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Annual employee and employment estimates for Great Britain and UK split by broad industry group Standard Industrial Classification: SIC 2007. Results given by full-time or part-time and public or private splits.
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Monthly index values for production and the main Index of Production sectors in the UK to four decimal places.
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TwitterReported DCMS Sector GVA is estimated to have fallen by 0.4% from Quarter 2 (April to June) to Quarter 3 2022 (July to September) in real terms. By comparison, the whole UK economy fell by 0.2% from Quarter 2 to Quarter 3 2022.
GVA of reported DCMS Sectors in September 2022 was 6% above February 2020 levels, which was the most recent month not significantly affected by the pandemic. By comparison, GVA for the whole UK economy was 0.2% lower than in February 2020.
16 November 2022
These Economic Estimates are Official Statistics used to provide an estimate of the economic contribution of DCMS Sectors in terms of gross value added (GVA), for the period January 2019 to September 2022. Provisional monthly GVA in 2019 and 2020 was first published in March 2021 as an ad hoc statistical release. This current release contains new figures for July to September 2022 and revised estimates for previous months, in line with the scheduled revisions that were made to the underlying ONS datasets in October 2022.
Estimates are in chained volume measures (i.e. have been adjusted for inflation), at 2019 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.
You can use these estimates to:
You should not use these estimates to:
Estimates of annual GVA by DCMS Sectors, based on the monthly series, are included in this release for 2019 to 2021. These are calculated by summing the monthly estimates for the calendar year and were first published for 2019 and 2020 in DCMS Sector National Economic Estimates: 2011 - 2020.
Since August 2022, we have been publishing these estimates as part of the regular published series of GVA data, with data being revised in line with revisions to the underlying ONS datasets, as with the monthly GVA estimates. These estimates have been published, updating what was first published last year, in order to meet growing demand for annual figures for GVA beyond the 2019 estimates in our National Statistics GVA publication. The National Statistics GVA publication estimates remain the most robust for our sectors, however estimates for years after 2019 have been delayed owing to the coronavirus (COVID-19) pandemic.
Consequently, these “summed monthly” annual estimate figures for GVA can be used but should not be seen as definitive.
The findings are calculated based on published ONS data sources including the Index of Services and Index of Production.
These data sources provide an estimate of the monthly change in GVA for all UK industries. However, the data is only available for broader industry groups, whereas DCMS sectors are defined at a more detailed industrial level. For example, GVA for ‘Cultural education’ is estimated based on the trend for all education. Sectors such as ‘Cultural education’ may have been affected differently by COVID-19 compared to education in general. These estimates are also based on the composition of the economy in 2019. Overall, this means the accuracy of monthly GVA for DCMS sectors is likely to be lower for months in 2020 and 2021.
The technical guidance contains further information about data sources, methodology, and the validation and accuracy of these estimates.
Figures are provisional and subject to revision on a monthly basis when the ONS Index of Services and Index of Production are updated. Figures for the latest month will be highly uncertain.
An example of the impact of these revisions is highlighted in the following example; for the revisions applied in February 2022 the average change to DCMS sector monthly GVA was 0.6%, but there were larger differences for some sectors, in some months e.g. the value of the Sport sector in May 2021 was revised from £1.27 billion to £1.45 billion, a 13.8% difference.
<h2
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TwitterOutput in the Construction Industry is published monthly by the Office for National Statistics (ONS), containing estimates of construction output. In the months before the quarter month, current and constant price non seasonally adjusted data by sector are published. On the quarter months, additional constant price seasonally adjusted index data and value data by sector are published. On the months after the quarter, additional current priced data by type of work and region are published.
http://www.ons.gov.uk/ons/publications/all-releases.html?definition=tcm%3A77-21530">New Orders in the Construction Industry is published quarterly by the Office for National Statistics (ONS). The publication includes estimates of construction new orders (current price and constant price seasonally adjusted) broken down by sector and, in current prices, by region and by type of work.
For more information about Output and New Orders in the Construction Industry please contact the ONS construction statistics team.
Before 2008, data on Output and New Orders were published by BIS. However, in May 2008, the responsibility for collection and publication of the statistics was http://www.bis.gov.uk/analysis/statistics/construction-statistics/output-and-new-orders/transfer-of-construction-statistics-to-ons">passed from BIS to the ONS. For methodology documents regarding the http://www.berr.gov.uk/files/file20903.pdf">2007 Output and http://www.berr.gov.uk/files/file21036.pdf">2007 New Orders publications, please follow the links (note that some elements of the methodology may have changed following the transfer of construction statistics).
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TwitterThis page lists ad-hoc statistics released during the period July - September 2020. These are additional analyses not included in any of the Department for Digital, Culture, Media and Sport’s standard publications.
If you would like any further information please contact evidence@dcms.gov.uk.
This analysis considers businesses in the DCMS Sectors split by whether they had reported annual turnover above or below £500 million, at one time the threshold for the Coronavirus Business Interruption Loan Scheme (CBILS). Please note the DCMS Sectors totals here exclude the Tourism and Civil Society sectors, for which data is not available or has been excluded for ease of comparability.
The analysis looked at number of businesses; and total GVA generated for both turnover bands. In 2018, an estimated 112 DCMS Sector businesses had an annual turnover of £500m or more (0.03% of the total DCMS Sector businesses). These businesses generated 35.3% (£73.9bn) of all GVA by the DCMS Sectors.
These are trends are broadly similar for the wider non-financial UK business economy, where an estimated 823 businesses had an annual turnover of £500m or more (0.03% of the total) and generated 24.3% (£409.9bn) of all GVA.
The Digital Sector had an estimated 89 businesses (0.04% of all Digital Sector businesses) – the largest number – with turnover of £500m or more; and these businesses generated 41.5% (£61.9bn) of all GVA for the Digital Sector. By comparison, the Creative Industries had an estimated 44 businesses with turnover of £500m or more (0.01% of all Creative Industries businesses), and these businesses generated 23.9% (£26.7bn) of GVA for the Creative Industries sector.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">42.5 KB</span></p>
This analysis shows estimates from the ONS Opinion and Lifestyle Omnibus Survey Data Module, commissioned by DCMS in February 2020. The Opinions and Lifestyles Survey (OPN) is run by the Office for National Statistics. For more information on the survey, please see the https://www.ons.gov.uk/aboutus/whatwedo/paidservices/opinions" class="govuk-link">ONS website.
DCMS commissioned 19 questions to be included in the February 2020 survey relating to the public’s views on a range of data related issues, such as trust in different types of organisations when handling personal data, confidence using data skills at work, understanding of how data is managed by companies and the use of data skills at work.
The high level results are included in the accompanying tables. The survey samples adults (16+) across the whole of Great Britain (excluding the Isles of Scilly).
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TwitterEconomics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes 23 industries in six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross...
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TwitterThis dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees whose NAICS classification has changed between the current and the previous economic censuses. Data are shown for 6-digit current economic census NAICS industries and their 8-digit previous economic census NAICS components for the U.S. Includes only establishments of firms with paid employees.
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Detailed breakdown of business investment by industry and asset, in current prices and chained volume measures, non-seasonally adjusted and seasonally adjusted, UK.
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TwitterNovember 2024: For DCMS sector data, please see: Economic Estimates: Employment and APS earnings in DCMS sectors, January 2023 to December 2023
For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022
October 2024: Following the identification of a minor error, the Labour Force Survey, July to September 2016 to 2020 data tables have been re-published for the digital sector. This affects data for 2019 only - data for 2016 and 2020 are not affected.
Updated estimates for DCMS sectors have been re-published.
Economic Estimates: Employment in DCMS sectors, April 2022 to March 2024.
Although the original versions of the tables were published before the Machinery of Government changes in February 2023, these corrected tables have been re-published for DCMS sectors and the digital sector separately. This is because the digital sector is now a Department for Science, Innovation and Technology (DSIT) responsibility.
The Economic Estimates in this release are a combination of National, Official, and experimental statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy.
These statistics cover the economic contribution of the following DCMS sectors to the UK economy:
Tourism and Civil Society are included where possible.
Users should note that there is overlap between DCMS sector definitions and that the Telecoms sector sits wholly within the Digital sector.
The release also includes estimates for the Audio Visual sector and Computer Games sector for some measures.
A definition for each sector is available in the associated methodology note along with details of methods and data limitations.
Following updates to the underlying methodology used to produce the estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap, we have published revised estimates for employee earnings in the DCMS Sectors and Digital Sector from 2016 to 2020.
We’ve published revised estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap. This was necessary for a number of reasons, including:
These statistics were first published on 23 December 2021
DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
Responsible statistician: Rachel Moyce.
For any queries or feedback, contact <a href="mailto
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For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022
In the 2021 calendar year, there were approximately 4,270,000 filled jobs in DCMS Sectors (excluding Tourism), 12.9% of the UK total, and a 3.1% increase compared to the preceding 12 months.
Growth in total DCMS sector filled jobs was primarily driven by the Creative Industries and Digital sectors, which increased by 113,000 (5.1%) and 108,000 (6.3%) filled jobs respectively. This was partially offset by decreases in the Civil Society and Sport sectors (4,000, 0.5% and 5,000, 0.9% respectively).
Although there is wide variation between sectors in terms of demographic breakdowns, overall the proportion of filled jobs held by women was lower in the DCMS Sectors (excluding Tourism) (44.5%) than the UK overall (48.1%). DCMS Sectors (excluding Tourism) have a similar share of jobs filled by people from ethnic minority groups (excluding white minorities) or by people with disabilities compared to the UK workforce overall.
According to earnings estimates in the 2021 calendar year, within the DCMS Sectors (excluding Tourism) median hourly gross pay was greater than the UK overall, at £15.68 compared to £13.51. Of the individual sectors, only Gambling and Sport had lower pay than the UK average, while the Creative Industries and Digital sector had the highest median pay.
Within the DCMS Sectors (excluding Tourism), the difference in pay between men and women is estimated to exceed the UK overall (DCMS 23.9%, UK 15.1%), while the disability pay gap was similar (14.7%, 14.6%) and there was great variation in pay by ethnic group.
On Friday 4th November, we removed the following estimates of employment and earnings:
This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expect to resolve the issue by Spring 2023. No other data in this release is affected.
The employment (number of filled jobs) estimates series is a National Statistic under the Code of Practice for Statistics. It is calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).
The earnings estimates series is an Experimental Statistic. It is also calculated based on the ONS Annual Population Survey (APS) and was first published in the DCMS Sector National Economics: 2011 to 2020 to provide estimates of earnings with different demographic breakdowns. For headline estimates of earnings, DCMS also publishes estimates using the Annual Survey of Hours and Earnings (ASHE), which are seen as more robust for that purpose.
Additionally, DCMS has published estimates of the Civil Society sector, broken down by Local Authority. This uses pooled data spanning the period 2018 to 2021 to boost sample sizes. It was developed as an “ad hoc” release based on user request and can be found in our ad hoc statistical release page.
In 2020, the ONS conducted a review of the Standard Occupational Classification (SOC) codes to update and revise the classification of occupations to reflect changes within the economy since the previous ‘refresh’, around 2010. As the Creative Industries is defined using the occupation codes which have been determined as creative, DCMS has updated the list of creative occupations based on the
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The Global Industry Classification Standard (GICS) is an industry taxonomy developed in 1999 by MSCI and Standard & Poor's (S&P) for use by the global financial community. The GICS structure consists of
The system is similar to ICB (Industry Classification Benchmark), a classification structure maintained by FTSE Group.
GICS is used as a basis for S&P and MSCI financial market indexes in which each company is assigned to a sub-industry, and to an industry, industry group, and sector, by its principal business activity.
"GICS" is a registered trademark of McGraw Hill Financial and MSCI Inc.
The GICS schema follows this hierarchy:
- Sector
- Industry Group
- Industry
- Sub-industry
That is, a sector is composed by industry groups, which are composed by industries which are composed by sub-industries.
Each item in the hierarchy has an id. Each ids are prefixed by the id of the parent in the hierarchy and generally the number of the ids are increased by 5 or 10. For example the Sector Industrials has the id 20, the Industry group Capital Goods has the id is prefixed by that 20, resulting in 2010.
The dataset is composed by CSV files (currently 2 files). Each representing a different version of the GICS classification.
For each file the columns are:
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TwitterKey Statistics on Business Performance and Operating Characteristics of the Industrial Sector - Table 610-72005 : Principal statistics for all establishments in the manufacturing sector by industry grouping and number of persons engaged
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Quality measures for annual data on size and growth within the UK non-financial business sectors, as measured by the Annual Business Survey.
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TwitterFor DCMS sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
For Digital sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
Last update: 10 February 2022 Next update: July 2022 Geographic coverage: UK
There were, on average, 4.2 million filled jobs (12.7% of the UK total) in DCMS sectors (excluding Tourism) in the 12 month period between October 2020 and September 2021, a 1.7% increase compared to the preceding 12 months. Over the same period total UK filled jobs fell by 1.2%.
The Creative Industries had the most jobs with 2.3 million, followed by the Digital Sector (1.8 million) and Civil Society (0.9 million). The sector with the fewest jobs was Gambling at 76 thousand.
On Friday 4th November, we removed the DCMS statistics on socio-economic background and current occupation, using data from the Labour Force Survey (LFS) for the period July to September 2021.
This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expects to resolve the issue by Spring 2023.
No other data in this release is affected. Data covering https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043520/DCMS_sectors_Economic_Estimates_Employment_Labour_Force_Survey_July_to_September_2016_2019_and_2020.ods">July to September 2020 for socio-economic background and current occupation is unaffected by the issue.
These Economic Estimates are National Statistics used to provide an estimate of employment (number of filled jobs) in the DCMS Sectors, for the period October 2020 to September 2021. The findings are calculated based on the ONS Annual Population Survey (APS).
These statistics cover the contributions of the following DCMS sectors to the UK economy;
A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
Responsible analyst: George Ashford
For any queries or feedback, please contact evidence@dcms.gov.uk.
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TwitterThese economic estimates are used to provide an estimate of the contribution of DCMS sectors to the UK economy, measured by employment (number of filled jobs). These estimates are calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).
The statistics in this series (including this release) will be classed as official statistics in development until further review. On 4 August 2025, the Office for Statistics Regulation (OSR) https://osr.statisticsauthority.gov.uk/correspondence/ed-humpherson-to-sarah-alloway-lasher-suspension-of-official-statistics-accreditation/">temporarily suspended the accreditation from this employment series, at https://osr.statisticsauthority.gov.uk/correspondence/sarah-alloway-lasher-to-ed-humpherson-suspension-of-official-statistics-accreditation/">our request, following ONS https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/">reporting concerns with the quality of estimates for smaller segments of the APS population, which the DCMS Sector Economic Estimates: Employment series depends on.
Due to ongoing challenges with response rates, response levels and weighting, the accreditation of ONS statistics based on Annual Population Survey (APS) was https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/">temporarily suspended on 9 October 2024. Because of the increased volatility of both Labour Force Survey (LFS) and APS estimates, the ONS advises that estimates produced using these datasets should be treated with additional caution. ONS statistics based on both the APS and LFS will be considered official statistics in development until further review.
Following the ONS reporting concerns regarding the quality of the APS estimates, particularly for smaller segments of the population, we conducted analysis to understand the quality of DCMS employment estimates. Consequently, we have concerns regarding increased volatility due to low APS sample sizes and its impact on the reliability and quality of our estimates. The statistics in this series will be classified as official statistics in development until further review. Previous releases in the series have been classified as accredited official statistics, meaning that they have been independently assessed by the OSR as complying with the standards of trustworthiness, quality and value in the Code of Practice for Statistics.
These statistics cover the contributions of the following DCMS sectors to the UK economy;
Tourism estimates are available up to 2023 only due to data availability. We have made some revisions to employment estimates for the tourism sector and DCMS sectors overall for the years 2016 to 2019, following revisions made by the ONS to the underlying https://www.ons.gov.uk/economy/nationalaccounts/satelliteaccounts/datasets/uktourismsatelliteaccounttsatables">Tourism Satellite Account data.
The release also includes estimates for the audio visual sector, computer games sector and art and antiques market.
Users should note that there is overlap between DCMS sector definitions. In particular, several cultural sector industries are simultaneously creative industries.
A definition for each sector is available in the tables published alongside this release. Further information on all these sectors is available in the associated technical report along with details of methods and data limitations.
Alongside these calendar year employment estimates, we would usually publish APS earnings estimates to provide detailed demographic information about earnings in DCMS sectors. Due to ongoing challenges with the quality of APS data, we have not published these estimates in this release. We will explore producing these estimates in future as the quality of APS data improves.
Estimates of the number of filled jobs in the included DCMS sectors in 2024 show that:
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TwitterAll estimates in this release are presented in 2022 prices and in chained volume measures. Estimates are provisional and subject to planned revisions. The index of estimated monthly GVA shows the growth or decline of the Digital Sector and its subsectors relative to January 2019.
This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates of monthly GVA (£ million) are used to determine percentage changes over the relevant time periods mentioned here.
DSIT have recently concluded a consultation on the planned future of the Digital Sector Economic Estimates series - the DSIT response to this consultation can be accessed using this link.
26 September 2024
This is a continuation of the Digital Economic Estimates: Monthly GVA series, previously produced by Department for Culture, Media and Sport (DCMS). Responsibility for Digital Sector policy now sits with the Department for Science, Innovation and Technology (DSIT).
These estimates are Official Statistics, used to provide an estimate of the economic contribution of the Digital Sector, in terms of Gross Value Added (GVA), for the period January 2019 to June 2024. This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates are presented in chained volume measures (i.e. have been adjusted for inflation), at 2022 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.
You can use these estimates to:
You should not use these estimates to:
These findings are calculated based on published Office for National Statistics (ONS) data sources including the Index of Services and Index of Production.
These data sources are available for industrial ‘divisions’, whereas the Digital Sector is defined using more detailed industrial ‘classes’. This represents a significant limitation to this statistical series; the implications of which are discussed further in the technical report .
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Gross value added (balanced) in current basic prices and as chained volume measures, with a breakdown by 24 industry sectors, for each local authority district, metropolitan district, London borough and Scottish Council area in the UK.
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This table contains 99 series, with data for years 1998 - 2009 (not all combinations necessarily have data for all years), and was last released on 2010-07-16. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Retail commodity classification (11 items: Total commodities;Food and beverages;Health and personal care products;Clothing; footwear and accessories ...), Retail trade sector (9 items: Total retail trade; all stores;Building and outdoor home supplies stores;Automotive;Furniture; home furnishings and electronics stores ...).
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Annual employee and employment estimates for Great Britain and UK split by broad industry group Standard Industrial Classification: SIC 2007. Results given by full-time or part-time and public or private splits.