47 datasets found
  1. 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
    Explore at:
    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.

  2. Activities carried out despite lockdown restrictions in the UK as of May...

    • statista.com
    Updated May 5, 2020
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    Statista (2020). Activities carried out despite lockdown restrictions in the UK as of May 2020 [Dataset]. https://www.statista.com/statistics/1114596/uk-activities-done-while-in-lockdown/
    Explore at:
    Dataset updated
    May 5, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In May 2020, a survey carried out in the United Kingdom found that five percent of Brits had been frequently visiting friends they don't live with during the coronavirus lockdown period, while five percent also say they have been regularly visiting family during this period. The government recommends that during the lockdown period people should only go outside for one form of exercise a day, but eight percent of survey respondents said they periodically go out for more than once for exercise. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  3. UK: number of approved coronavirus business interruption loans in the UK...

    • statista.com
    Updated Oct 11, 2023
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    Statista (2023). UK: number of approved coronavirus business interruption loans in the UK 2021 [Dataset]. https://www.statista.com/statistics/1131762/number-of-facilities-approved-by-the-coronavirus-business-interruption-loan-scheme/
    Explore at:
    Dataset updated
    Oct 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020 - May 2021
    Area covered
    United Kingdom
    Description

    Due to the extensive economic disruption caused by the COVID-19 pandemic, the United Kingdom's Government created a range of measures to help support businesses survive the loss in revenues and cashflow. To help smaller businesses (SMEs), the Coronavirus Business Interruption Loan Scheme (CBILS) was set up. The scheme operates through the British Business Bank via more than 40 accredited lenders including high street banks, challenger banks, asset based lenders and smaller specialist local lenders. These lenders can then provide up to five million British pounds (GBP) in the form of term loans, overdraft, invoice finance and asset finance.

    Between the 10th of May, 2020 and the 31st of May, 2021, the cumulative number of approved facilities through the Coronavirus Business Interruption Loan Scheme (CBILS) in the United Kingdom (UK) has reached more than 110,000 at a combined value of approximately 26 billion British pounds.

  4. c

    Understanding Society: COVID-19 Study Teaching Dataset, 2020-2021

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    University of Essex; University of Manchester (2024). Understanding Society: COVID-19 Study Teaching Dataset, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-9019-1
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Institute for Social and Economic Research
    Cathie Marsh Institute for Social Research
    Authors
    University of Essex; University of Manchester
    Time period covered
    Apr 22, 2020 - Sep 30, 2021
    Area covered
    United Kingdom
    Variables measured
    Families/households, Individuals, National
    Measurement technique
    Self-administered questionnaire: Paper, Telephone interview: Computer-assisted (CATI), Web-based interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    As the UK went into the first lockdown of the COVID-19 pandemic, the team behind the biggest social survey in the UK, Understanding Society (UKHLS), developed a way to capture these experiences. From April 2020, participants from this Study were asked to take part in the Understanding Society COVID-19 survey, henceforth referred to as the COVID-19 survey or the COVID-19 study.

    The COVID-19 survey regularly asked people about their situation and experiences. The resulting data gives a unique insight into the impact of the pandemic on individuals, families, and communities. The COVID-19 Teaching Dataset contains data from the main COVID-19 survey in a simplified form. It covers topics such as

    • Socio-demographics
    • Whether working at home and home-schooling
    • COVID symptoms
    • Health and well-being
    • Social contact and neighbourhood cohesion
    • Volunteering

    The resource contains two data files:

    • Cross-sectional: contains data collected in Wave 4 in July 2020 (with some additional variables from other waves);
    • Longitudinal: Contains mainly data from Waves 1, 4 and 9 with key variables measured at three time points.

    Key features of the dataset

    • Missing values: in the web survey, participants clicking "Next" but not answering a question were given further options such as "Don't know" and "Prefer not to say". Missing observations like these are recorded using negative values such as -1 for "Don't know". In many instances, users of the data will need to set these values as missing. The User Guide includes Stata and SPSS code for setting negative missing values to system missing.
    • The Longitudinal file is a balanced panel and is in wide format. A balanced panel means it only includes participants that took part in every wave. In wide format, each participant has one row of information, and each measurement of the same variable is a different variable.
    • Weights: both the cross-sectional and longitudinal files include survey weights that adjust the sample to represent the UK adult population. The cross-sectional weight (betaindin_xw) adjusts for unequal selection probabilities in the sample design and for non-response. The longitudinal weight (ci_betaindin_lw) adjusts for the sample design and also for the fact that not all those invited to participate in the survey, do participate in all waves.
    • Both the cross-sectional and longitudinal datasets include the survey design variables (psu and strata).

    A full list of variables in both files can be found in the User Guide appendix.

    Who is in the sample?

    All adults (16 years old and over as of April 2020), in households who had participated in at least one of the last two waves of the main study Understanding Society, were invited to participate in this survey. From the September 2020 (Wave 5) survey onwards, only sample members who had completed at least one partial interview in any of the first four web surveys were invited to participate. From the November 2020 (Wave 6) survey onwards, those who had only completed the initial survey in April 2020 and none since, were no longer invited to participate

    The User guide accompanying the data adds to the information here and includes a full variable list with details of measurement levels and links to the relevant questionnaire.


    Main Topics:

    • Socio-demographics;
    • Whether working at home and home-schooling;
    • COVID symptoms;
    • Health and well-being;
    • Social contact and neighbourhood cohesion;
    • Volunteering.

  5. Attendance in education and early years settings during the coronavirus...

    • s3.amazonaws.com
    • gov.uk
    Updated Jul 26, 2022
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    Department for Education (2022). Attendance in education and early years settings during the coronavirus (COVID-19) pandemic: 23 March 2020 to 21 July 2022 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/182/1826428.html
    Explore at:
    Dataset updated
    Jul 26, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    The data on Explore Education Statistics shows attendance in education settings since Monday 23 March 2020, and in early years settings since Thursday 16 April 2020. The summary explains the responses for a set time frame.

    The data is collected from a daily education settings status form and a monthly local authority early years survey.

    Previously published data on attendance in education and early years settings during the coronavirus (COVID-19) pandemic is also available.

  6. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • flwrdeptvarieties.store
    Updated Aug 29, 2023
    + more versions
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
    Explore at:
    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  7. l

    Covid 19 Resources

    • data.leicester.gov.uk
    • leicester.opendatasoft.com
    csv, excel, geojson +1
    Updated Mar 25, 2021
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    (2021). Covid 19 Resources [Dataset]. https://data.leicester.gov.uk/explore/dataset/covid-19-resources/
    Explore at:
    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Mar 25, 2021
    License

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

    Description

    A joint map of resources targeted towards the remedy and recovery during and after the COVID 19 crisis. Information about resources and support services provided by a number of organisations across the city.If you are a provider of services and resources, your information can be added and made public via the form available from here.If you have any questions about this dataset please email smart@leicester.gov.uk or complete the form available from here.

  8. UK: number of approved coronavirus large business interruption loans in the...

    • statista.com
    Updated Oct 11, 2023
    + more versions
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    Statista (2023). UK: number of approved coronavirus large business interruption loans in the UK 2021 [Dataset]. https://www.statista.com/statistics/1131769/number-of-facilities-approved-by-the-coronavirus-large-business-interruption-loan-scheme/
    Explore at:
    Dataset updated
    Oct 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020 - May 2021
    Area covered
    United Kingdom
    Description

    In response to the extensive economic disruption caused by the COVID-19 pandemic, the United Kingdom's Government created a range of measures to help support businesses survive the loss in revenues and cashflow. To help mid-sized and larger enterprises with a group turnover of more than 45 million British pounds, the Coronavirus Large Business Interruption Loan Scheme (CLBILS) was set up.

    The scheme operates through the British Business Bank via accredited lenders, which can provide up to 200 million British pounds in finance. These lenders can then provide finance in the form of term loans, revolving credit facilities (overdrafts), invoice finance and asset finance. For term loans and revolving credit facilities, finance that could be offered was increased from 50 million GBP after an announcement by HM Treasury on the 19th of May 2020.

    Between the 10th of May, 2020 and the 31st of May, 2021, the cumulative number of approved facilities through the Coronavirus Large Business Interruption Loan Scheme (CLBILS) in the United Kingdom (UK) has amounted to 753 at a cumulative value of more than 5.6 billion British pounds.

  9. Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023,...

    • statista.com
    Updated Jun 15, 2022
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    Statista (2022). Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023, by day [Dataset]. https://www.statista.com/statistics/1103040/cumulative-coronavirus-covid19-cases-number-worldwide-by-day/
    Explore at:
    Dataset updated
    Jun 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 22, 2020 - Jun 13, 2023
    Area covered
    Worldwide
    Description

    As of June 13, 2023, there have been almost 768 million cases of coronavirus (COVID-19) worldwide. The disease has impacted almost every country and territory in the world, with the United States confirming around 16 percent of all global cases.

    COVID-19: An unprecedented crisis Health systems around the world were initially overwhelmed by the number of coronavirus cases, and even the richest and most prepared countries struggled. In the most vulnerable countries, millions of people lacked access to critical life-saving supplies, such as test kits, face masks, and respirators. However, several vaccines have been approved for use, and more than 13 billion vaccine doses had already been administered worldwide as of March 2023.

    The coronavirus in the United Kingdom Over 202 thousand people have died from COVID-19 in the UK, which is the highest number in Europe. The tireless work of the National Health Service (NHS) has been applauded, but the country’s response to the crisis has drawn criticism. The UK was slow to start widespread testing, and the launch of a COVID-19 contact tracing app was delayed by months. However, the UK’s rapid vaccine rollout has been a success story, and around 53.7 million people had received at least one vaccine dose as of July 13, 2022.

  10. b

    Long-COVID - Datasets - data.bris

    • data.bris.ac.uk
    Updated Nov 6, 2023
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    (2023). Long-COVID - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/2w4fl5nhvpl782hhnybwsv3zwh
    Explore at:
    Dataset updated
    Nov 6, 2023
    Description

    In order to request access to this data please complete the data request form.* * University of Bristol staff should use this form instead.

  11. Coronavirus and depression or anxiety in Great Britain

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Dec 11, 2020
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    Office for National Statistics (2020). Coronavirus and depression or anxiety in Great Britain [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandwellbeing/datasets/coronavirusanddepressionoranxietyingreatbritain
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Dec 11, 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

    Area covered
    United Kingdom
    Description

    Indicators from the Opinions and Lifestyle Survey (OPN) between 11 and 29 November 2020, measuring rates of some form of depression and/or anxiety in adults in Great Britain. Includes breakdowns by personal characteristics, impacts on life and well-being, loneliness and perceptions of when life will return to normal.

  12. Attendance in education and early years settings during the coronavirus...

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 8, 2021
    + more versions
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    Department for Education (2021). Attendance in education and early years settings during the coronavirus (COVID-19) outbreak – 23 March 2020 to 28 May 2021 [Dataset]. https://www.gov.uk/government/statistics/attendance-in-education-and-early-years-settings-during-the-coronavirus-covid-19-outbreak-23-march-2020-to-28-may-2021
    Explore at:
    Dataset updated
    Jun 8, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    Between March 2020 and the end of the summer term, early years settings, schools and colleges were asked to limit attendance to reduce transmission of coronavirus (COVID-19). From the beginning of the autumn term schools were asked to welcome back all pupils to school full-time. From 5 January 2021, schools were asked to provide on-site education for vulnerable children and children of critical workers only.

    The data on explore education statistics shows attendance in education settings since Monday 23 March 2020, and in early years settings since Thursday 16 April 2020. The summary explains the responses for a set time frame.

    The data is collected from a daily education settings status form and a weekly local authority early years survey.

    Previously published data and summaries are available at attendance in education and early years settings during the coronavirus (COVID-19) outbreak.

  13. Coronavirus (COVID-19) vaccination uptake in school pupils, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 23, 2022
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    Office for National Statistics (2022). Coronavirus (COVID-19) vaccination uptake in school pupils, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandwellbeing/datasets/coronavirusvaccinationuptakeinchildrenandyoungpeopleengland
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 23, 2022
    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

    Figures on coronavirus (COVID-19) vaccine uptake in school pupils aged 12 to 17 years attending state-funded secondary, sixth form and special schools, broken down by demographic and geographic characteristics, using a linked English Schools Census and National Immunisation Management System dataset. Experimental Statistics.

  14. c

    Evidence for Equality National Survey: a Survey of Ethnic Minorities During...

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
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    University of Manchester (2024). Evidence for Equality National Survey: a Survey of Ethnic Minorities During the COVID-19 Pandemic, 2021: Teaching Dataset [Dataset]. http://doi.org/10.5255/UKDA-SN-9249-1
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Cathie Marsh Institute for Social Research
    Authors
    University of Manchester
    Area covered
    Great Britain
    Variables measured
    Individuals, National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Evidence for Equality National Survey (EVENS) is a national survey that documents the experiences and attitudes of ethnic and religious minorities in Britain. EVENS was developed by the Centre on the Dynamics of Ethnicity (CoDE) in response to the disproportionate impacts of COVID-19 and is the largest and most comprehensive survey of the lives of ethnic and religious minorities in Britain for more than 25 years. EVENS used pioneering, robust survey methods to collect data in 2021 from 14,200 participants of whom 9,700 identify as from an ethnic or religious minority. The EVENS main dataset, which is available from the UK Data Service under SN 9116, covers a large number of topics including racism and discrimination, education, employment, housing and community, health, ethnic and religious identity, and social and political participation.

    The EVENS Teaching Dataset provides a selection of variables in an accessible form to support the use of EVENS in teaching across a range of subjects and levels of study. The dataset includes demographic data and variables to support the analysis of:

    • racism and belonging
    • health and well-being during COVID-19
    • political attitudes and trust.

    Main Topics:

    Racism, belonging, impact of COVID-19, health, well-being, financial position, political attitudes and trust.

  15. m

    STRIDE Research Software Engineering COVID-19 interview study dataset and...

    • figshare.manchester.ac.uk
    xlsx
    Updated May 30, 2023
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    Tamara Lopez; Caroline Jay; Helen Sharp (2023). STRIDE Research Software Engineering COVID-19 interview study dataset and materials. [Dataset]. http://doi.org/10.48420/14308478.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Manchester
    Authors
    Tamara Lopez; Caroline Jay; Helen Sharp
    License

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

    Description

    This dataset contains results from an interview study deployed between April and June 2020 to understand the changing situation in research software engineering work environments as a result of the COVID-19 pandemic. The study took place over an eight-week period, during which 17 self-identified research software engineers (RSEs) recorded their thoughts about the impact of the pandemic on their work and lifestyles. Each weekly entry included a series of questions based on the agile software engineering retrospective, a technique used within agile teams to look back on previous work. The first week followed a basic retrospective format, asking participants to assess what went well and didn’t go well, and to identify areas that could be improved going forward. To encourage ongoing participation, questions in subsequent weeks were adapted from creative retrospective plans designed by agile practitioners. An invitation to take part was issued via various international RSE social media channels in two batches, resulting in 11 participants starting in the week commencing on the 6th of April, and six starting in the week of the 20th of April. In total, 17 participants responded to the invitation; 15 agreed to participate after the first week. Participants were sent an email each week inviting them to complete a diary entry for a total of eight weeks; data were collected through a survey deployed via JISC’s Online Surveys.The consent form and a pdf of the first week of questions are included in the materials to provide an example of how the survey was administered. The entry week and questions are reported in full in columns A and B in the spreadsheet accordingly. To avoid identification of individuals, demographic information and some contextual information has been redacted. Redactions are indicated by *** in the response.The study was conducted as part of the STRIDE project: https://stride.org.uk.

  16. h

    The impact of COVID on hospitalised patients with COPD; a dataset in OMOP

    • healthdatagateway.org
    unknown
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158), The impact of COVID on hospitalised patients with COPD; a dataset in OMOP [Dataset]. https://healthdatagateway.org/dataset/191
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Background. Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation. COPD is an umbrella term and encompasses a spectrum of pathophysiologies including chronic bronchitis, small airways disease and emphysema. COPD caused an estimated 3 million deaths worldwide in 2016, and is estimated to be the third leading cause of death worldwide. The British Lung Foundation (BLF) estimates that the disease costs the NHS around £1.9 billion per year. COPD is therefore a significant public health challenge. This dataset explores the impact of hospitalisation in patients with COPD during the COVID pandemic.

    PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. The West Midlands has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS.

    EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

    Scope: All hospitalised patients admitted to UHB during the COVID-19 pandemic first wave, curated to focus on COPD. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes ICD-10 & SNOMED-CT codes pertaining to COPD and COPD exacerbations, as well as all co-morbid conditions. Serial, structured data pertaining to process of care (timings, staff grades, specialty review, wards), presenting complaint, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, nebulisers, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT).

    Available supplementary data: More extensive data including wave 2 patients in non-OMOP form. Ambulance, 111, 999 data, synthetic data.

    Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

  17. Digital engagement in culture in the UK 2020, by age

    • statista.com
    Updated Mar 10, 2021
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    Digital engagement in culture in the UK 2020, by age [Dataset]. https://www.statista.com/statistics/1183893/digital-engagement-in-culture-in-the-uk-by-age/
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    Dataset updated
    Mar 10, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 22, 2020 - Jul 15, 2020
    Area covered
    United Kingdom
    Description

    In 2020, the lockdown imposed in the United Kingdom due to the coronavirus (COVID-19) pandemic has sparked interest in digital culture forms. According to a July 2020 survey, since the start of restrictions, around 40 percent of respondents aged 15 to 64 years have engaged with digital cultural content. Older generations were less inclined to participate in cultural events digitally.

  18. Coronavirus and depression in adults, International Territorial Level (ITL)1...

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Oct 1, 2021
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    Office for National Statistics (2021). Coronavirus and depression in adults, International Territorial Level (ITL)1 [Dataset]. https://cy.ons.gov.uk/redir/eyJhbGciOiJIUzI1NiJ9.eyJpbmRleCI6MjgsInBhZ2VTaXplIjo1MCwicGFnZSI6MSwidXJpIjoiL3Blb3BsZXBvcHVsYXRpb25hbmRjb21tdW5pdHkvd2VsbGJlaW5nL2RhdGFzZXRzL2Nvcm9uYXZpcnVzYW5kZGVwcmVzc2lvbmluYWR1bHRzaW50ZXJuYXRpb25hbHRlcnJpdG9yaWFsbGV2ZWxpdGwxIiwibGlzdFR5cGUiOiJkYXRhbGlzdCJ9.8rQ5BxbObbv3KXQhBMl1GRwXPC4X3OAuGpIaQN438zk
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    xlsxAvailable download formats
    Dataset updated
    Oct 1, 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

    Description

    Estimates of adults experiencing some form of depression for ITL1 geographies (countries and regions of Great Britain) split by characteristics including age, sex, employment and tenure. Analysis based on the Opinions and Lifestyle Survey.

  19. c

    Asylum Seekers and Refugees' Negotiations of the COVID-19 Pandemic,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 26, 2025
    + more versions
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    Hopkins, P; Finlay, R; Benwell, M (2025). Asylum Seekers and Refugees' Negotiations of the COVID-19 Pandemic, 2020-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-855857
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Newcastle University
    Authors
    Hopkins, P; Finlay, R; Benwell, M
    Time period covered
    Oct 28, 2020 - Apr 26, 2022
    Area covered
    United Kingdom
    Variables measured
    Organization
    Measurement technique
    Responses from organisation leaders and participants
    Description

    This project collected data about how organisations working with or for asylum seekers and refugees responded to the COVID-19 pandemic.

    This project explored the needs of refugees and asylum-seekers in Glasgow, Scotland and in Newcastle-Gateshead, in the North-East of England, in the context of COVID-19. We focused on these cities because they are key points of dispersal with established asylum service infrastructures spanning distinctive national contexts.

    Due to ethical issues the data cannot be shared.

    The questionnaire used for the collection is made available in the record.

    This project explores the needs of refugees and asylum-seekers in Glasgow, Scotland and in Newcastle-Gateshead, in the North-East of England, in the context of COVID-19. We focus on these cities because they are key points of dispersal with established asylum service infrastructures spanning distinctive national contexts. We will investigate and compare both the response of organisations who provide services for refugees and asylum-seekers, as well as the lived experiences of refugees and asylum-seekers in the context of a global pandemic in Scotland and England. This will build upon five pilot interviews undertaken with refugees in Newcastle-Gateshead during the COVID-19 pandemic. This will facilitate a cross-national, cross-city account of the lived resilience, adaptation strategies and new forms of care that have emerged in the two cities, that can inform local and national government policy. A UK wide survey will provide a crucial overview of the impact of COVID-19 on asylum-seekers and on asylum services. This will be conducted as the start of the study and again six months after this in order to assess how the sector is responding to the unfolding situation. Twenty interviews with organisations who provide services for refugees and asylum-seekers (10 in each city) will supplement forty interviews with refugees and asylum-seekers (20 in each city). Outputs from this project include three academic journal articles; two research reports and two linked policy workshops/webinars in Westminster and Holyrood; two plain language open access online articles about the research findings; and an animated video.

  20. c

    Telephone-Operated Crime Survey for England and Wales, 2020-2021

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
    + more versions
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    Office for National Statistics (2024). Telephone-Operated Crime Survey for England and Wales, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-9198-1
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    Dataset updated
    Nov 29, 2024
    Authors
    Office for National Statistics
    Time period covered
    May 26, 2020 - Mar 30, 2021
    Area covered
    England and Wales
    Variables measured
    Individuals, National
    Measurement technique
    Telephone interview: Computer-assisted (CATI)
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Crime Survey for England and Wales (CSEW) asks a sole adult in a random sample of households about their, or their household's, experience of crime victimisation in the previous 12 months. These are recorded in the victim form data file (VF). A wide range of questions are then asked, covering demographics and crime-related subjects such as attitudes to the police and the criminal justice system (CJS). These variables are contained within the non-victim form (NVF) data file. In 2009, the survey was extended to children aged 10-15 years old; one resident of that age range was also selected from the household and asked about their experience of crime and other related topics. The first set of children's data covered January-December 2009 and is held separately under SN 6601. From 2009-2010, the children's data cover the same period as the adult data and are included with the main study.

    The Telephone-operated Crime Survey for England and Wales (TCSEW) became operational on 20 May 2020. It was a replacement for the face-to-face CSEW, which was suspended on 17 March 2020 because of the coronavirus (COVID-19) pandemic. It was set up with the intention of measuring the level of crime during the pandemic. As the pandemic continued throughout the 2020/21 survey year, questions have been raised as to whether the year ending March 2021 TCSEW is comparable with estimates produced in earlier years by the face-to-face CSEW. The ONS Comparability between the Telephone-operated Crime Survey for England and Wales and the face-to-face Crime Survey for England and Wales report explores those factors that may have a bearing on the comparability of estimates between the TCSEW and the former CSEW. These include survey design, sample design, questionnaire changes and modal changes.

    More general information about the CSEW may be found on the ONS Crime Survey for England and Wales web page and for the previous BCS, from the GOV.UK BCS Methodology web page.

    History - the British Crime Survey

    The CSEW was formerly known as the British Crime Survey (BCS), and has been in existence since 1981. The 1982 and 1988 BCS waves were also conducted in Scotland (data held separately under SNs 4368 and 4599). Since 1993, separate Scottish Crime and Justice Surveys have been conducted. Up to 2001, the BCS was conducted biennially. From April 2001, the Office for National Statistics took over the survey and it became the CSEW. Interviewing was then carried out continually and reported on in financial year cycles. The crime reference period was altered to accommodate this.

    Secure Access CSEW data
    In addition to the main survey, a series of questions covering drinking behaviour, drug use, self-offending, gangs and personal security, and intimate personal violence (IPV) (including stalking and sexual victimisation) are asked of adults via a laptop-based self-completion module (questions may vary over the years). Children aged 10-15 years also complete a separate self-completion questionnaire. The questionnaires are included in the main documentation, but the data are only available under Secure Access conditions (see SN 7280), not with the main study. In addition, from 2011 onwards, lower-level geographic variables are also available under Secure Access conditions (see SN 7311).

    New methodology for capping the number of incidents from 2017-18
    The CSEW datasets available from 2017-18 onwards are based on a new methodology of capping the number of incidents at the 98th percentile. Incidence variables names have remained consistent with previously supplied data but due to the fact they are based on the new 98th percentile cap, and old datasets are not, comparability has been lost with years prior to 2012-2013. More information can be found in the 2017-18 User Guide (see SN 8464) and the article ‘Improving victimisation estimates derived from the Crime Survey for England and Wales’.




    Main Topics:

    The overall length of the survey needed to be shortened for telephone operation from an average of around 50 minutes down to 25 minutes. As a result, it was felt that the survey should only carry questions required to provide key estimates of crime (victimisation and prevalence rates of crimes recorded by the survey during the coronavirus (COVID-19) pandemic and the previous 12 months), or those questions which would provide essential information during the pandemic.
    Some questions considered sufficiently important to measure during the pandemic were omitted from the final questionnaire following ethical consideration. As a result, estimates are not available in relation to sexual assault, partner abuse or abuse during childhood. This includes the preferred measures of domestic abuse and domestic violence.

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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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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.

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