UK productivity: Oct to Dec 2016

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Output per hour, output per job and output per worker for the UK economy by industry.

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• Multi-factor productivity estimates: Experimental estimates to 2015

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

• An initial assessment of regional management practices: 2015

  A small sample of single-site British manufacturing businesses from the Management Practice Survey pilot finds no evidence of regional variation in management practices.

• Labour productivity measures from the Annual Business Survey: 2006 to 2015

  This article uses firm-level data from the Annual Business Survey (ABS) and the Inter-Departmental Business Register (IDBR) to analyse productivity trends and distributions among businesses in the non-financial business economy of the UK. The coverage of businesses in this article includes the whole of the UK for the period 2006 to 2015.

• Labour productivity, UK: October to December 2016

  Output per hour, output per job and output per worker for the whole economy and a range of industries. Includes estimates of unit labour costs.

• UK productivity introduction: Oct to Dec 2016

  This article draws together the key findings from official statistics and analysis of UK productivity to present a summary of recent developments.

• Exploring labour productivity in rural and urban areas in Great Britain: 2014

  Analysis of productivity (GVA per Worker), 2014, by Rural Urban Classification (RUC2011), Classification of Workplace Zones England and Wales (COWZ-EW) and Built-Up Areas (BUA).

• Introducing quarterly regional labour input metrics

  A first look at the new experimental quarterly regional labour input metrics. Hours and jobs for the NUTS1 regions.

• Quarterly public service productivity (Experimental Statistics): Oct to Dec 2016

  Experimental estimates for quarterly UK total public service productivity, inputs and output to provide a short-term, timely indicator of the future path of the annual productivity estimates.

Data

• 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.

• Multi-factor productivity estimates

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

• Historical series of labour productivity

  Longer runs of selected productivity and unit labour cost series

• Labour productivity in rural and urban areas in Great Britain: additional data

  Productivity distribution (gross value added per worker) for the rural-urban classification and productivity (gross value added per worker) index for Classification of Work Place Zones Groups

• Labour productivity: revisions triangles

  Revisions triangles for the main labour productivity variables.

• 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.

• 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.

• 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.

• 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.

• Sectional unit labour costs

  Sectional unit labour costs and revisions from previously published estimates, UK.

• 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.

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