Dataset: Earnings and hours worked, UK region by public and private sector: ASHE Table 25
Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by region, and public and private sector, and non-profit bodies and mutual associations. Hourly and weekly estimates are provided for the pay period that included a specified date in April. They relate to employees on adult rates of pay, whose earnings for the survey pay period were not affected by absence. Estimates for 2020 and 2021 include employees who have been furloughed under the Coronavirus Job Retention Scheme (CJRS). Annual estimates are provided for the tax year that ended on 5th April in the reference year. They relate to employees on adult rates of pay who have been in the same job for more than a year.
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Supporting information: table of contents
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In this dataset
Statistics
- 10th percentile
- 20th percentile
- 25th percentile
- 30th percentile
- 40th percentile
- 60th percentile
- 70th percentile
- 75th percentile
- 80th percentile
- 90th percentile
- Mean
- Median
Geography
- United Kingdom
- Wales
- Scotland
- North East
- North West
- Yorkshire and The Humber
- East Midlands
- West Midlands
- East
- London
- South East
- South West
Hours and earnings
- Annual pay - Gross
- Annual pay - Incentive
- Basic pay - Including other pay
- Hourly pay - Excluding overtime
- Hourly pay - Gross
- Overtime pay
- Paid hours worked - Basic
- Paid hours worked - Overtime
- Paid hours worked - Total
- Weekly pay - Excluding overtime
- Weekly pay - Gross
Sector
- All
- Non-profit body or mutual association
- Private sector
- Public sector
Sex
- All
- Female
- Male
Time
- All years between 2016 and 2023
Working pattern
- All
- Full-Time
- Part-Time
Quality and methodology information
Includes:
- Where the data comes from (source)
- The accuracy and reliability of the data
- The relevance of the data to certain applications or uses
- Things to consider when using the data
Read the full Quality and methodology information (QMI) for this dataset.
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