We would like to use cookies to collect information about how you use ons.gov.uk.
We use this information to make the website work as well as possible and improve our services.
You’ve accepted all cookies. You can change your cookie settings at any time. Hide
We moved them to The National Archives website, to keep this website as responsive as possible.
Please note: all historical data is still on this website.
Loading search results
Dewis pwnc arall neu clirio pob hidlydd.
The comparative headline estimates for the Labour Market Survey research findings and the current Labour Forcey Survey for employment, unemployment and economic inactivity for people aged 16 years and over and aged from 16 to 64 years (not seasonally adjusted).
The comparative estimates for the Labour Market Survey research findings and the current Labour Force Survey for people aged from 16 to 24 years in full-time education and people not in full-time education (not seasonally adjusted).
The comparative estimates for the Labour Market Survey research findings and the current Labour Force Survey for actual weekly hours worked by people (not seasonally adjusted).
The comparative estimates for the Labour Market Survey research findings and the current Labour Force Survey for people in full-time, part-time and temporary work (not seasonally adjusted).
Differences in estimates from the longitudinal Labour Force Survey based on original and modified weighting methodologies.
Analysis of 22- to 30-year-olds in self-employment, including breakdowns by sex, industry, highest qualification, working pattern and reason for being self-employed.
Supporting data from the Labour Force Survey (LFS) and Annual Population Survey (APS) on maternal and paternal employment, broken down by age, sex, number of dependent children, family type, skill level and employment type.
Characteristic breakdowns of in-work training participation in the UK, such as sex, age, qualification, occupation. Additional tables on hours spent on training and reasons for participating.
Participation rates of 16- to 65-year-olds who have completed job-related training or education in the UK in the last three months, broken down by three-digit Standard Occupational Classification.
Estimates of the probability of automation in England by demographic, regional and industry breakdowns, as well as the skills and tasks at risk of automation within jobs.