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Please note: all historical data is still on this website.
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HM Revenue and Customs’s (HMRC’s) and the Office for National Statistics’s (ONS’s) update on recommendations from the Office for Statistics Regulation’s (OSR’s) review of statistics on earnings and employment from Pay As You Earn Real Time Information (PAYE RTI) published in June 2023.
Earnings statistics for different ethnic groups, using regression analysis to provide more insight into factors that affect pay, using data from the Annual Population Survey over the time period 2012 to 2022. The 5-category ethnicity breakdown provides comparable estimates across the UK, while the more granular 18-category ethnicity breakdown is only available for England and Wales.
HM Revenue and Customs and the Office for National Statistics’s response to the Office for Statistics Regulation’s review of statistics on earnings and employment from Pay As You Earn Real Time Information published in June 2023.
Analysis of the relationship between recent wage and price increases, in selected industry sectors.
Public administration and education have seen some of the lowest pay growth during 2022
Composition and wage growth of job changers and stayers in the UK using Annual Survey of Hours and Earnings (ASHE) 2021 data. Including analysis of different types of changers and the impact of furlough.
Analysis of how the Coronavirus Job Retention Scheme (CJRS) and changes in the composition of the UK employee workforce during the coronavirus (COVID-19) pandemic have affected employee wage growth, with a comparison with the global financial crisis. Data from the Labour Force Survey. Experimental Statistics.
Jobs less likely to include key workers and with less ability to work from home were more likely to be furloughed or work reduced hours in April 2020
Earnings and employment statistics for different ethnic groups, using regression analysis to provide more insight into factors that affect pay.
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.
