This 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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Tools to locate the dataset tables and supporting documentation for the 2014, 2016, 2018, 2020, 2021 and 2022-based national population projections. Contains links to the principal and (where available) variant projections for the UK and constituent countries for 100 years ahead.
For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.
Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022
APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.
APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.
The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.
Latest edition information
For the eighth edition (July 2023), the variable FDPCH16 was added to the study.
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The number of deaths registered in England and Wales due to and involving coronavirus (COVID-19). Breakdowns include age, sex, region, local authority, Middle-layer Super Output Area (MSOA), indices of deprivation and place of death. Includes age-specific and age-standardised mortality rates.
November 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
Office for National Statistics’ national and subnational mid-year population estimates for England and Wales for a selection of administrative and census areas by additional useful age for 2012 to 2020. Age categories include: 0-15, 5-11, 11-15, 16-17, 16-29, 16-64, 18-24, 30-44, 45-64, 65+ & 70+. The data is source is from ONS Population Estimates. Find out more about this dataset here.
This data is issued at (BGC) Generalised (20m) boundary type for:
Country, Region, Upper Tier Local Authority (2021), Lower Tier Local Authority (2021), Middle Super Output Area (2011), and Lower Super Output Area (2011).
If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at dataenquiries@esriuk.com.
The Office for National Statistics (ONS) produces annual estimates of the resident population of England and Wales at 30 June every year. The most authoritative population estimates come from the census, which takes place every 10 years in the UK. Population estimates from a census are updated each year to produce mid-year population estimates (MYEs), which are broken down by local authority, sex and age. More detailed information on the methods used to generate the mid-year population estimates can be found here.
For further information on the usefulness of the data and guidance on small area geographies please see here.The currency of this data is 2021.
Methodology
The total and 5-year breakdown population counts are reproduced directly from the source data. The age range estimates have been calculated from the published estimates by single year of age. The percentages are calculated using the gender specific (total, female or male) total population count as a denominator except in the case of the male and female total population where the total population is used to give female and male proportions.
This dataset will be updated annually, in two releases.
Creator: Office for National Statistics. Aggregated age groupings and percentages calculated by Esri UK._The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at November 2020 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It helps support the production of area based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 211 MB)Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.
The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost.
The APS allows for analysis to be carried out on detailed subgroups and below regional level. In recent years (particularly with the sample size of the LFS 5 quarter dataset reducing) there has been some interest in producing a two year APS longitudinal dataset to look at any trends that may occur over a year. The APS Two-Year Longitudinal Datasets, covering 2012/13 onwards, have been deposited as a result of this work. Person- and Household-level APS datasets are also available.
For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation.
Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022
According to a survey measuring the sentiment of United Kingdom (UK) consumers undertaking daily activities amid the easing of COVID-19 restrictions, all reported feel more comfortable undertaking daily activities in July 2020 as compared to May 2020. The daily activity in which UK consumers feel most comfortable undertaking is walking in public. This daily activity also saw the greatest change in comfortableness from May to July, where in May only 20 percent of UK consumer's felt comfortable walking in public and in July 73 percent felt comfortable doing so. The daily activity in which UK consumer's feel least comfortable undertaking, despite the easing of lockdown restrictions is trying on clothes in a store. Only 19 percent surveyed stated they feel comfortable trying on clothes in a store in July 2020.
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Indicators from the Office for National Statistics (ONS) Opinions and Lifestyle Survey to understand the impacts of the coronavirus (COVID-19) pandemic on disabled people in Great Britain.
The outbreak of COVID-19, also known as novel coronavirus, has led to revised growth expectations for software spending in 2020. Survey result comparison from March to May 2020 shows that as the impact of the pandemic becomes more known with time, an increasing percentage of software buyers reported no change to their 2020 software spending.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.
The average daily in-home data usage in the United States has increased significantly during the coronavirus (COVID-19) outbreak in March 2020. Compared to the same time in March 2019 the daily average in-home data usage has increased by 38 percent to 16.6 gigabytes, up from 12 gigabytes in March 2019. The increase can be observed across almost all device categories with the data usage of gaming consoles and smartphones increasing the most.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Provisional counts of the number of deaths and age-standardised mortality rates involving the coronavirus (COVID-19), by occupational groups, for deaths registered between 9 March and 28 December 2020 in England and Wales. Figures are provided for males and females.
In 2020, the Shade Room had the highest user engagement on owned video content with 3.3 billion total video content actions (reactions, comments, shares, retweets and likes). Second ranked was the music platform Official WorldStarHipHop with roughly one billion actions on owned video content published on Facebook, Twitter, Instagram.
Marketers in the United Kingdom (UK) are changing strategies and reviewing or delaying campaigns as a result of the impact of the coronavirus outbreak, according to a survey conducted in April 2020. Just under 70 percent are experiencing lower demand for products and services.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the ONS UPRN Directory (ONSUD) for Great Britain as at October 2020. The ONSUD relates the Unique Property Reference Number (UPRN) for each GB address from AddressBase® Epoch 79to a range of current statutory administrative, electoral, health and other statistical geographies. The ONSUD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSUD is issued every 12 weeks and is designed to complement the Ordnance Survey AddressBase® product. For further technical information about this file, please refer to the User Guide document contained within the downloadable zip file. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights. (File Size - 669 MB)
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Underlying labour inputs behind the labour productivity estimates by industry and industrial sector as defined by the Standard Industrial Classification (SIC), UK.
This publication gives previously published copies of the National Statistics publications on the volume of milk used by dairies in England and Wales in the production of drinking milk and milk products that showed figures for 2020. Each publication gives the figures available at that time.The figures are subject to revision each month as new information becomes available.
Get the latest publication and accompanying data sets
For further information please contact:
julie.rumsey@defra.gov.uk
https://twitter.com/@defrastats" class="govuk-link">Twitter: @DefraStats
You can find https://www.gla.gov.uk/who-we-are/glaa-structure-and-cost/" class="govuk-link">data for the Gangmasters and Labour Abuse Authority on its website.
Grant data uses the accounting date - this may vary from payment date by no more than 3 days.
The invoice date is shown, instead of payment date, for most payments to other government departments.
Credit notes relating to goods and services are included from February 2011 onward.
With the exception of grants, the description of expense type for this data has been drawn from ‘purchasing category’, instead of account code. The purchasing category gives a more detailed description of the type of expense. Where an invoice is paid centrally, and is subsequently re-allocated to individual business areas, and the system does not allocate a purchasing category, we have added a purchasing description.
This directorate in particular has several items of spending that are allocated to it in the first instance, prior to subsequent re-allocation. These are marked as PFD*.
The nature of the spending within this directorate is sensitive, which has resulted in much of the information being exempt from publication under the same exemptions as would apply for freedom of information requests.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This User Guide contains information about the NSPL including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. (File Size - 628 KB)
This 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).