Cookies are small files stored on your device when you visit a website. We use some essential cookies to make this website work.
We would like to set additional cookies to remember your settings and understand how you use the site. This helps us to improve our services.
You have accepted all additional cookies. You have rejected all additional cookies. You can change your cookie preferences at any time. Hide
We moved them to The National Archives website, to keep this website as responsive as possible.
Please note: all historical data is still on this website.
Loading search results
Dewis pwnc arall neu clirio pob hidlydd.
This article provides an analysis of the distribution of earnings using ASHE 2016 data and previous ASHE datasets over time. It also considers differences in earnings by gender, region, skill level and working pattern. Earnings growth for those in employment between two consecutive years is discussed.
The results of 2 statistical models which explore the relationship between mean hourly earnings excluding overtime and a range of independent variables, based on Annual Survey of Hours and Earnings 2016 provisional results data. There is a particular focus on earnings differences between the public and private sectors.
Analyses of the Average Weekly Earnings (AWE) figures, adjusted for inflation, which are published in the UK Labour Market statistical bulletin.
Analyses of the average weekly earnings (AWE) figures, which are published in the UK Labour Market statistical bulletin.
Analyses of the Average Weekly Earnings (AWE) figures, which are published in the UK Labour Market Statistical Bulletin.