Not only is the data missing variance, but the small print also say that it excludes overtime.

Could I please see the variance in the data which is a very simple, important and often missing aspect when presenting data? I would also like to see the average amount of work hours (and overtime) per industry and gender, the average amount of flex time and other non-income benefits, and common known sources for wage differences such as how often a person changes job. All this is missing, but again the lowest hanging fruit is the variance which make any dataset completely useless (and I stand by this statement) for any complex dataset.

Cool, I'll have to look at the new data clearly, a priori it contradicts my analysis - I only recalled one situation previously where discrimination appears to give higher wages to women (over 30, working full-time), 15% is quite the gap did it make headlines?

Note they don't compare like roles here, just same industry sector IIRC.

The largest gap is 95% in favour of female archivists; that must be anomalous.