Spotlight
AWE: Whole Economy Year on Year Three Month Average Growth (%): Seasonally Adjusted Total Pay Excluding Arrears
Year on year 3 months average
5.7 %
2023 JAN
- Release date:
- 14 March 2023
- Next release:
- 18 April 2023

Employee earnings in the UK: 2022
What's in the bulletin?
- Median weekly pay for full-time employees was £640 in April 2022, which is a 5.0% increase over the £610 in 2021.
- In real terms (that is, adjusted for inflation) in April 2022, median weekly pay for full-time employees fell by 2.6% on the year.
- Mean paid hours worked for all workers stayed the same between 2021 and 2022, after increasing 1.5% between 2020 and 2021; as with last year, those aged 60 years and over saw an increase in mean paid hours and those aged 18 to 21 years continued to decrease.

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A roundup of the latest data and trends on the economy, business and jobs
Time series related to Earnings and working hours
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AWE: Whole Economy Year on Year Three Month Average Growth (%): Seasonally Adjusted Total Pay Excluding Arrears
Year on year 3 months average
5.7 % 2023 JAN- Release date:
- 14 March 2023
- Next release:
- 18 April 2023
-
£ 630 2023 JAN
- Release date:
- 14 March 2023
- Next release:
- 18 April 2023
-
AWE: Whole Economy Year on Year Three Month Average Growth (%): Seasonally Adjusted Regular Pay Excluding Arrears
Year on year 3 months average
6.5 % 2023 JAN- Release date:
- 14 March 2023
- Next release:
- 18 April 2023
-
£ 589 2023 JAN
- Release date:
- 14 March 2023
- Next release:
- 18 April 2023
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36.4 hours 2022 NOV-JAN
- Release date:
- 14 March 2023
- Next release:
- 18 April 2023
Datasets related to Earnings and working hours
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EARN01: Average weekly earnings
Average Weekly Earnings (AWE), seasonally adjusted. This spreadsheet includes the headline estimates of earnings growth based on the Monthly Wages and Salaries Survey.
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Average weekly earnings time series
This dataset contains series for Average Weekly Earnings (AWE).
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Annual Survey of Hours and Earnings time series of selected estimates
Selected annual estimates of earnings and paid hours worked by UK employees using ASHE data from 1997 to 2022.
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Annual Survey of Hours and Earnings (ASHE) - Guide to tables
Guide to ASHE results tables.
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Gender pay gap
Annual gender pay gap estimates for UK employees by age, occupation, industry, full-time and part-time, region and other geographies, and public and private sector. Compiled from the Annual Survey of Hours and Earnings.
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Index of Labour Costs per Hour, seasonally adjusted
Index of Labour Costs per Hour (ILCH) values and yearly and quarterly growth for industries and sectors, seasonally adjusted, UK.
Publications related to Earnings and working hours
Statistical bulletins
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Employee earnings in the UK: 2022
Measures of employee earnings, using data from the Annual Survey for Hours and Earnings (ASHE).
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Gender pay gap in the UK: 2022
Differences in pay between women and men by age, region, full-time and part-time, and occupation.
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Low and high pay in the UK: 2022
The distribution of hourly earnings of high-paid and low-paid jobs and jobs paid below the National Minimum Wage.
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Index of Labour Costs per Hour, UK: July to September 2020
Changes in the costs of employing labour, analysed by sector and industry. Experimental Statistics.
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Average weekly earnings in Great Britain: March 2023
Estimates of growth in earnings for employees before tax and other deductions from pay.
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Earnings and employment from Pay As You Earn Real Time Information, UK: March 2023
Experimental monthly estimates of payrolled employees and their pay from HM Revenue and Customs’ (HMRC’s) Pay As You Earn (PAYE) Real Time Information (RTI) data. This is a joint release between HMRC and the Office for National Statistics (ONS).
Articles
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Coronavirus (COVID-19) roundup
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London had the smallest gender pay gap 20 years ago, but now it has the largest
The pay gap between men and women working in London has barely changed in over two decades, new ONS analysis shows.
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How do the jobs men and women do affect the gender pay gap?
Women are more likely than men to work in low-paid sectors, but even in roles dominated by women they often earn less.
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New methods for monthly earnings and employment estimates from Pay As You Earn Real Time Information (PAYE RTI) data
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.
Methodology related to Earnings and working hours
- Annual Survey of Hours and Earnings, Low Pay and Annual Survey of Hours and Earnings Pension Results QMI
- Income and earnings statistics guide
- Average weekly earnings QMI
- Guide to interpreting Annual Survey of Hours and Earnings (ASHE) estimates
- Annual Survey of Hours and Earnings (ASHE) methodology and guidance
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