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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.
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Earnings and employment statistics for different ethnic groups in Great Britain, using regression analysis to provide more insight into factors that affect pay.
Changes in the costs of employing labour, analysed by sector and industry. Experimental Statistics.
Use our interactive tool to find out the gender pay gap for your job.
Changes in the costs of employing labour, analysed by sector and industry.
Distribution of earnings analyses using Annual Survey of Hours and Earnings (ASHE) provisional 2017 data and previous ASHE datasets, including differences in earnings by age, sex, region, skill-level and working pattern.
The results of statistical models that explore the relationship between mean hourly earnings and a range of independent variables, based on Annual Survey of Hours and Earnings (ASHE) 2017 provisional results data.
Important measures of employee earnings, using data from the Annual Survey of Hours and Earnings (ASHE). Figures are presented mainly for full-time employees, although some detail for part-time workers is also included.
Differences in pay between women and men by age, region, full-time and part-time, and occupation as compiled from the Annual Survey of Hours and Earnings (ASHE). The gender pay gap is the percentage difference between men's and women’s median hourly earnings, across all jobs in the UK; it is not a measure of the difference in pay between men and women for doing the same job.
The distribution of earnings of high- and low-paid jobs, earnings by selected percentiles and jobs paid below the National Minimum Wage. Compiled from the Annual Survey of Hours and Earnings (ASHE).
