40 datasets found
  1. Business Impact of COVID-19 Survey (BICS)

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 7, 2020
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    Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybics
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    xlsxAvailable download formats
    Dataset updated
    May 7, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures businesses responses on how their turnover, workforce prices, trade and business resilience have been affected in the two week reference period. These data relate to the period 6 April 2020 to 19 April 2020.

  2. Business Impact of COVID-19 Survey (BICS) results

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Nov 19, 2020
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    Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) results [Dataset]. https://cy.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybicsresults
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    xlsxAvailable download formats
    Dataset updated
    Nov 19, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This page is no longer updated. It has been superseded by the Business insights and impacts on the UK economy dataset page (see link in Notices). It contains comprehensive weighted datasets for Wave 7 onwards. All future BICS datasets will be available there. The datasets on this page include mainly unweighted responses from the voluntary fortnightly business survey, which captures businesses’ responses on how their turnover, workforce prices, trade and business resilience have been affected in the two-week reference period, up to Wave 17.

  3. COVID-19: socio-economic risk factors briefing - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 4, 2020
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    ckan.publishing.service.gov.uk (2020). COVID-19: socio-economic risk factors briefing - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/covid-19-socio-economic-risk-factors-briefing
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    Dataset updated
    Jun 4, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Coronavirus affects some members of the population more than others. Emerging evidence suggests that older people, men, people with health conditions such as respiratory and pulmonary conditions, and people of a Black, Asian Minority Ethnic (BAME) background are at particular risk. There are also a number of other wider public health risk factors that have been found to increase the likelihood of an individual contracting coronavirus. This briefing presents descriptive evidence on a range of these factors, seeking to understand at a London-wide level the proportion of the population affected by each.

  4. e

    Socio-economic impact of COVID-19

    • data.europa.eu
    unknown
    Updated Aug 5, 2020
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    (2020). Socio-economic impact of COVID-19 [Dataset]. https://data.europa.eu/data/datasets/2zpyn?locale=en
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    unknownAvailable download formats
    Dataset updated
    Aug 5, 2020
    Description
    • This briefing presents evidence on the socio-economic impact of COVID-19 on London and Londoners​
    • Topics included in the briefing focus on recent data releases published in the preceding months that tell us how social policy issues are evolving in London since the start of the COVID-19 pandemic

    For more on the health and demographic impacts see the Demographic Impact Briefing and for labour market impacts see Labour Market Analysis. A page linking to all Covid-19 related data and analyses can be found here.

  5. Data from: S1 Dataset -

    • plos.figshare.com
    zip
    Updated Jun 15, 2023
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    Raghav Gupta; Md. Mahadi Hasan; Syed Zahurul Islam; Tahmina Yasmin; Jasim Uddin (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0287342.s002
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    zipAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Raghav Gupta; Md. Mahadi Hasan; Syed Zahurul Islam; Tahmina Yasmin; Jasim Uddin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The economic landscape of the United Kingdom has been significantly shaped by the intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the country’s robust and diverse economy, the disruptions caused by Brexit and the COVID-19 pandemic have created uncertainty and upheaval for both businesses and individuals. Recognizing the magnitude of these challenges, academic literature has directed its attention toward conducting immediate research in this crucial area. This study sets out to investigate key economic factors that have influenced various sectors of the UK economy and have broader economic implications within the context of Brexit and COVID-19. The factors under scrutiny include the unemployment rate, GDP index, earnings, and trade. To accomplish this, a range of data analysis tools and techniques were employed, including the Box-Jenkins method, neural network modeling, Google Trend analysis, and Twitter-sentiment analysis. The analysis encompassed different periods: pre-Brexit (2011-2016), Brexit (2016-2020), the COVID-19 period, and post-Brexit (2020-2021). The findings of the analysis offer intriguing insights spanning the past decade. For instance, the unemployment rate displayed a downward trend until 2020 but experienced a spike in 2021, persisting for a six-month period. Meanwhile, total earnings per week exhibited a gradual increase over time, and the GDP index demonstrated an upward trajectory until 2020 but declined during the COVID-19 period. Notably, trade experienced the most significant decline following both Brexit and the COVID-19 pandemic. Furthermore, the impact of these events exhibited variations across the UK’s four regions and twelve industries. Wales and Northern Ireland emerged as the regions most affected by Brexit and COVID-19, with industries such as accommodation, construction, and wholesale trade particularly impacted in terms of earnings and employment levels. Conversely, industries such as finance, science, and health demonstrated an increased contribution to the UK’s total GDP in the post-Brexit period, indicating some positive outcomes. It is worth highlighting that the impact of these economic factors was more pronounced on men than on women. Among all the variables analyzed, trade suffered the most severe consequences in the UK. By early 2021, the macroeconomic situation in the country was characterized by a simple dynamic: economic demand rebounded at a faster pace than supply, leading to shortages, bottlenecks, and inflation. The findings of this research carry significant value for the UK government and businesses, empowering them to adapt and innovate based on forecasts to navigate the challenges posed by Brexit and COVID-19. By doing so, they can promote long-term economic growth and effectively address the disruptions caused by these interrelated issues.

  6. DCMS Coronavirus Impact Business Survey - Round 2

    • gov.uk
    Updated Sep 23, 2020
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    Department for Digital, Culture, Media & Sport (2020). DCMS Coronavirus Impact Business Survey - Round 2 [Dataset]. https://www.gov.uk/government/statistics/dcms-coronavirus-impact-business-survey-round-2
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    Dataset updated
    Sep 23, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    These are the key findings from the second of three rounds of the DCMS Coronavirus Business Survey. These surveys are being conducted to help DCMS understand how our sectors are responding to the ongoing Coronavirus pandemic. The data collected is not longitudinal as responses are voluntary, meaning that businesses have no obligation to complete multiple rounds of the survey and businesses that did not submit a response to one round are not excluded from response collection in following rounds.

    The indicators and analysis presented in this bulletin are based on responses from the voluntary business survey, which captures organisations responses on how their turnover, costs, workforce and resilience have been affected by the coronavirus (COVID-19) outbreak. The results presented in this release are based on 3,870 completed responses collected between 17 August and 8 September 2020.

    1. Experimental Statistics

    This is the first time we have published these results as Official Statistics. An earlier round of the business survey can be found on gov.uk.

    We have designated these as Experimental Statistics, which are newly developed or innovative statistics. These are published so that users and stakeholders can be involved in the assessment of their suitability and quality at an early stage.

    We expect to publish a third round of the survey before the end of the financial year. To inform that release, we would welcome any user feedback on the presentation of these results to evidence@dcms.gov.uk by the end of November 2020.

    2. Data sources

    The survey was run simultaneously through DCMS stakeholder engagement channels and via a YouGov panel.

    The two sets of results have been merged to create one final dataset.

    Invitations to submit a response to the survey were circulated to businesses in relevant sectors through DCMS stakeholder engagement channels, prompting 2,579 responses.

    YouGov’s business omnibus panel elicited a further 1,288 responses. YouGov’s respondents are part of their panel of over one million adults in the UK. A series of pre-screened information on these panellists allows YouGov to target senior decision-makers of organisations in DCMS sectors.

    3. Quality

    One purpose of the survey is to highlight the characteristics of organisations in DCMS sectors whose viability is under threat in order to shape further government support. The timeliness of these results is essential, and there are some limitations, arising from the need for this timely information:

    • Estimates from the DCMS Coronavirus (COVID-19) Impact Business Survey are currently unweighted (i.e., each business was assigned the same weight regardless of turnover, size or industry) and should be treated with caution when used to evaluate the impact of COVID-19 across the UK economy.
    • Survey responses through DCMS stakeholder comms are likely to contain an element of self-selection bias as those businesses that are more severely negatively affected have a greater incentive to report their experience.
    • Due to time constraints, we are yet to undertake any statistical significance testing or provided confidence intervals

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority 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 responsible statistician for this release is Alex Bjorkegren. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.

    Pre-release access

    The document above contains a list of 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.

  7. GDP loss due to COVID-19, by economy 2020

    • statista.com
    Updated May 30, 2025
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    Jose Sanchez (2025). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

  8. Inclusive Recovery and COVID Impact Assessment - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 31, 2025
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    ckan.publishing.service.gov.uk (2025). Inclusive Recovery and COVID Impact Assessment - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/inclusive-recovery-and-covid-impact-assessment
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Calderdale COVID Impact Assessment has been produced as evidence for the development and delivery for the Calderdale Inclusive Economic Recovery Plan and sets out a focus on economic recovery, but also considers the wider impacts of COVID-19 on Calderdale and its communities. Also see Inclusive Recovery and COVID Impact Assessment for more information and a range of related reports and datasets.

  9. e

    Macroeconomic scenarios for London's economy post COVID-19

    • data.europa.eu
    • ckan.publishing.service.gov.uk
    + more versions
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    Greater London Authority, Macroeconomic scenarios for London's economy post COVID-19 [Dataset]. https://data.europa.eu/data/datasets/macroeconomic-scenarios-for-londons-economy-post-covid-191?locale=fr
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    Dataset authored and provided by
    Greater London Authority
    Area covered
    London
    Description

    The main aim of this work is to develop a set of high level macro economic scenarios for the medium-term (to the end of 2022) and for the long-term (to 2030) in order to inform the development of recovery strategies in London, reflecting unprecedented uncertainty on the economic outlook.

    The primary scenario dimensions include Effectiveness/nature of public health response and Effectiveness/impact of economic support measures. Other scenario dimensions include: Brexit and migration; International economic context; Technology and innovation; Financial climate; Political economy; Economic Geography and GHG emissions.

    This is an agile project - GLA Economics will continue to track actual data in order to review the assessment of the likelihood of alternative scenario outcomes. Successive updates will be released when they become available for the benefit of external stakeholders in tackling the COVID-19 crisis.

  10. Economic Impact of COVID-19 on London’s Small and Medium-sized enterprises...

    • ckan.publishing.service.gov.uk
    Updated Jun 9, 2025
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    ckan.publishing.service.gov.uk (2025). Economic Impact of COVID-19 on London’s Small and Medium-sized enterprises (SMEs) [Dataset]. https://ckan.publishing.service.gov.uk/dataset/economic-impact-of-covid-19-on-londons-small-and-medium-sized-enterprises-smes
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London
    Description

    This is a summary report on the economic impact of COVID-19 on London’s small and medium enterprises (SMEs). It presents a uniquely granular and timely analysis of the impacts on London’s SMEs by sectoral, financial, employment, and risk indicators and includes deep dive case studies on the economic impact on the Night Time Economy, high streets and town centres, and the Culture and Creative industries. The analysis was undertaken on a pro bono basis by Bloomberg Associates, for and in close collaboration with the GLA providing guidance and direction. Partners supporting Bloomberg Associates included Slalom, Burning Glass Technologies, DueDil and CK Delta. It leverages a combination of public and private data from a range of financial, economic, behavioural, sociographic and demographic sources and complements the macro-economic scenarios for the London economy. The study was conducted between March 2020 and June 2020 and leverages the most updated data that was available at the time. It is important to note that new data and evidence constantly emerges and could be integrated in a potential future iteration of this work. The report has sought to: Illustrate the impact of the pandemic on London’s SMEs and local employment and improve understanding of the scale and scope of the economic challenges that London faces in recovery. Demonstrate the application of “bottom-up” and localised data to create a more complete, granular picture of overall economic impact Show the intersection of impact by sectors and geographies, exploring the relationship between these two factors to demonstrate the risk hot spots across Greater London. If you have any comments or questions related to the report, please email GLA Economics

  11. g

    Wider impacts of the COVID-19 pandemic and recovery of population health...

    • gimi9.com
    Updated Oct 1, 2020
    + more versions
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    (2020). Wider impacts of the COVID-19 pandemic and recovery of population health outcomes for London | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_wider-impacts-of-the-covid-19-pandemic-and-recovery-of-population-health-outcomes-for-london/
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    Dataset updated
    Oct 1, 2020
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    London
    Description

    These documents were produced through a collaboration between GLA, PHE London and Association of Directors of Public Health London. The wider impacts slide set pulls together a series of rapid evidence reviews and consultation conversations with key London stakeholders. The evidence reviews and stakeholder consultations were undertaken to explore the wider impacts of the pandemic on Londoners and the considerations for recovery within the context of improving population health outcomes. The information presented in the wider impact slides represents the emerging evidence available at the time of conducting the work (May-August 2020). The resource is not routinely updated and therefore further evidence reviews to identify more recent research and evidence should be considered alongside this resource. It is useful to look at this in conjunction with the ‘People and places in London most vulnerable to COVID-19 and its social and economic consequences’ report commissioned as part of this work programme and produced by the New Policy Institute. Additional work was also undertaken on the housing issues and priorities during COVID. A short report and examples of good practice are provided here. These reports are intended as a resource to support stakeholders in planning during the transition and recovery phase. However, they are also relevant to policy and decision-making as part of the ongoing response. The GLA have also commissioned the University of Manchester to undertake a rapid evidence review on inequalities in relation to COVID-19 and their effects on London.

  12. Financial Records of London and UK

    • kaggle.com
    zip
    Updated Nov 27, 2023
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    smmmmmmmmmmmm (2023). Financial Records of London and UK [Dataset]. https://www.kaggle.com/datasets/smmmmmmmmmmmm/financial-records-of-london-and-uk
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    zip(102908 bytes)Available download formats
    Dataset updated
    Nov 27, 2023
    Authors
    smmmmmmmmmmmm
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    London, United Kingdom
    Description

    The provided dataset contains financial and operational metrics spanning from January to September 2020 for a company operating in the UK. It reflects key aspects like revenue, expenses, profit, customer count, transactions, stock price, market sentiment, loan approval rate, employee count, and marketing spend.

    London, as a part of the UK, likely shares these trends but could have its specific nuances due to being a distinct economic hub within the country. In this period:

    1. Financial Performance: The company's revenue fluctuates throughout the months, peaking at £65,090 in June and dipping to £35,184 in July. Despite varying expenses, profits generally stay positive, showcasing resilience in managing costs against revenue. London, being a financial center, might witness higher revenue or fluctuations due to specific industries concentrated there.

    2. Customer Engagement: Customer metrics show variation. Customer count ranges from 131 to 426, with transactions varying from 57 to 188. This indicates fluctuations in customer activity, potentially influenced by market trends, seasonal patterns, or even regional events.

    3. Stock Performance: Stock prices show fluctuation, hitting a high of 138.53 and a low of 78.79. Market sentiment, indicating public confidence, also fluctuates, potentially influencing stock prices. London's stock market might reflect similar volatility but could be influenced by the performance of prominent companies headquartered there.

    4. Business Operations: Loan approval rates stay relatively stable between 70% to 97%, indicating a consistent approach to risk management. Employee count remains somewhat constant, which could signify stable operations without significant expansion or downsizing.

    5. Marketing and Growth: The company's marketing spend varies, suggesting a willingness to adapt strategies based on performance or seasonal demands. London might have higher marketing expenditures due to the competitive market and the need to stand out amidst numerous businesses.

    6. Economic Impact: Economic factors affecting the UK market—Brexit discussions, global economic shifts, or even local policies—might influence these metrics. London, as a financial center, could be more sensitive to global economic changes, impacting revenue, market sentiment, and stock prices more profoundly.

    7. Covid-19 Influence: Given the timeframe (2020), the dataset might reflect the initial impact of the COVID-19 pandemic. The varying metrics could illustrate the company's adaptation strategies in response to changing consumer behaviors and economic uncertainties.

    In London specifically, these trends might amplify due to its prominence in finance, trade, and services. The city's diverse industries and international connections might lead to more pronounced fluctuations in financial indicators like stock prices and market sentiment. Moreover, its position as a global economic hub might expose businesses to unique challenges and opportunities, potentially reflected in the provided dataset.

    Understanding London's specific dynamics within the UK would require deeper analysis, considering sector-specific influences, competitive landscape, and regional economic factors. Nevertheless, this dataset offers insights into the company's adaptability and performance within the broader context of the UK's economic landscape.

  13. d

    505 Economics: Monthly Sub-National GDP Dataset for the UK (granular, timely...

    • datarade.ai
    Updated May 3, 2021
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    505 Economics (2021). 505 Economics: Monthly Sub-National GDP Dataset for the UK (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-the-uk-granular-timely-and-precise-505-economics
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    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 3, 2021
    Dataset authored and provided by
    505 Economics
    Area covered
    United Kingdom
    Description

    505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

    Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

    We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

    This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

    We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

    Key features:

    • Granular: Data is provided at the following geographical units:
      • NUTS3 (e.g. London Boroughs),
      • NUTS2 (e.g. London),
      • NUTS1 (e.g. England), and
      • NUTS0 (e.g. United Kingdom) levels.
    • Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
    • Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
    • Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

    The dataset can be used by:

    • Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
    • Financial services - to get an indication of national-level GDP before official GDP statistics are released
    • Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
    • Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
    • Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
    • Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

    We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

  14. DCMS Sectors Economic Estimates: Monthly GVA (to September 2022)

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 16, 2022
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    Department for Digital, Culture, Media & Sport (2022). DCMS Sectors Economic Estimates: Monthly GVA (to September 2022) [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-monthly-gva-to-september-2022
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    Dataset updated
    Nov 16, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline findings

    Reported 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.

    Released

    16 November 2022

    About this release

    Monthly estimates

    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:

    • Look at relative indicative changes in GVA over time for DCMS sectors and subsectors

    You should not use these estimates to:

    • Quantify GVA for a specific month
    • Measure absolute change in GVA over time
    • Determine findings for DCMS sectors that are defined using more detailed industrial classes (due to the data sources only being available at broader industry levels)

    “Summed monthly” Annual GVA

    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.

    Data sources

    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.

    Revisions

    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

  15. h

    The Economic, Social, and Cultural Impact of the COVID-19 Pandemic on...

    • harmonydata.ac.uk
    • eprints.soton.ac.uk
    Updated Apr 15, 2021
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    (2021). The Economic, Social, and Cultural Impact of the COVID-19 Pandemic on Independent Arts Workers in the United Kingdom: Freelancers in the Dark, Survey Data, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856883
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    Dataset updated
    Apr 15, 2021
    Time period covered
    Nov 23, 2020 - May 27, 2022
    Area covered
    United Kingdom
    Description

    This dataset pertains to a research project investigating the social, cultural, and economic consequences of COVID19 on independent arts workers, specifically in the theatre sector, across England, Scotland, Wales, and Northern Ireland. The project recognised the unique vulnerability of this workforce in dealing with the impact of COVID19. Their workplaces closed overnight and their sector transformed as theatres moved to digital delivery, and their employment status (freelance) made them ineligible for the UK government’s Coronavirus Job Retention Scheme. The motivation of the project was to understand: the employment experiences of this workforce during the first 18 months of the pandemic; how the pandemic affected their planning for the future; how the pandemic changed their creative practices and skills; what impact government and sectoral policy had on the workforce; and to find strategies for government and industry to support this precarious workforce.

    This data collection includes survey responses (n=397) to an online survey which ran from 23/11/2020 to 19/03/2021, and a database of policy events covering the period from the onset of the pandemic until 27/5/2022 (n=1353). This collection contains the survey data. The survey was run through the JISC surveys platform. It had 34 questions collecting a mixture of qualitative and quantitative data. Freeform text responses were alternated with multiple choice, multi-option and Likert scale. The survey captured data on theatre freelancers employment, emotional, and cultural experiences, the region(s) and setting(s) where they worked, and their age, gender identity, race, occupation(s).COVID-19 threatens the performing arts; closures of theatres and outlawing of public gatherings have proven financially devastating to the industry across the United Kingdom and, indeed, the world. The pandemic has sparked a wide range of industry-led strategies designed to alleviate financial consequences and improve audience capture amidst social distancing. COVID-19 has affected all levels of the sector but poses an existential threat to freelancers--Independent Arts Workers (IAWs)--who make up 60% of industry workforce in the UK (EU Labour Force Survey 2017). The crisis has put a spotlight on the vulnerable working conditions, economic sustainability, mental wellbeing, and community support networks of IAWs. IAWs are often overlooked by the industry and researchers, however it is their very precarity that makes them pioneers of adaptability responsible for key innovation within the sector. IAWs may prove essential for the industry's regrowth post-COVID-19. An investigation is necessary into the impact of COVID-19 on IAWs and the wide-ranging creative solutions developing within the industry to overcome them.

    There has been increasing pressure to gather 'robust, real-time data' to investigate the financial, cultural, and social potential long-term consequences of COVID-19 on the UK theatre industry. The impact of the pandemic on IAWs is particularly complex and wide-ranging. A TRG Arts survey stated that 60% of IAWs predict their income will 'more than halve in 2020' while 50% have had 100% of their work cancelled. Industry researchers from TRG Arts and Theatres Trust have launched investigations examining the financial impact of COVID-19 on commercial venues and National Portfolio Organisations, but there has been insufficient research into the consequences for IAWs (eg. actors, directors, producers, writers, theatre makers, technicians) and the smaller SMEs beyond income loss and project cancellation data. In May 2020, Vicky Featherstone of the Royal Court Theatre, stated the importance of support for the 'massive freelance and self-employed workforce' she believed has been 'taken for granted' by the industry. Our study fills this gap by capturing and analysing not only the economic impact, but the social and cultural transformations caused by COVID-19 by and for IAWs. We will compare regional responses across England, Wales, Northern Ireland and Scotland as well as variations across racial and socio-economic groups. Our aims are to document and investigate the impact of COVID-19 on IAWs, identify inequalities in the sector, investigate changes in the type of work produced post-COVID-19, and help develop strategies for how the sector can move forward from this crisis. We will investigate connections between the financial consequences of COVID-19 and creative strategies for industry survival including social support networks, communication initiatives between arts venues and IAWs, and the development of mixed-media work in the wake of the pandemic.

  16. U

    United Kingdom % of Adults: Whose Wellbeing is Being Affected by COVID-19

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom % of Adults: Whose Wellbeing is Being Affected by COVID-19 [Dataset]. https://www.ceicdata.com/en/united-kingdom/opinions-and-lifestyle-survey-social-impacts-of-covid19-on-great-britain/-of-adults-whose-wellbeing-is-being-affected-by-covid19
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 17, 2021 - Mar 27, 2022
    Area covered
    United Kingdom
    Variables measured
    Consumer Survey
    Description

    United Kingdom % of Adults: Whose Wellbeing is Being Affected by COVID-19 data was reported at 28.000 % in 27 Mar 2022. This records a decrease from the previous number of 29.000 % for 13 Mar 2022. United Kingdom % of Adults: Whose Wellbeing is Being Affected by COVID-19 data is updated weekly, averaging 43.000 % from Apr 2020 (Median) to 27 Mar 2022, with 85 observations. The data reached an all-time high of 57.000 % in 21 Feb 2021 and a record low of 28.000 % in 27 Mar 2022. United Kingdom % of Adults: Whose Wellbeing is Being Affected by COVID-19 data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.H091: Opinions and Lifestyle Survey: Social Impacts of COVID-19 on Great Britain (Discontinued).

  17. U

    United Kingdom % of Adults: Worried About The Effect of CO-19 on Their...

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). United Kingdom % of Adults: Worried About The Effect of CO-19 on Their Current Life [Dataset]. https://www.ceicdata.com/en/united-kingdom/opinions-and-lifestyle-survey-social-impacts-of-covid19-on-great-britain/-of-adults-worried-about-the-effect-of-co19-on-their-current-life
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    Dataset updated
    Nov 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 3, 2022 - Feb 5, 2023
    Area covered
    United Kingdom
    Variables measured
    Consumer Survey
    Description

    United Kingdom % of Adults: Worried About The Effect of CO-19 on Their Current Life data was reported at 14.000 % in 05 Feb 2023. This records a decrease from the previous number of 19.000 % for 08 Jan 2023. United Kingdom % of Adults: Worried About The Effect of CO-19 on Their Current Life data is updated weekly, averaging 59.500 % from Mar 2020 (Median) to 05 Feb 2023, with 104 observations. The data reached an all-time high of 86.000 % in 29 Mar 2020 and a record low of 14.000 % in 05 Feb 2023. United Kingdom % of Adults: Worried About The Effect of CO-19 on Their Current Life data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.H091: Opinions and Lifestyle Survey: Social Impacts of COVID-19 on Great Britain (Discontinued). The series shows the percentage of adults who are very or somewhat worried about the effect of COVID-19 on their life right now. [COVID-19-IMPACT]

  18. Economic well-being estimates from the Survey on Living Conditions, Great...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 13, 2021
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    Office for National Statistics (2021). Economic well-being estimates from the Survey on Living Conditions, Great Britain [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/datasets/economicwellbeingestimatesfromthesurveyoflivingconditionsgreatbritain
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    xlsxAvailable download formats
    Dataset updated
    Sep 13, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Estimates of how the coronavirus (COVID-19) has impacted income and affordability in Great Britain. Data are from the Survey on Living Conditions (SLC).

  19. u

    Polish Migrant Essential Workers in the UK during COVID-19: Qualitative...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 20, 2023
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    Wright, S, University of Glasgow; Gawlewicz, A, University of Glasgow; Narkowicz, K, Middlesex University; Piekut, A, University of Sheffield; Trevena, P, University of Glasgow (2023). Polish Migrant Essential Workers in the UK during COVID-19: Qualitative Data, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856576
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    Dataset updated
    Jul 20, 2023
    Authors
    Wright, S, University of Glasgow; Gawlewicz, A, University of Glasgow; Narkowicz, K, Middlesex University; Piekut, A, University of Sheffield; Trevena, P, University of Glasgow
    Area covered
    England, Wales, Scotland, Northern Ireland, United Kingdom
    Description

    The data collection consists of 40 qualitative interviews with Polish migrant essential workers living in the UK and 10 in-depth expert interviews with key stakeholders providing information and support to migrant workers in the UK. All migrant interviews are in Polish. Six of the expert interviews with key stakeholders are in English and four are in Polish. Fieldwork was conducted fully online during the Covid-19 pandemic between March and August 2021, following the third UK-wide Covid-19 lockdown. Restrictions were still in place in some localities. Interviews took place shortly after the end of the transition period concluding the UK’s European Union exit on 1 January 2021. All Polish migrant worker interviewees entered the UK before 1 January 2021 and had the option to apply to the EU Settlement Scheme.

    The objectives of the qualitative fieldwork were to: 1. To synthesise empirical and theoretical knowledge on the short- and long-term impacts of COVID-19 on migrant essential workers. 2. To establish how the pandemic affected Polish migrant essential worker's lives; and expert interviews with stakeholders in the public and third/voluntary sector to investigate how to best support and retain migrant essential workers in COVID-19 recovery strategies. The project also involved: - co-producing policy outputs with partner organisations in England and Scotland; and - an online survey to measure how Polish migrant essential workers across different roles and sectors were impacted by COVID-19 in regard to health, social, economic and cultural aspects, and intentions to stay in the UK/return to Poland (deposited separately to University of Sheffield). Key findings included significant new knowledge about the health, social, economic and cultural impacts of Covid-19 on migrant essential workers. Polish essential workers were severely impacted by the pandemic with major mental health impacts. Mental health support was insufficient throughout the UK. Those seeking support typically turned to private (online) services from Poland as they felt they could not access them in the UK because of language or cultural barriers, lack of understanding of the healthcare system and pathways to mental health support, support being offered during working hours only, or fear of the negative impact of using mental health services on work opportunities. Some participants were in extreme financial hardship, especially those with pre-settled status or those who arrived in the UK during the pandemic. The reasons for financial strain varied but there were strong patterns linked to increased pressure at work, greater exposure to Covid-19 as well as redundancies, pay cuts and rejected benefit applications. There was a tendency to avoid applying for state financial support. These impacts were compounded by the sense of isolation, helplessness, or long-distance grief due to inability to visit loved ones in Poland. Covid-19 impacted most detrimentally on women with caring responsibilities, single parents and people in the health and teaching sectors. The most vulnerable Polish migrant essential workers - e.g. those on lower income, with pre-existing health conditions, restricted access to support and limited English proficiency - were at most risk. Discrimination was reported, including not feeling treated equally in the workplace. The sense of discrimination two-fold: as essential workers (low-paid, low-status, unsafe jobs) and as Eastern Europeans (frequent disciplining practices, treated as threat, assumed to be less qualified). In terms of future plans, some essential workers intended to leave the UK or were unsure about their future place of residence. Brexit was a major reason for uncertain settlement plans. Vaccine hesitancy was identified, based on doubts about vaccination, especially amongst younger respondents who perceived low risks of Covid-19 for their own health, including women of childbearing age, who may have worries over unknown vaccine side-effects for fertility. Interview participants largely turned to Polish language sources for vaccination information, especially social media, and family and friends in Poland. This promoted the spread of misinformation as Poland has a strong anti-vaccination movement.

    COVID-19 has exposed the UK's socio-economic dependence on a chronically insecure migrant essential workforce. While risking their lives to offset the devastating effects of the pandemic, migrant workers reportedly find themselves in precarious professional and personal circumstances (temporary zero-hours contracts, work exploitation, overcrowded accommodation, limited access to adequate health/social services including Universal Credit). This project will investigate the health, social, economic and cultural impacts of COVID-19 on the migrant essential workforce and how these might impact on their continued stay in the UK. It will focus on the largest non-British nationality in the UK, the Polish community, who - while employed across a range of roles and sectors - are overrepresented in lower-paid essential work. We will use this group as an illustrative case study to make wider claims and policy recommendations about migrant work during the pandemic. Using a mixed-methods approach, we will conduct: an online survey to map COVID-19 impacts; in-depth qualitative interviews to establish how the pandemic has affected worker's lives; and expert interviews with stakeholders to investigate how to best support and retain migrant essential workers in COVID-19 recovery strategies. The results will generate the first comprehensive UK-wide dataset on the experiences of migrant essential workers against the backdrop of COVID-19. The research, co-produced with partner organisations (Polish Expats Associations, Fife Migrants Forum, PKAVS Minority Communities Hub and Polish Social and Cultural Association), will generate a policy briefing, a toolkit for employers in the essential work sectors, information resources for migrant workers, alongside media and academic outputs.

  20. Anxiety and Depression Psychological Therapies

    • kaggle.com
    zip
    Updated Apr 28, 2020
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    Marília Prata (2020). Anxiety and Depression Psychological Therapies [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadsanxietycsv
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    zip(19822 bytes)Available download formats
    Dataset updated
    Apr 28, 2020
    Authors
    Marília Prata
    Description

    Context

    National Clinical Audit of Anxiety and Depression Psychological Therapies Spotlight Audit. Data collected between October 2018 and January 2019 and aggregated by mental health services delivering psychological therapies in secondary care.

    https://data.gov.uk/dataset/3da96fcf-7abb-4118-93d0-928b77e3ab75/national-clinical-audit-of-anxiety-and-depression-psychological-therapies-spotlight-audit

    Content

    Freedom of Information (FOI) requests : Dr Alan Quirk Alan.Quirk@rcpsych.ac.uk https://www.rcpsych.ac.uk/improving-care/ccqi/national-clinical-audits/national-clinical-audit-of-anxiety-and-depression

    Acknowledgements

    https://data.gov.uk/dataset/3da96fcf-7abb-4118-93d0-928b77e3ab75/national-clinical-audit-of-anxiety-and-depression-psychological-therapies-spotlight-audit

    Photo by Sarah Kilian on Unsplash (Covid-19 times)

    Inspiration

    The Implications of COVID-19 for Mental Health . The COVID-19 pandemic and resulting economic downturn have negatively affected many people’s mental health and created new barriers for people already suffering from mental illness and substance use disorders. Therefore this Pandemic affects not only the infected persons but all the World, with repercussions that can persists beyond 2020.

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Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybics
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Business Impact of COVID-19 Survey (BICS)

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55 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
May 7, 2020
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures businesses responses on how their turnover, workforce prices, trade and business resilience have been affected in the two week reference period. These data relate to the period 6 April 2020 to 19 April 2020.

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