64 Datasets that are related to Earnings and working hours , sorted by release date
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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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Earnings and employment from Pay As You Earn Real Time Information, 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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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. -
Earnings and employment from Pay As You Earn Real Time Information, 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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HOUR02 SA: Usual weekly hours worked (seasonally adjusted)
Usual weekly hours worked (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. -
HOUR03: Average hours worked by industry
Average hours worked by industry. These estimates are sourced from the Labour Force Survey, a survey of households.Keywords: work, jobless, wages, salaries, vacancies
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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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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. -
Earnings and employment from Pay As You Earn Real Time Information, revision triangle
Revisions of earnings and employment statistics from Pay As You Earn (PAYE) Real Time Information (RTI) (Experimental Statistics).Keywords: wages, payrolled, employees
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Average weekly earnings time series
This dataset contains series for Average Weekly Earnings (AWE).Keywords: work, jobless, wages, salaries, vacancies