Important information:

Loading search results

  • Labour productivity time series

    Quarterly output per hour, output per job and output per worker for the whole UK economy and a range of industries.

  • Unit labour cost and unit wage cost time series

    Unit labour cost, average labour compensation per hour worked, labour share and unit wage cost for the whole UK economy, unit wage cost for manufacturing.

  • Public service productivity, quarterly

    Reference tables for experimental statistics on UK public service productivity. Includes estimates of inputs, output, productivity, and revisions compared to estimates from the previous quarter.

  • Quality-adjusted labour input, underlying data

    Underlying data on hours worked, jobs and income weights for the 360 worker types used in quality-adjusted labour input (QALI). Experimental estimates.

  • Multi-factor productivity (MFP) annual experimental estimates, 1994 to 2020, for sub-sections for industries C, G and M.

  • Quality adjusted labour input, summary data

    Quality-adjusted labour input (QALI) aggregates by industry, education, age and sex categories, presented in log changes. Experimental estimates.

  • Quality adjusted labour input, descriptive statistics

    Relative hourly remuneration and shares of hours worked by industry, education, age and sex categories. Experimental estimates.

  • Capital services estimates

    Indices of capital input to production at a disaggregated level, 57 industries and 13 assets, with corresponding modelled user costs of capital used to weight the component indices. Experimental estimates, UK.

  • Multi-factor productivity estimates

    Quarterly and annual growth accounting data for the UK market sector and component industries. Experimental estimates.

  • Breakdown of contributions, whole economy and sectors

    Provides estimates of contributions to labour productivity, measured as output per hour (OPH), using the "Generalised Exactly Additive Decomposition" (GEAD) methodology as described in Tang and Wang (2004), UK.