7 Datasets that are related to Economic inactivity , sorted by release date
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INAC01 SA: Economic inactivity by reason (seasonally adjusted)Economic inactivity (aged 16 to 64 years ) by reason (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households.
INAC01 NSA: Economic inactivity by reason (not seasonally adjusted)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.
Data on population changes and economic inactivity trends, UKEffects of the UK population’s changing age-composition on economic inactivity. Data cover estimates for 2019 to 2026, including by age and reason.
Motivations and barriers for adults aged 50 years and over to return to the workplace, Great BritainEstimates 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.
Keywords: labour, employment, older, workers, inactivity
Data on economic inactivity because of long-term sicknessData 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).
Keywords: Economic inactivity, Coronavirus, COVID-19, labour market, long-term sickness
Over 50s Lifestyle Study early insights data, Great BritainEstimates of adults aged 50 to 70 years in Great Britain with breakdowns by different population groups. Analysis based on the Over 50s Lifestyle Study.
Keywords: inactive, over 50s, employment, work
Analysis of people who have never done paid workAnalysis of the number of people who have never done paid work by their current reason for not working, including breakdowns by age and gender.
Keywords: Never worked, Employment, .Unemployment, Economic inactivity, Labour market