2088 results

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  • Analysis of people who have never done paid work

    Released on: 28 February 2019 | Dataset

    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.

  • Output per hour worked, UK

    Released on: 19 May 2026 | Dataset

    Estimates for gross value added (GVA), hours worked and output per hour worked for whole economy and section level industries, as defined by the Standard Industrial Classification (SIC) 2007. Contains annual and quarterly statistics. Includes estimates for industry quarter-on-quarter, year-on-year and quarter-on-year contributions to whole economy output per hour worked.

  • Online remote working job vacancies estimates

    Released on: 14 June 2021 | Dataset

    These figures are experimental estimates of online job adverts provided by Adzuna, an online job search engine. The number of job adverts over time is an indicator of the demand for labour. To identify these adverts we have applied text-matching to find job adverts which contain key phrases associated with homeworking such as “remote working”, “work from home”, “home-based” and “telework”. The data do not separately identify job adverts which exclusively offer homeworking from those which offer flexible homeworking, such as one day a week from home.

  • Enabling or disabling factors for returning to work data: modelled findings

    Released on: 30 March 2021 | Dataset

    Experimental statistics using pooled data from the Labour Force Survey 2007 – 2020, and Understanding Society Longitudinal Surveys 2009 – 2018, to understand the enabling and disabling factors that could contribute to an individual's likelihood of returning to work. These tables present modelled estimates of the differences between different groups’ likelihood of returning to work in the next three months or year long periods, over the time frame.

  • Earnings and hours worked, UK region by age group

    Released on: 23 October 2025 | Dataset

    Annual Survey of Hours and Earnings (ASHE) estimates of paid hours worked and earnings for UK employees by sex, and full time and part time, by region and age group.

  • Travel to work estimates using assumed travel behaviours during coronavirus

    Released on: 23 June 2023 | Dataset

    The 2021 travel to work matrix estimated from our aggregate spatial modelling with assumed coronavirus (COVID-19) commuting travel behaviours. The data use the Middle Layer Super Output Area 2011 boundaries covering England and Wales. The first column is origin (where people live) and the first row is destination (where people work). Corresponding values show the number of commuters travelling between origin and destination. These are experimental data and should not be used to make decisions.

  • Output per hour worked by division, UK

    Released on: 19 May 2026 | Dataset

    Estimates for gross value added (GVA), hours worked and output per hour worked for bespoke industries and division level industry, as defined by the Standard Industrial Classification (SIC) 2007. Contains annual and quarterly statistics.

  • LI03 Regional labour market: Local indicators for travel-to-work areas

    Released on: 12 April 2022 | Dataset

    Labour Market indicators for Travel-to-work areas in Great Britain for a 12 month period.

  • LI03 Regional labour market: local indicators for travel-to-work areas

    Released on: 21 April 2026 | Dataset

    Labour market indicators including employment, unemployment and economic inactivity for travel-to-work areas in Great Britain for a 12-month period, published quarterly. These are official statistics in development.

  • Travel to work estimates using assumed pre-coronavirus travel behaviours

    Released on: 23 June 2023 | Dataset

    The 2021 travel to work matrix estimated from our aggregate spatial modelling with assumed pre-coronavirus (COVID-19) commuting travel behaviours. The data use the Middle Layer Super Output Area 2011 boundaries covering England and Wales. The first column is origin (where people live) and the first row is destination (where people work). Corresponding values show the number of commuters travelling between origin and destination. These are experimental data and should not be used to make decisions.