All publications related to earnings and working hours

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

Changes in the costs of employing labour, analysed by sector and industry. Experimental Statistics.

Experimental monthly estimates of payrolled employees and their pay from HM Revenue and Customs’ (HMRC’s) Pay As You Earn (PAYE) Real Time Information (RTI) data. This is a joint release between HMRC and the Office for National Statistics (ONS).

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.

Measures of employee earnings, using data from the Annual Survey for Hours and Earnings (ASHE).

Differences in pay between women and men by age, region, full-time and part-time, and occupation.

The distribution of earnings of high- and low-paid jobs and jobs paid below the National Minimum Wage.

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.