-
Released on: 12 July 2017
|
Article
Analyses of the average weekly earnings (AWE) figures, adjusted for inflation, which are published in the UK labour market statistical bulletin.
-
Released on: 14 June 2017
|
Article
Analyses of the average weekly earnings (AWE) figures, adjusted for inflation, which are published in the UK labour market statistical bulletin.
-
Released on: 25 June 2025
|
Dataset
The change in earnings, probability of being a paid employee and probability of benefits receipt attributable to having a major condition requiring hospital admission, compared with a reference period before the hospital admission.
-
Released on: 12 June 2018
|
Article
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, which are published in the UK Labour Market Statistical Bulletin.
-
Released on: 15 May 2018
|
Article
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, which are published in the UK labour market statistical bulletin.
-
Released on: 25 September 2017
|
Article
This article explores the distribution of earnings using the Labour Force Survey (LFS) with a focus on low-paid jobs.
-
Released on: 12 April 2017
|
Article
Analyses of the average weekly earnings (AWE) figures, adjusted for inflation, which are published in the UK labour market statistical bulletin.
-
Released on: 15 March 2017
|
Article
Analyses of the average weekly earnings (AWE) figures, adjusted for inflation, which are published in the UK Labour Market Statistical Bulletin.
-
Released on: 4 August 2022
|
Dataset
Regression and Blinder-Oaxaca decomposition outputs for understanding the free school meals earning gap, based on Longitudinal Educational Outcomes (LEO) data for people who were aged 30 years between April 2016 and April 2019.
-
Released on: 2 November 2018
|
Compendium
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.
