Dataset: Earnings and Hours Worked, Work and Residence-Based Travel to Work Area: ASHE Tables 11 and 12
Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by home-based and work-based travel to work area. 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
- Great Britain
- England and Wales
- England
- Wales
- Scotland
- Northern Ireland
- Barnsley
- Bradford
- Halifax
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
Sex
- All
- Female
- Male
Time
- All years between 2014 and 2022
Learn more about Time
The latest year has provisional data. All other years have revised data.
Working pattern
- All
- Full-Time
- Part-Time
Workplace or residence
- Residence
- Workplace
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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