All publications related to enillion ac oriau gwaith

Earnings and employment statistics for different ethnic groups in Great Britain, using regression analysis to provide more insight into factors that affect pay.

Statistical models that explore the relationship between mean hourly earnings and a range of independent variables: Annual Survey of Hours and Earnings 2019 data.

Estimates of the numbers and characteristics of those who could be considered as potential “key workers” in the response to the coronavirus (COVID-19).

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.

A study into the gender gap for pay and commuting time, using data from the Annual Survey of Hours and Earnings.

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.

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.

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.

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.

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.