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In 2016 ONS launched a pilot survey of British manufacturing businesses to collect information on their management practices for the first time. This paper presents information on the design and initial results of the survey, focusing on descriptive statistics on the distribution of structured management practices across various characteristics of manufacturing businesses in Great Britain. The results of this pilot survey suggest that on average large businesses and multinationals have more structured management practices than smaller businesses. Businesses which are owned and managed by family members have less structured management practices. There is also some notable variation of structured practices across industry groups.
Draws together the key findings from official statistics and analysis of UK productivity to present a summary of recent developments.
Introduces new experimental estimates for quarterly total public service productivity, inputs and output to provide a short-term, timely indicator of the future path of the annual productivity estimates. A previous publication ‘New nowcasting methods for more timely quarterly estimates of UK total public service productivity’ gives information on the methodology and data sources behind the new quarterly estimates.
Article introducing a new publishing regime for productivity statistics and inviting user feedback.
An international comparison of productivity across the G7 nations, in terms of the level of and growth in GDP per hour and GDP per worker.
Experimental statistics for 2 measures of labour productivity, GVA per hour worked and GVA per filled job, for the NUTS2 and NUTS3 sub-regions in the UK and Local Enterprise Partnerships in England. Typically, the sub-regions with the highest levels of productivity were found in London and the South East regions of England and Scotland. The lowest productivity levels were found in relatively rural or remote areas of the UK.
Sickness absence rates of workers in the UK labour market, including number of days lost and reasons for absence.
