{"id":2348,"date":"2020-02-19T20:22:27","date_gmt":"2020-02-19T20:22:27","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=2348"},"modified":"2020-03-10T21:28:57","modified_gmt":"2020-03-10T21:28:57","slug":"pay-gaps-14-why-use-gender-pay-fingerprint","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-14-why-use-gender-pay-fingerprint\/","title":{"rendered":"Pay Gaps #14 &#8211; Gender Pay Fingerprints are better than Gender Pay Gaps"},"content":{"rendered":"<p>Recently, a lot of people have been making incorrect claims about what a gender pay gap tells you.\u00a0 I have been pointing out these errors but in doing so, I am conscious I come across as a pedant or a negative voice.\u00a0 The problem is that the official gender pay gap measure (the difference between the median man and the median woman) is just a single number and that single number does not capture the full nuance of what is going on.\u00a0 I have decided it is time to introduce the <strong>Gender Pay Fingerprint<\/strong> to the world as an alternative and going forward, I will be encouraging people to use this instead.<\/p>\n<p><!--more--><\/p>\n<h4><span style=\"color: #008000\"><b>Employers are already producing Gender Pay Fingerprints<img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-2320\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/BBC-2019-300x284.png\" alt=\"\" width=\"300\" height=\"284\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/BBC-2019-300x284.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/BBC-2019-369x350.png 369w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/BBC-2019.png 726w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/b><\/span><\/h4>\n<p>When employers&#8217; submit their annual returns, in addition to reporting <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gap-12-conflating-equal-pay-with-gender-pay-gap\/\">the mean and median gender pay gap<\/a>, they also have to report the gender breakdown for each <strong>Income Quarter<\/strong>.\u00a0 Together, these figures make up the <strong>Gender Pay Fingerprint<\/strong> for the employer.\u00a0 So employers already have the data, what they are not doing is putting it altogether into a single picture i.e. a fingerprint.<\/p>\n<h4><span style=\"color: #008000\"><strong>Why Income Quarters are so important<\/strong><\/span><\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-2337 alignleft\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-01-300x260.png\" alt=\"\" width=\"300\" height=\"260\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-01-300x260.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-01-403x350.png 403w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-01.png 462w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>If gender parity is your goal, what would be the perfect set of figures to report?\u00a0 It is not just that your pay gap is zero, I would contend that it would also be an employer with 50:50 men and women across all pay scales and job functions.\u00a0 In other words wherever you look, you will see a perfect gender balance.\u00a0 In other words your chart would look like the one to the left.<\/p>\n<p>Can we expect every employer who (correctly) reports no gender pay gap to look like this?\u00a0 The answer is no since all we need is the same gender ratio in each income quarter but that ratio could be anything from 100:1 men:women to 1:100 men:women as shown in the 3 charts below.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2338 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-300x87.png\" alt=\"\" width=\"800\" height=\"232\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-300x87.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-1024x296.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-768x222.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-1536x444.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02-450x130.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-02.png 1995w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>If we saw 3 employers like this, you should have 3 different reactions even though each is reporting no gender pay gap which is what we want.\u00a0 The one on the left is clearly male dominated which should prompt the question why?\u00a0 Conversely, the one of right is female dominated which should also prompt the question why?\u00a0 In both cases, it is possible that this reflects genuine gender preferences but I take the view that this conclusion should only be reached once all other explanations have been exhausted.<\/p>\n<p>These charts don&#8217;t show the mean gender pay gap.\u00a0 I have regularly downplayed the importance of the mean pay gap since it can be influenced by a few highly paid individuals but it would be reasonable in all 3 cases above to expect the mean pay gap to also be zero.\u00a0 If the mean pay gap differs notably from zero, that might be a clue to a possible equal pay issue though further analysis would be needed.<\/p>\n<p>Let&#8217;s look at another 3 employers, all with no median pay gap.\u00a0 What would be your reactions this time?<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2339 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-300x87.png\" alt=\"\" width=\"800\" height=\"232\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-300x87.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-1024x296.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-768x222.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-1536x445.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03-450x130.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-03.png 1990w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>Again you should have 3 very different reactions.\u00a0 Mine are &#8211;<\/p>\n<ul>\n<li><span style=\"color: #008000\"><strong>Left<\/strong><\/span> &#8211; men undertake both the highest and lowest paid roles with women doing the middle paid roles.\u00a0 Why?\u00a0 It&#8217;s possible it reflects a sense of &#8220;this is men&#8217;s work, that is women&#8217;s work&#8221; which is something to challenge.\u00a0 It&#8217;s worth highlighting that the mean gender pay gap could also be zero in this instance though it depend on how highly paid the senior management in the upper quarter are.<\/li>\n<li><span style=\"color: #008000\"><strong>Middle<\/strong><\/span> &#8211; I call this a <span style=\"color: #993300\"><strong>Glass Ceiling<\/strong><\/span> employer.\u00a0 In the bottom two quarters, it is 50:50 men:women but then in the 3rd quarter it&#8217;s all women and in the top quarter, all men.\u00a0 Whilst the median pay gap has to be zero, the mean pay gap will not be zero since the average man must be earning more than the average woman.\u00a0 So clearly the question that has to be asked here is why are women not present in the upper quarter?\u00a0 What stops them from getting there?<\/li>\n<li><span style=\"color: #008000\"><strong>Right<\/strong><\/span> &#8211; the quarters alternate between men and women.\u00a0 Again the median pay gap will be zero but the mean pay gap will be considerable.\u00a0 This could indicate a serious equal pay problem in that among the low paid quarters, men are earning more than women and this is repeated among the high paid quarters.<\/li>\n<\/ul>\n<p>By now, you&#8217;ve seen 6 employers with the same pay gap but with very different set of questions.\u00a0 That is because you are looking at the 4 income quarters as well as the pay gap.\u00a0 Instead of one number we have 5 numbers.\u00a0 If we regard 4 quarters + 1 pay gap as equivalent to 4 fingers + 1 thumb, the 5 numbers make a hand and thus the term <span style=\"color: #008000\"><strong>Gender Pay Fingerprint<\/strong> <\/span>is born.\u00a0 I&#8217;m still trying to work out if this should be plural or not!<\/p>\n<p>So far, I regard the chart format I have been using as a basic fingerprint.\u00a0 Later on, I will introduce a more advanced fingerprint.<\/p>\n<h4><strong><span style=\"color: #008000\">Real life examples &#8211; Construction Sector in 2018<\/span><\/strong><\/h4>\n<p>It should not be a surprise to find that the Construction sector is male dominated.\u00a0 Just because it is, doesn&#8217;t necessarily mean that there will be a significant gender pay gap.\u00a0 The pay gap is dependent on where women sit in the income quarters not on how many there are.\u00a0 Here are 3 employers that reported no or miniscule gender pay gaps in 2018.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2340 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-300x94.png\" alt=\"\" width=\"807\" height=\"253\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-300x94.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-1024x322.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-768x241.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-1536x482.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04-450x141.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-04.png 1984w\" sizes=\"auto, (max-width: 807px) 100vw, 807px\" \/><\/p>\n<p>Redrow &amp; Taylor Wimpey are very similar with a gender ratio of 2:1 male:female whereas Tough Construction has a 20:1 ratio.\u00a0 Tough Construction actually has a pay gap favourable to women with the average woman earning \u00a31.10 for every \u00a31 earned by the average man compared to \u00a30.97 for Redrow and Taylor Wimpey.\u00a0 Just looking at the pay gaps alone might lead you to remark on Tough Construction but when we look at the basic fingerprint we realise that the very low numbers of women mean that the pay gap there is subject to sample size error and should not be commented on.<\/p>\n<p>Are these employers typical of the Construction sector in 2018?\u00a0 The next chart is my <span style=\"color: #008000\"><strong>Advanced Gender Pay Fingerprint<\/strong><\/span> for Taylor Wimpey Ltd.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2341 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05-300x181.png\" alt=\"\" width=\"806\" height=\"486\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05-300x181.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05-1024x617.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05-768x462.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05-450x271.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-05.png 1332w\" sizes=\"auto, (max-width: 806px) 100vw, 806px\" \/><\/p>\n<p>The 4 black triangles are the 4 income quarters for Taylor Wimpey showing the % of staff in each quarter that are female.\u00a0 The \u00a3 sign on the right is the median women&#8217;s earnings for Taylor Wimpey assuming that the median man earns \u00a31.\u00a0 The title shows that Taylor Wimpey ticked the 5,000 to 19,999 employees bracket making them a large employer and in this chart they are being to compared 195 employers from the Construction sector.<\/p>\n<p>The Construction sector is represented by the 5 Box Plots.\u00a0 If you&#8217;ve not seen a box plot before, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/epl-201718-1-what-are-you-expecting-for-your-team-this-season\/\" target=\"_blank\" rel=\"noopener noreferrer\">I recommend you read this article<\/a>.\u00a0 I&#8217;ve used an enhanced box plot format here where &#8211;<\/p>\n<ul>\n<li>The box in the middle represents (from top to bottom) the upper quartile, the median and the lower quartile.<\/li>\n<li>The diamonds\/circles represents the average.<\/li>\n<li>The thick solid lines above and below the box represent the 5th &amp; 95th percentiles i.e. 90% of employers are captured within this range.<\/li>\n<li>The thin lines take you out to the maximum and minimum of the 195 construction sector employers.<\/li>\n<\/ul>\n<p>Now we can see how typical Taylor Wimpey is of the Construction sector and the answer is that they are not typical.\u00a0 They are just in the top 5% of construction employers for the median women&#8217;s earnings which comes about because their upper and upper middle quarters female representations are above the upper quartile whereas their lower quarter value is almost in line with the median of the sector.\u00a0 When I look at the entire fingerprint, the conclusion I draw is that Taylor Wimpey are an example to the whole sector of how to do gender equality.\u00a0 Yes the gender ratio is not 1:1 but that is not surprising given the gender stereotypes that construction can have.\u00a0 The important point is that it does not prevent men and women being equal otherwise.\u00a0 The remaining question for Taylor Wimpey is how does the gender ratio vary by type of job?\u00a0 That might throw up some points to be addressed.<\/p>\n<h4><strong><span style=\"color: #008000\">Further examples &#8211; NHS Trusts in 2018<\/span><\/strong><\/h4>\n<p>There are 266 employers that I classify as being NHS trusts.\u00a0 Here are three of them, all with negligible median gender pay gaps.\u00a0 What do their basic fingerprints show?<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2343 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-300x94.png\" alt=\"\" width=\"830\" height=\"260\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-300x94.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-1024x322.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-768x241.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-1536x483.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07-450x141.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-07.png 1980w\" sizes=\"auto, (max-width: 830px) 100vw, 830px\" \/><\/p>\n<p>I see two key points.\u00a0 First, they are all female dominated.\u00a0 Second, their income quarters are consistent with a Glass Ceiling employer that I highlighted earlier.\u00a0 In fact, nearly all trusts with no pay gaps show these patterns and the advanced gender pay fingerprint for South Tyneside here confirms that this effect is sector wide.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2344 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08-300x181.png\" alt=\"\" width=\"829\" height=\"500\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08-300x181.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08-1024x617.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08-768x462.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08-450x271.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-08.png 1332w\" sizes=\"auto, (max-width: 829px) 100vw, 829px\" \/><\/p>\n<p>Typically an NHS trust is 80% female in the two lower quarter, rising to 85% female in the 3rd quarter and then falling to 67% in the top quarter.\u00a0 I have explained numerous times before (<a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-data-and-12-ways-to-improve-it\/\" target=\"_blank\" rel=\"noopener noreferrer\">see point 4 of this article<\/a>) that because the sum of the top 2 quarters (67%+85%) is less than the sum of the bottom 2 quarters (80%+80%) this will result in the median woman earning less than the median man hence why NHS trusts typically have a gender pay gap against women.\u00a0 South Tyneside is among the 5% of NHS trusts who don&#8217;t since the sum of the top 2 quarters (90%+79%) is equal to the sum of the bottom 2 quarters (84%+85%).<\/p>\n<p>Again we need to ask the question why this is the case.\u00a0 It is worth noting that for the sector as a whole, women still make up the majority of the high earners in the top quarter.\u00a0 It is because the NHS is extremely female dominated in the other 3 quarters that causes the pay gap.\u00a0 That suggests that one solution is to recruit more men into the bottom 3 quarters.\u00a0 The minimums from the advanced fingerprint above suggest that a male dominated trust might exist and sure enough I found that Surrey &amp; Borders Partnership NHS Foundation Trust had only 25% women.\u00a0 But then I saw that in 2017, they had 75% women and it was immediately clear that Surrey &amp; Borders had accidentally swapped men and women around in their 2018 submission.<\/p>\n<h4><span style=\"color: #008000\"><strong>Fingerprints help you to spot errors<\/strong><\/span><\/h4>\n<p>Have a look at these 3 employers&#8217; basic fingerprints.\u00a0 What do you see?<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2345 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-300x94.png\" alt=\"\" width=\"827\" height=\"259\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-300x94.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-1024x322.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-768x241.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-1536x483.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09-450x141.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-09.png 1788w\" sizes=\"auto, (max-width: 827px) 100vw, 827px\" \/><\/p>\n<p>You should see that Preston Council are candidates for the ultimate gender parity prize with no pay gap and almost 50:50 across all quarters.\u00a0 CT Plus and Motorline though have made mistakes with their submissions.<\/p>\n<p>For CT Plus, it is the fact that the gender ratios are identical in all 4 quarters.\u00a0 That strongly suggests they have worked out their overall gender balance and then entered that in each quarter.\u00a0 The reason why that is likely is because the median woman only earns 74p.\u00a0 That either indicates a massive equal pay issue or far more likely that the data is incorrect.<\/p>\n<p>For Motorline, their median woman&#8217;s earning of 72p cannot be right given that the sum of top two quarters (19%+44%) is equal to the sum of the bottom two quarters (41%+22%).\u00a0 That means the median woman should be earning \u00a31 for every \u00a31 earned by the median man.\u00a0 <a href=\"http:\/\/nd-auto-styles-temp-production.s3.amazonaws.com\/fec22fa2d654d7f0852650d248b9cf556d24d71e\/docs\/Gender-Pay-Gap-Report.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Their gender pay gap report<\/a> is not informative but I suspect they have miscalculated somewhere.\u00a0 \u00a0One possibility is that the lower and lower middle quarters were inadvertently entered the wrong way around.<\/p>\n<h4><span style=\"color: #008000\"><strong>The Gender Pay Fingerprint for the UK in 2018<\/strong><\/span><\/h4>\n<p>I will finish by showing the fingerprint for all employers in 2018.\u00a0 It turns out that the Gambling Commission is closest to being median of the median across all fingers and thumbs.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2336 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12-300x181.png\" alt=\"\" width=\"822\" height=\"496\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12-300x181.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12-1024x617.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12-768x462.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12-450x271.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2020\/02\/Fingerprint-12.png 1332w\" sizes=\"auto, (max-width: 822px) 100vw, 822px\" \/><\/p>\n<p>Nationally this tells us why the overall gender pay gap was 9p in the \u00a3 in 2018.\u00a0 For the top 3 quarters, female presence declines slowly but then falls to 40% in the top quarter.\u00a0 Whilst some rebalancing of the bottom 3 quarters is needed to close the pay gap e.g. recruiting more men into low paid roles, it does suggest that the biggest improvement will come from getting more women into the top quarter.\u00a0 Understanding what those barriers are today and how they can be overcome tomorrow is what employers need to be doing with their pay gap analytics.<\/p>\n<h4><strong><span style=\"color: #008000\">Where can I get these fingerprints?<\/span><\/strong><\/h4>\n<p>The basic fingerprints can be found by <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-data-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">downloading my spreadsheet from this link<\/a>.<\/p>\n<p>That spreadsheet contains the data you need to create the advanced fingerprint.\u00a0 I am currently developing a template to allow you to create this automatically.\u00a0 However, I am only making this available to my clients who book either my Analytics or Training services from the list below.<\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"color: #993300\"><strong>&#8211; Need help with interpreting your pay gaps? &#8211;<\/strong><\/span><\/h4>\n<p>I offer the following services.<\/p>\n<ol>\n<li><a href=\"https:\/\/marriott-stats.com\/pay-gap-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: #008000\"><strong><span style=\"color: #993300\">Analytics<\/span><\/strong><\/span><\/a>\u00a0&#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 noreferrer\"><span style=\"color: #008000\"><strong><span style=\"color: #993300\">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 noreferrer\"><span style=\"color: #008000\"><strong><span style=\"color: #993300\">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 as can be seen from <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-treasury-committee\/\" target=\"_blank\" rel=\"noopener noreferrer\">my testimony to the Treasury Select Committee<\/a>.<\/li>\n<\/ol>\n<p>If you would like to have a no-obligation discussion about how I can help you, <a href=\"https:\/\/marriott-stats.com\/contact-us\/\" target=\"_blank\" rel=\"noopener noreferrer\">please do contact me<\/a>.<\/p>\n<h4><span style=\"color: #993300\"><strong>&#8211; Want to know more about pay gaps?\u00a0 &#8211;<\/strong><\/span><\/h4>\n<p>I have written a number of articles about pay gaps covering these topics:-<\/p>\n<ol>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/7-ways-to-misuse-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">What gender pay gap data tells us, what it doesn&#8217;t tell us and how it can be misused<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/latest-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">Where can I find the latest gender pay gap data?<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-10-should-ethnicity-pay-gap-reporting-be-introduced\/\" target=\"_blank\" rel=\"noopener noreferrer\">Why the gender pay gap is not the same as unequal pay<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/1-in-10-orgs-published-incorrect-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">Three distinct errors that have been made by at least 10% of all organisations when submitting their gender pay gap data<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-and-life-on-mars\/\" target=\"_blank\" rel=\"noopener noreferrer\">How to distinguish between a true pay gap and a pay gap that arises naturally due to the laws of chance<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/why-bbc-gender-pay-gap-will-not-change-after-losing-samira-ahmed-equal-pay-case\/\" target=\"_blank\" rel=\"noopener noreferrer\">Why winning an equal pay tribunal can widen a gender pay gap<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-data-and-12-ways-to-improve-it\/\" target=\"_blank\" rel=\"noopener noreferrer\">My 12 steps to improve public confidence in gender pay gap data<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-treasury-committee\/\" target=\"_blank\" rel=\"noopener noreferrer\">My evidence to the Treasury Select Committee on how gender pay gap reporting could be improved<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-calculator-free\/\" target=\"_blank\" rel=\"noopener noreferrer\">Calculate your gender pay gap by downloading my free spreadsheet calculator!<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-trends-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">Did the gender pay gap narrow in 2018?<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gpg-yoy-trends-unilever-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">How to identify unusual year on year changes in gender pay gaps<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-9-how-to-close-your-gender-pay-gap-with-dmaic-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">How to close your pay gap with DMAIC<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-10-should-ethnicity-pay-gap-reporting-be-introduced\/\" target=\"_blank\" rel=\"noopener noreferrer\">Should the UK introduce Ethnicity Pay Gap reporting?<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/pay-gaps-13-how-to-do-ethnicity-pay-gap-reporting\/\" target=\"_blank\" rel=\"noopener noreferrer\">What is best way to do Ethnicity Pay Gap reporting?<\/a><\/li>\n<li><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-faqs\/\" target=\"_blank\" rel=\"noopener noreferrer\">Frequently Asked Questions about gender pay gaps.<\/a><\/li>\n<\/ol>\n<p>Finally visit <a href=\"https:\/\/twitter.com\/MarriottNigel?lang=en\" target=\"_blank\" rel=\"noopener noreferrer\">my Twitter thread<\/a> to see my comments on gender pay gaps in the media.\u00a0 Some notable ones are here.<\/p>\n<ol>\n<li><a href=\"https:\/\/twitter.com\/MarriottNigel\/status\/1114078541518389248\" target=\"_blank\" rel=\"noopener noreferrer\">My complaint about comments made by the head of the TUC on the 2018 pay gap.<\/a><\/li>\n<li><a href=\"https:\/\/twitter.com\/MarriottNigel\/status\/1112766440573149185\" target=\"_blank\" rel=\"noopener noreferrer\">Some observations on the government&#8217;s guidance to producing gender pay gap statistics and the numerous deficiencies in these<\/a>.<\/li>\n<li><a href=\"https:\/\/twitter.com\/MarriottNigel\/status\/1101438766823161856\" target=\"_blank\" rel=\"noopener noreferrer\">My comments on why incorrect gender pay gap data is being submitted<\/a>.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Recently, a lot of people have been making incorrect claims about what a gender pay gap tells you.\u00a0 I have been pointing out these errors but in doing so, I am conscious I come across as a pedant or a negative voice.\u00a0 The problem is that the official gender pay gap measure (the difference between [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2341,"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":[159,158,154,63,155,156,160,157],"class_list":{"0":"post-2348","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-diversity","8":"tag-box-plot","9":"tag-gender-parity","10":"tag-gender-pay-fingerprint","11":"tag-gender-pay-gap","12":"tag-income-quarters","13":"tag-income-quartiles","14":"tag-industry-sector","15":"tag-pay-gap-analysis","16":"entry","17":"override"},"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/2348","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=2348"}],"version-history":[{"count":11,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/2348\/revisions"}],"predecessor-version":[{"id":2428,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/2348\/revisions\/2428"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media\/2341"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=2348"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=2348"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=2348"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}