Summary

UK productivity: April to June 2019: Labour productivity by industry and related material.

1.    Labour productivity, UK: April to June 2019
2.    Multi-Factor productivity estimates: Experimental estimates April to June 2019
3.    Public Service productivity estimates: quarterly, UK, April to June 2019 (Experimental estimates)

Following extensive improvements introduced into the national accounts as part of Blue Book 2019, further time is needed to quality assure some of the upcoming productivity statistics.

To ensure both the quality of the outputs and to provide a full explanation of any revisions, we have made the decision to delay publication of Unit labour costs and the Productivity economic commentary.

These will be published on 20 November 2019. We apologise for any inconvenience this may have caused.

Publications

• Public service productivity: quarterly, UK, April to June 2019 (Experimental Statistics)

  Estimates of UK total public service productivity, inputs and output, providing a short-term timely indicator of the future annual productivity estimates.

• Multi-factor productivity estimates: Experimental estimates April to June 2019

  Growth accounting estimates for the UK market sector and 10 industry groups.

• Labour productivity, UK: April to June 2019

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

Data

• Labour productivity: Tables 1 to 8 and R1

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

• 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.

• Labour productivity by industry division

  Productivity hours and output per hour by industry division (two-digit Standard Industrial Classification (SIC)). Seasonally and non-seasonally adjusted. Experimental Statistics, UK.

• 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 estimates

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

• 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.

• Labour productivity: revisions triangles

  Revisions triangles for the main labour productivity variables.

• 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.

• 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.

• Quarterly regional productivity hours and jobs (ITL1)

  Quarterly UK productivity hours and jobs for the International Territorial Level 1 (ITL1) geographies. Seasonally adjusted and non-seasonally adjusted experimental statistics, UK.

• 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.

• Quality adjusted labour input, descriptive statistics

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

• Productivity jobs, productivity hours, market sector workers, market sector hours

  Underlying labour inputs behind the labour productivity estimates by industry and industrial sector as defined by the Standard Industrial Classification (SIC), UK.

Contact details

About the data