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Rhyddhawyd ar: 2 November 2018
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Casgliad
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.
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Rhyddhawyd ar: 26 May 2026
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Setiau data
The change in employee earnings and employment status after receiving employment advisor support and psychological therapy, compared with psychological therapy only.
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Rhyddhawyd ar: 21 July 2026
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Setiau data
Average weekly earnings for the whole economy, for total and regular pay, in real terms (adjusted for consumer price inflation), Great Britain, monthly, seasonally adjusted.
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Rhyddhawyd ar: 19 November 2025
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Setiau data
Estimates of paid hours worked, weekly, hourly and annual earnings for the highest paid (90 to 99 percentiles) employee jobs in the UK, by public and private sectors.
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Rhyddhawyd ar: 10 March 2014
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Erthygl
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Rhyddhawyd ar: 17 January 2018
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Setiau data
Results of statistical modelling exploring linear regression and Blinder-Oaxaca decomposition.
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Rhyddhawyd ar: 23 September 2020
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Erthygl
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) 2019 provisional data.
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Rhyddhawyd ar: 17 January 2018
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Setiau data
Annual Survey for Hours and Earnings data to support the 'Understanding the gender pay gap' article.
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Rhyddhawyd ar: 14 September 2016
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Erthygl
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Rhyddhawyd ar: 20 July 2016
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Erthygl
Analyses of the average weekly earnings (AWE) figures, which are published in the UK Labour Market statistical bulletin.
