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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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Estimates of the numbers and characteristics of those who could be considered as potential “key workers” in the response to the coronavirus (COVID-19).
An article explaining the methods used to derive monthly employee and earnings estimates from Pay as You Earn Real Time Information (PAYE RTI) administrative data. The article also includes comparisons with ONS’s official sources of Labour Market data.
When deciding whether to leave their job, women are more likely than men to accept lower pay in favour of a shorter commute, contributing to the overall gender pay gap.
A study into the gender gap for pay and commuting time, using data from the Annual Survey of Hours and Earnings.
How much are people earning in jobs like yours? And how does that compare to other occupations?
Earnings and employment statistics for different ethnic groups in Great Britain, using regression analysis to provide more insight into factors that affect pay.
Use our interactive tool to find out the gender pay gap for your job.
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.
Analyses of the Average Weekly Earnings (AWE) figures, adjusted for inflation, and of wages and employment contributions underlying single-month movements in the nominal AWE.
