63 Datasets that are related to Earnings and working hours , sorted by release date
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Real Time Information statistics reference table, seasonally adjusted
Earnings and employment statistics from Pay As You Earn (PAYE) Real Time Information (RTI) (Experimental Statistics), seasonally adjusted.Keywords: Earnings, Employees, RTI, PAYE
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EARN02: Average weekly earnings by sector
Average weekly earnings by sector (Monthly Wages and Salaries Survey).Keywords: work, jobless, wages, salaries, vacancies
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HOUR01 SA: Actual weekly hours worked (seasonally adjusted)
Actual weekly hours worked (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. -
Average weekly earnings time series
This dataset contains series for Average Weekly Earnings (AWE).Keywords: work, jobless, wages, salaries, vacancies
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Real Time Information statistics reference table, non-seasonally adjusted
Earnings and employment statistics from Pay As You Earn (PAYE) Real Time Information (RTI) (Experimental Statistics), non-seasonally adjusted.Keywords: Earnings, PAYE, Employees, RTI
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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.Keywords: work, jobless, wages, salaries, vacancies
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HOUR01 NSA: Actual weekly hours worked (not seasonally adjusted)
Actual weekly hours worked (not seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. -
EARN03: Average weekly earnings by industry
Average weekly earnings by industry (Monthly Wages and Salaries Survey).Keywords: work, jobless, wages, salaries, vacancies
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Ethnicity Pay Gaps, Regression models and Adjusted pay gaps
Regression results from model pay and the factors which affect it, and the associated adjusted pay gaps.Keywords: equality, inequality, earnings, pay gap, ethnicity
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Ethnicity pay gap reference tables
Ethnicity pay gap estimates for 2018 across different ethnicity breakdowns using the Annual Population Survey.Keywords: ethnicity, pay gap, equality, inequality, earnings