38 Articles and compendiums that are related to Earnings and working hours , sorted by release date
Estimates of the numbers and characteristics of those who could be considered as potential “key workers” in the response to the coronavirus (COVID-19).
Keywords: health workers, social care, childcare, education, COVID 19, COVID19, corona virus
New methods for monthly earnings and employment estimates from Pay As You Earn Real Time Information (PAYE RTI) data: December 2019 (Latest release)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.
Keywords: PAYE, RTI, Employees, Earnings
A study into the gender gap for pay and commuting time, using data from the Annual Survey of Hours and Earnings.
Keywords: commute, pay gap, inequality, gender pay gap, ASHE
The commuting gap: women are more likely than men to leave their job over a long commute (Latest release)When deciding whether to leave their job, women are more likely than men to accept lower pay in favour of a shorter commute, contributing to the overall gender pay gap.
Keywords: commuting, pay, gender pay gap, men, women
Our interactive explorer shows the average full-time gross annual pay for different occupations. Find out which jobs pay the most – and least – and see how your job compares.
Keywords: Earnings, Wages, Salaries, Employment, interactivetool, Interactive
Earnings and employment statistics for different ethnic groups in Great Britain, using regression analysis to provide more insight into factors that affect pay.
Keywords: earnings, pay, income, ethnic group
Use our interactive tool to find out the gender pay gap for a range of different jobs, and the percentage of men and women doing those jobs. There are breakdowns available for full- and part-time employees.
Keywords: Gender pay gap, Pay, Earnings, Job, Employment, interactivetool
The results of statistical models that explore the relationship between mean hourly earnings and a range of independent variables, based on Annual Survey of Hours and Earnings (ASHE) 2017 provisional results data.
Keywords: pay, private sector, public sector, earnings by age, gender pay gap, ASHE
Distribution of earnings analyses using Annual Survey of Hours and Earnings (ASHE) provisional 2017 data and previous ASHE datasets, including differences in earnings by age, sex, region, skill-level and working pattern.
Keywords: wages, growth, employment, minimum wage, living wage
Analysis of real earnings and contributions to nominal earnings growth, Great Britain: September 2018 (Latest release)Analyses of the Average Weekly Earnings (AWE) figures, adjusted for inflation, and of wages and employment contributions underlying single-month movements in the nominal AWE.
Keywords: wages, real wages, AWE Real, average weekly earnings