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
Select another topic or clear all filters.
Economic inactivity (aged 16 to 64 years) by reason (not seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. These are official statistics in development.
Economic inactivity (aged 16 to 64 years ) by reason (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. These are official statistics in development.
Experimental statistics estimating the different health conditions of the working-age population and those economically inactive because of long-term sickness.
Estimates of the links between work-limiting ill health, demographic and labour market changes, and recent rises in economic inactivity, using Annual Population Survey data. Experimental Statistics.
Effects of the UK population’s changing age-composition on economic inactivity. Data cover estimates for 2019 to 2026, including by age and reason.
Estimates from the Over 50s Lifestyle Study for Great Britain, wave 2 for those who have left, not returned but consider returning. Includes data covering reasons for leaving, reasons for not returning and reasons for considering returning.
Data on the characteristics of those who are economically inactive because of long-term sickness from 2019 to 2022, including main health condition, age and sex. Data on flows to and from economic inactivity because of long-term sickness from 2021 to 2022. Data from the Labour Force Survey (LFS) and Annual Population Survey (APS).
Estimates of adults aged 50 to 70 years in Great Britain with breakdowns by different population groups. Analysis based on the Over 50s Lifestyle Study.
Analysis of the number of people who have never done paid work by their current reason for not working, including breakdowns by age and gender.
