>Each pay\/hours data file has an accompanying file showing the <strong>Coefficient of Variation<\/strong> (<strong>CV<\/strong>) for each estimate.\u00a0 The CV is the standard deviation of a measure divided by its average.<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/datasets\/ashe1997to2015selectedestimates\" target=\"_blank\" rel=\"noopener\"><strong>Historical Pay &amp; Hours Data by Sex<\/strong><\/a> &#8211; here you can download 1997 to 2026 time series of the data in link 2 above for most of the <strong>30<\/strong> pay gap statistics but unfortunately not for all of them.\n<ul>\n<li>Where gaps appear, you will have to use link 2 above to download the final revised pay gap stats for each of the missing years.<\/li>\n<li>Note ONS have made some changes to their methodology in some years which could create some discontinuities.\u00a0 These are pointed out in the download.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>All charts and tables in this article are based on Pay &amp; Hours Data from link 2 above using provisional estimates for 2026 and revised estimates for 2025.<\/p>\n<ul>\n<li>For earlier versions of this article, please click on the relevant year &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/when-is-equal-pay-day-in-2024\/\">2024<\/a>, 2026<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #008000;\"><strong>How did the ONS arrive at 30 pay gap statistics?<\/strong><\/span><\/h5>\n<p>The <strong>30<\/strong> pay gaps are the outcome of every combination of these three factors &#8211;<\/p>\n<ul>\n<li><strong>2 Calculations<\/strong> &#8211; Median or Mean pay<\/li>\n<li><strong>3 Populations<\/strong>\u00a0&#8211; Full-time, Part-Time or All employees<\/li>\n<li><strong>5 Pay Periods<\/strong> &#8211; Annual\/Weekly\/Hourly Gross pay or Weekly\/Hourly pay excluding overtime<\/li>\n<\/ul>\n<p>Each combination is calculated separately for men and woman plus for all employees resulting in <strong>90<\/strong> different estimates of pay as of April 2026.\u00a0 The ONS calculate the <strong>Pay Gap <\/strong>as the difference between the pay of men and the pay of women (<strong>Pay Difference or M-W<\/strong>) expressed as a percentage of the man&#8217;s pay i.e. <strong>(M-W)\/M<\/strong> to arrive at the <strong>Gender Pay Gap<\/strong> (<strong>GPG<\/strong>).\u00a0 I am not a fan of this format and I prefer to calculate the <strong>Pay Ratio (W\/M)<\/strong> by dividing the woman&#8217;s pay by the man&#8217;s pay.\u00a0 The pay ratio allows me to say for every <strong>\u00a31<\/strong> paid to the typical man, the typical woman is <strong>\u00a3x.yz<\/strong>.<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #008000;\"><strong>10 Gender Pay Gap Days for ALL UK Employees in 2026<\/strong><\/span><\/h5>\n<p>Here are the <strong>10<\/strong> calculations for <strong>All Employees<\/strong> in 2026.\u00a0 For information, <span style=\"color: #0000ff;\"><strong>ASHE<\/strong><\/span> does not include the self-employed and so the figures shown are intended to represent the estimated <strong>29+ million<\/strong> employees in the UK.\u00a0 <span style=\"color: #0000ff;\"><strong>ONS<\/strong> <\/span>estimate the ratio of men to women for this population is now <strong>50:50<\/strong>.<\/p>\n<p>The table shows first <span style=\"color: #0000ff;\">the five median pay estimates for men and women in blue<\/span> followed by the <span style=\"color: #ff0000;\">five mean (or average) pay estimates for men and women in red<\/span>.\u00a0 The pay ratio (<strong>W\/M<\/strong>) and <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> gender pay gap (<strong>GPG<\/strong>) calculation is then shown followed by the date of <strong><span style=\"color: #008000;\">Gender Pay Gap Day<\/span><\/strong> if those figures were used.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-7059 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-All.png\" alt=\"\" width=\"602\" height=\"238\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-All.png 665w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-All-300x119.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-All-450x178.png 450w\" sizes=\"auto, (max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>How is gender pay gap day calculated?\u00a0 2026 was a normal year with <strong>365<\/strong>\u00a0days so I first multiply <strong>365<\/strong>\u00a0by the pay ratio <strong>W\/M<\/strong> (women&#8217;s pay divided by man&#8217;s pay).\u00a0 This calculation is a variant on my pay ratio calculation whereby for every <strong>365<\/strong>\u00a0days the man is paid, the woman is paid for <strong>Y<\/strong> days.\u00a0 I then add <strong>1<\/strong> day to get the date on which the typical woman &#8220;<em>starts working for free<\/em>&#8220;.<\/p>\n<p>I will illustrate with the row highlighted in green in the table which uses <strong>median hourly pay excluding overtime<\/strong>.\u00a0 For every <strong>\u00a31<\/strong> paid to the median man in April 2026, the median woman was paid <strong>88p<\/strong> or <strong>12%<\/strong> less.\u00a0 The equates to <strong>365 x 17.69 \/ 20.17 = 320.12<\/strong> days into 2026 which turns out to be at <strong>02:54<\/strong> on <strong>16th November.<\/strong>\u00a0 This is the date and time the median woman is &#8220;<em>paid up to<\/em>&#8221; which means the median woman &#8220;<em>starts working for free<\/em>&#8221; from the <strong>17th November<\/strong>.<\/p>\n<p>The reason I highlight that row is it&#8217;s the pay gap statistic which is normally quoted when pay gaps are discussed.\u00a0 That doesn&#8217;t make it the &#8220;official&#8221; or &#8220;right&#8221; statistic, it just happens to be the statistic which has become the default measure of pay gaps.\u00a0 Personally, I prefer to use median annual gross pay as the starting point of discussions about gender pay disparities since that pay gap (<strong>27%<\/strong> in 2026) <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/why-the-nhs-holds-back-gender-equality\/\">is closer to capturing all the choices and constraints people face in establishing their pay<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #993300;\"><strong>10 Gender Pay Gap Days for FULL TIME Employees in 2026<\/strong><\/span><\/h5>\n<p>Here are the <strong>10<\/strong> calculations for <strong>UK Full Time Employees<\/strong> in 2026.\u00a0 <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> define a full time employee as anyone whose contracted hours are <strong>30 or more<\/strong> per week.\u00a0 <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> estimate there are <strong>20.7 million<\/strong> people in paid full time employment with approximately <strong>12.0 million<\/strong> men and <strong>8.7 million<\/strong> women.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-7060 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-FT.png\" alt=\"\" width=\"602\" height=\"238\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-FT.png 665w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-FT-300x119.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-FT-450x178.png 450w\" sizes=\"auto, (max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>The highlighted row is what the <a href=\"https:\/\/www.fawcettsociety.org.uk\/News\/press-release-equal-pay-day-moves-backwards-as-gender-pay-gap-widens\" target=\"_blank\" rel=\"noopener\">Fawcett Society are choosing to use for their 2026 &#8220;<em>Equal Pay Day<\/em>&#8221; campaign<\/a>.\u00a0 This raises the question as to why did they choose this statistic and not one of the other <strong>29<\/strong>?\u00a0 The answer comes from their 2024 campaign. In a downloadable 15-page PDF report <a href=\"https:\/\/www.fawcettsociety.org.uk\/equal-pay-day-2024\" target=\"_blank\" rel=\"noopener\">available from this link<\/a>, they gave this justification halfway down on page 3 &#8211;<\/p>\n<p style=\"padding-left: 40px;\"><em>&#8220;F<span style=\"color: #993300;\">awcett uses the mean hourly gender pay gap for full-time workers (11.3% in 2024) to calculate the date of <\/span><\/em><em><span style=\"color: #993300;\">Equal Pay Day because this figure captures the full impact of men being more likely to be very high earners.<\/span>&#8220;<\/em><\/p>\n<p>In other words, they decided to use a figure which maximises what they perceive the typical man to be earning.\u00a0 Personally, I would use the same justification to not use the mean.\u00a0 All statisticians will tell you the mean is susceptible to extreme outliers (Premier League football club pay gaps illustrate this perfectly).\u00a0 Whilst it has its place in statistical analysis, if one is trying to portray the &#8220;typical&#8221; man\/woman when the underlying distribution of pay is known to be asymmetrical or skewed, the median is normally preferred to the mean.\u00a0 Indeed the Fawcett Society accepted this point two paragraphs on from the above quote in 2024 when they refer to median after tax monthly pay &#8220;<em><span style=\"color: #993300;\">&#8230;<\/span> because this best reflects the tangible, average amount in the pockets of the typical woman or man.<\/em>&#8221;<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #666699;\"><strong>10 Gender Pay Gap Days for PART TIME Employees in 2026<\/strong><\/span><\/h5>\n<p>Here are the <strong>10<\/strong> calculations for <strong>UK part time employees<\/strong> in 2024.\u00a0 <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> define a part time employee as anyone whose contracted hours are <span style=\"color: #000000;\"><strong>under 30 <\/strong><\/span>per week.\u00a0 <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> estimate there are <strong>8.3 million<\/strong> people in paid part time employment with approximately <strong>2.5 million<\/strong> men and <strong>5.8 million<\/strong> women.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-7061 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-PT.png\" alt=\"\" width=\"602\" height=\"238\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-PT.png 665w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-PT-300x119.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-PT-450x178.png 450w\" sizes=\"auto, (max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>If there was a counterpart to the Fawcett Society who wished to choose a statistic to best highlight the plight of men, the highlighted row of the median gross weekly pay would be their best option.\u00a0 This shows the largest pay gap whereby for every <strong>\u00a31<\/strong> paid gross per week to the median part time man, the median part time woman is paid <strong>\u00a31.15<\/strong>\u00a0or <strong>15%<\/strong> more.\u00a0 Gender Pay Gap Day for this statistic is <strong>25th February<\/strong> which now has the meaning that from the start of the year to the 24th February, the median part time man is &#8220;<span style=\"color: #666699;\"><em>working for free<\/em><\/span>&#8221; and only &#8220;<span style=\"color: #666699;\"><em>starts to be paid<\/em><\/span>&#8221; from the 25th February.<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #008000;\"><strong>So When is Gender Pay Gap Day in 2026?<\/strong><\/span><\/h5>\n<p>The answer should be obvious by now.\u00a0 If it is possible to have one gender pay gap day showing a disadvantage for women in November and another gender pay gap day showing a disadvantage for men in February, then perhaps the pay gap statistic is not telling you much in the first place.\u00a0 Regular readers of my blog will know I constantly bang on <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/why-the-dwp-median-gender-pay-gap-is-not-zero\/\" target=\"_blank\" rel=\"noopener\">the need to analyse representation gaps<\/a> and not pay gaps.\u00a0 The ONS pay gap statistics were designed by statisticians for statisticians and <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-no-gender-or-ethnicity-pay-gap-in-2029\/\" target=\"_blank\" rel=\"noopener\">were never designed for intelligent conversations about gender disparities<\/a>.\u00a0 Perhaps we should have <strong>30<\/strong> gender pay gap days each year just to drive this point home?<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #008000;\"><strong>Did the Gender Pay Gap Widen in 2026?<\/strong><\/span><\/h5>\n<p>Far from having <strong>30<\/strong> gender pay gap days each year, we could have a <strong>100<\/strong>!\u00a0 This is because nearly everyone forgets the <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> pay gap estimate is just that, an estimate from a <strong>1%<\/strong> sample of PAYE employees.\u00a0 This means the estimate is subject to sampling error.\u00a0 In other words, if <span style=\"color: #0000ff;\"><strong>ONS<\/strong><\/span> decided to select another<strong> 1%<\/strong> of PAYE records they would not get the same estimate of the pay gap.\u00a0 Based on the coefficient of variation information provided earlier in link 2, I calculate Gender Pay Gap Day for Full Time mean hourly pay excluding overtime could be anytime between the <strong>18th &amp; 22nd November<\/strong>.<\/p>\n<p>Does this matter?\u00a0 It does if you are trying to work out if the gender pay gap has widened or narrowed in 2026.\u00a0 The table below shows the change in pay for men and women and the pay gap for all <strong>30<\/strong> pay gap statistics.\u00a0 Whilst it is a busy graphic with 30 tables, I will be concentrating on the mean full time hourly pay excluding overtime table which is in the bottom row, 4 tables along from the left.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-7062 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr.png\" alt=\"\" width=\"1692\" height=\"749\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr.png 1692w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-300x133.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-1024x453.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-768x340.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-1536x680.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-450x199.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-YrOnYr-1320x584.png 1320w\" sizes=\"auto, (max-width: 1692px) 100vw, 1692px\" \/><\/p>\n<p>This shows the full time mean pay gap for hourly pay was unchanged in 2026 compared to 2025 at <strong>+11.5%<\/strong>.\u00a0 However, the Fawcett Society disagrees with me and states on their website (see earlier link in the full time section) and <a href=\"https:\/\/www.linkedin.com\/posts\/equal-pay-day-2026-calling-for-better-pay-ugcPost-7523419575728631808-rNpg\/?utm_source=share&amp;utm_medium=member_ios&amp;rcm=ACoAABDdz7ABvEu1hszByMlEvh1laCep2iQMGxg\" target=\"_blank\" rel=\"noopener\">this LinkedIn post<\/a> that &#8220;<em>For the first time in five years, the gender pay gap has widened.<\/em>&#8221;\u00a0 Specifically they note the pay gap went from <strong>10.9%<\/strong> in 2025 to <strong>11.5%<\/strong> in 2026 as can be seen in this <a href=\"https:\/\/www.fawcettsociety.org.uk\/News\/press-release-equal-pay-day-moves-backwards-as-gender-pay-gap-widens\" target=\"_blank\" rel=\"noopener\">screenshot of their website link<\/a> &#8211;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7063 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error.png\" alt=\"\" width=\"704\" height=\"173\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error.png 1257w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error-300x74.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error-1024x252.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error-768x189.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-Fawcett-error-450x111.png 450w\" sizes=\"auto, (max-width: 704px) 100vw, 704px\" \/><\/p>\n<p>Where did they get <strong>10.9%<\/strong> for 2025?\u00a0 The answer is this percentage is <a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/bulletins\/genderpaygapintheuk\/2025\" target=\"_blank\" rel=\"noopener\">the <strong>provisional estimate<\/strong> ONS made in October 2025<\/a> for the full time pay gap<img loading=\"lazy\" decoding=\"async\" class=\" wp-image-7064 alignright\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-revisions-for-2025.png\" alt=\"\" width=\"297\" height=\"198\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-revisions-for-2025.png 323w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-revisions-for-2025-300x200.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/11\/ONS-ASHE-2026-revisions-for-2025-272x182.png 272w\" sizes=\"auto, (max-width: 297px) 100vw, 297px\" \/> using mean hourly pay excluding overtime.\u00a0 In October 2026, ONS published their <strong>provisional<\/strong> estimates for 2026 <strong>AND revised<\/strong> estimates for 2025!\u00a0 You can see the differences between the provisional and revised 2025 estimates in this table.\u00a0 The average man&#8217;s hourly pay was revised up by <strong>25p<\/strong> from <span style=\"color: #008000;\"><strong>\u00a325.05<\/strong><\/span> to <span style=\"color: #008000;\"><strong>\u00a325.30<\/strong><\/span> and the average woman&#8217;s hourly pay was revised up by <strong>7p<\/strong> from <strong><span style=\"color: #800080;\">\u00a322.32<\/span><\/strong> to <span style=\"color: #800080;\"><strong>\u00a322.39<\/strong><\/span>.\u00a0 This explains why the average pay gap was revised up <strong>0.6<\/strong> percentage points.\u00a0 Somehow, the Fawcett Society has overlooked this revision.<\/p>\n<p>Revisions such as these happen all the time with economic statistics published by ONS.\u00a0 This is because in order to publish a timely estimate of the pay gap, some of the information they require from employers &amp; other sources have not yet arrived.\u00a0 By the time, they are ready with their provisional estimates for the following year, they will have complete data for the previous year, hence the revised estimates.<\/p>\n<p>At first, this could be annoying and creates uncertainty.\u00a0 Indeed, over 10 years ago, <strong>ONS<\/strong> initially said the economy went into <a href=\"https:\/\/www.bbc.co.uk\/news\/business-23079082\" target=\"_blank\" rel=\"noopener\">a double dip recession only to revise the &#8220;recession&#8221; away a few months later<\/a>.\u00a0 However, as I noted at the start of this article with the various sources of data, <strong>ONS<\/strong> publish coefficient of variation data for all provisional (&amp; revised) estimates.\u00a0 Specifically, in 2025, they stated the standard deviation of full time hourly pay excluding overtime was <strong>0.4%<\/strong> of the mean for men and <strong>0.3%<\/strong> of the mean for women.\u00a0 From these, I can calculate the <strong>Standard Error (Std Err)<\/strong> columns shown in the table above for all statistics including the pay gap.\u00a0 These would have told the Fawcett Society last year that revisions to the 2025 estimates on the scale that actually happened were entirely plausible.<\/p>\n<p>Why?\u00a0 Because of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_limit_theorem\" target=\"_blank\" rel=\"noopener\">the Central Limit Theorem<\/a> which is one of the foundations of statistical theory.\u00a0 This tells us revisions equivalent to more than twice the standard errors can be expected to occur <strong>1 in 20<\/strong> times due to sampling error alone.\u00a0 In 2025, average women&#8217;s pay was revised upwards by <strong>1.0<\/strong> standard error whilst average men&#8217;s pay was revised upwards by <strong>2.5<\/strong> standard errors.\u00a0 At first, that might seem unlikely but remember, ONS publish <strong>30<\/strong> pay gap statistics which equates to <strong>60<\/strong> sex specific pay estimates.\u00a0 So one would expect on average<strong> 3<\/strong> of those <strong>60<\/strong> pay estimates to be revised to the extent we see for men&#8217;s full time hourly pay.<\/p>\n<p>The Fawcett Society might argue there is still sampling error in the revised estimates as indicated by the standard errors shown for the revised estimates.\u00a0 Thus, it is entirely possible the pay gap has indeed widened, it&#8217;s just been masked by sampling error.\u00a0 Such an argument is statistically plausible and happens to be one of many concepts I cover in my training course &#8220;<a href=\"https:\/\/marriott-stats.com\/identifying-trends-in-data-making-forecasts\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #993300;\"><em>Identify Trends &amp; Make Forecasts<\/em><\/span><\/a>&#8221; which I run on behalf of the Royal Statistical Society.\u00a0 Fortunately, ONS estimate <strong>30<\/strong> gender pay gaps and we can count how many of those show the pay gap narrowing and how many show it widening.\u00a0 This is the best way to see what the general trend is.<\/p>\n<p>Using the table shown earlier, I count the following &#8211;<\/p>\n<ol>\n<li>Across all <strong>30<\/strong> pay gap estimates, <strong>22<\/strong> show the pay gap narrowing, <strong>8<\/strong> show it widening.<\/li>\n<li>Across the <strong>15<\/strong> median pay gaps, <strong>12<\/strong> have narrowed, <strong>3<\/strong> have widened.<\/li>\n<li>Across the <strong>15<\/strong> mean pay gaps, <strong>10<\/strong> have narrowed, <strong>5<\/strong> have widened.<\/li>\n<li>Across the <strong>10<\/strong> all employee pay gaps, <strong>9<\/strong> have narrowed, <strong>1<\/strong> has widened.<\/li>\n<li>Across the<strong> 10<\/strong> full time pay gaps, <strong>8<\/strong> have narrowed, <strong>2<\/strong> have widened.<\/li>\n<li>Across the <strong>10<\/strong> part time pay gaps, <strong>5<\/strong> have narrowed, <strong>5<\/strong> have widened.\u00a0 It is worth noting <strong>4<\/strong> of the widening pay gaps are actually in favour of women, only <strong>1<\/strong> is widening against women.<\/li>\n<\/ol>\n<p>In short, whichever way you cut it, <strong>the gender pay gap did not widen against women in 2026<\/strong>.\u00a0 The ONS&#8217;s <a href=\"https:\/\/www.ons.gov.uk\/employmentandlabourmarket\/peopleinwork\/earningsandworkinghours\/bulletins\/genderpaygapintheuk\/2026\" target=\"_blank\" rel=\"noopener\">2026 gender pay gap report<\/a> repeatedly notes the pay gap has narrowed at the national level.\u00a0 The Fawcett Society&#8217;s claim to the contrary in their 2026 &#8220;Equal Pay Day&#8221; campaign is incorrect and should be retracted.<\/p>\n<p>&nbsp;<\/p>\n<h5><strong><span style=\"color: #993300;\">&#8212; Would you like to comment on this article? &#8212;-<\/span><\/strong><\/h5>\n<p>Please do leave your comments on either of these <span style=\"color: #008000;\">X\/<strong>Twitter <\/strong><\/span>or <span style=\"color: #008000;\"><strong>LinkedIn<\/strong><\/span> threads.<\/p>\n<h5><strong><span style=\"color: #993300;\">&#8212; Subscribe to my newsletter to receive more articles like this one! &#8212;-<\/span><\/strong><\/h5>\n<p>If you would like to receive notifications from me of news, articles and offers relating to diversity &amp; pay gaps, please <span style=\"color: #008000;\"><strong><a style=\"color: #008000;\" href=\"https:\/\/marriott-stats.com\/nigels-blog\/subscribe-to-our-newsletter\/\" target=\"_blank\" rel=\"noopener\">click here to go to my Newsletter Subscription page<\/a><\/strong><\/span> and tick the <strong>Diversity<\/strong> category and other categories that may be of interest to you.\u00a0 You will be able to unsubscribe at anytime.<\/p>\n<h5><span style=\"color: #993300;\"><strong>&#8212; Want to know more about pay gaps?\u00a0 &#8212;<\/strong><\/span><\/h5>\n<p>You will find a full list of my pay gap &amp; diversity related articles <span style=\"color: #008000;\"><strong><a style=\"color: #008000;\" href=\"https:\/\/marriott-stats.com\/nigels-blog\/stats-training-materials-pay-gap-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">here which are grouped by theme<\/a><\/strong><\/span>.<\/p>\n<h5><span style=\"color: #993300;\"><strong>&#8212; Need help with understanding your pay gap? &#8212;<\/strong><\/span><\/h5>\n<p>I offer the following services.\u00a0 Please click on the headings for more details.<\/p>\n<ol>\n<li><a href=\"https:\/\/marriott-stats.com\/pay-gap-analytics\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #993300;\"><strong><span style=\"color: #008000;\">Analysis<\/span><\/strong><\/span> <\/a>&#8211; I can dig deep into your data to identify the key drivers of your pay gaps.\u00a0 I can build a model using a large number of variables such as pay band, seniority, job function, location, etc and use this to identify the priority areas for closing your gaps.<\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/introduction-to-pay-gap-analytics\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #993300;\"><strong><span style=\"color: #008000;\">Training<\/span><\/strong><\/span><\/a> &#8211; I run training courses in basic statistics which are designed for non-statisticians such as people working in HR.\u00a0 The courses will show you how to perform the relevant calculations in Microsoft Excel, how to interpret what they mean for you and how to incorporate these in an action plan to close your gaps.<\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/expert-witness\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #993300;\"><strong><span style=\"color: #008000;\">Expert Witness<\/span><\/strong><\/span><\/a> &#8211; Has your gender pay gap data uncovered an issue resulting in legal action?\u00a0 Need an expert independent statistician who can testify whether the data supports or contradicts a claim of discrimination?\u00a0 I have experience of acting as an expert witness for either plaintiff or defendant and I know how to testify and explain complex data in simple language that can be easily understood by non-statisticians.<\/li>\n<\/ol>\n<p>If you would like to have a no-obligation discussion about how I can help you, <strong><span style=\"color: #008000;\"><a style=\"color: #008000;\" href=\"https:\/\/marriott-stats.com\/contact-us\/\" target=\"_blank\" rel=\"noopener noreferrer\">please do contact me<\/a><\/span><\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When is #EqualPayDay in the UK in 2026? No-one knows is the correct answer.\u00a0 That&#8217;s because there are no national measurements of the extent of unequal pay in the UK e.g. a woman being paid less than a man for the doing the same job. If you see anyone talking about &#8220;Equal Pay Day&#8220;, they [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":7059,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[64],"tags":[63,334,122,179,257,148],"class_list":["post-7056","post","type-post","status-publish","format-standard","has-post-thumbnail","category-diversity","tag-gender-pay-gap","tag-mean","tag-median","tag-ons","tag-pay-gap-data","tag-pay-gaps","entry","override"],"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/7056","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/comments?post=7056"}],"version-history":[{"count":9,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/7056\/revisions"}],"predecessor-version":[{"id":7071,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/7056\/revisions\/7071"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media\/7059"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=7056"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=7056"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=7056"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}