28 datasets found
  1. Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023

    • statista.com
    Updated Jan 17, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023 [Dataset]. https://www.statista.com/statistics/1109595/coronavirus-mortality-in-the-uk/
    Explore at:
    Dataset updated
    Jan 17, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    On March 4, 2020, the first death as a result of coronavirus (COVID-19) was recorded in the United Kingdom (UK). The number of deaths in the UK has increased significantly since then. As of January 13, 2023, the number of confirmed deaths due to coronavirus in the UK amounted to 202,157. On January 21, 2021, 1,370 deaths were recorded, which was the highest total in single day in the UK since the outbreak began.

    Number of deaths among highest in Europe
    The UK has had the highest number of deaths from coronavirus in western Europe. In terms of rate of coronavirus deaths, the UK has recorded 297.8 deaths per 100,000 population.

    Cases in the UK The number of confirmed cases of coronavirus in the UK was 24,243,393 as of January 13, 2023. The South East has the highest number of first-episode confirmed cases of the virus in the UK with 3,123,050 cases, while London and the North West have 2,912,859 and 2,580,090 confirmed cases respectively. As of January 16, the UK has had 50 new cases per 100,000 in the last seven days.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. Coronavirus (COVID-19) patients in hospital in the United Kingdom (UK) 2022

    • statista.com
    Updated May 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Coronavirus (COVID-19) patients in hospital in the United Kingdom (UK) 2022 [Dataset]. https://www.statista.com/statistics/1190423/hospital-cases-due-to-covid-19-in-the-uk/
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of October 6, 2022, 11,641 confirmed COVID-19 patients were in hospital in the United Kingdom. The number of COVID patients in hospitals first peaked at over 21.6 thousand on April 12, 2020 and dropped as low as 772 on September 11, 2020. However, the number of patients reached a new peak in the winter of 2020/21 with over 39.2 thousand patients in hospital on January 18, 2021.

    The total number of cases in the UK can be found here. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. Number of daily coronavirus (COVID-19) hospitalizations the United Kingdom...

    • statista.com
    Updated Oct 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Number of daily coronavirus (COVID-19) hospitalizations the United Kingdom (UK) 2022 [Dataset]. https://www.statista.com/statistics/1190335/covid-19-daily-hospitalizations-in-the-uk/
    Explore at:
    Dataset updated
    Oct 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom
    Description

    On January 12, 2021, over 4.5 thousand individuals in the UK were admitted to hospital with coronavirus (COVID-19), the highest single amount since the start of the pandemic. The daily hospital cases started to rise significantly at the end of 2020 and into January 2021, however since then the number of hospitalizations fell dramatically as the UK managed to vaccinate millions against COVID-19. Overall, since the pandemic started around 994 thousand people in the UK have been hospitalized with the virus.

    The total number of cases in the UK can be found here. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  4. National flu and COVID-19 surveillance reports: 2024 to 2025 season

    • gov.uk
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UK Health Security Agency (2025). National flu and COVID-19 surveillance reports: 2024 to 2025 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2024-to-2025-season
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses in England.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 18 July 2024 to the present.

    Please note that after the week 21 report (covering data up to week 20), this surveillance report will move to a condensed summer report and will be released every 2 weeks.

    Previous reports on influenza surveillance are also available for:

    View the pre-release access list for these reports.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  5. Summary of features and their statistics (i.e., mean, standard deviation...

    • plos.figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Satyaki Roy; Preetam Ghosh (2023). Summary of features and their statistics (i.e., mean, standard deviation (dev.), maximum (max.) and minimum (min.)). [Dataset]. http://doi.org/10.1371/journal.pone.0241165.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Satyaki Roy; Preetam Ghosh
    License

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

    Description

    The features in the order shown under “Feature name” are: GDP, inter-state distance based on lat-long coordinates, gender, ethnicity, quality of health care facility, number of homeless people, total infected and death, population density, airport passenger traffic, age group, days for infection and death to peak, number of people tested for COVID-19, days elapsed between first reported infection and the imposition of lockdown measures at a given state.

  6. Z

    COVID-19 Press Briefings Corpus

    • data.niaid.nih.gov
    • live.european-language-grid.eu
    • +1more
    Updated Jun 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chatsiou, Kakia (2020). COVID-19 Press Briefings Corpus [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3872416
    Explore at:
    Dataset updated
    Jun 2, 2020
    Dataset provided by
    University of Essex
    Authors
    Chatsiou, Kakia
    License

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

    Description

    The Coronavirus (COVID-19) Press Briefings Corpus is a work in progress to collect and present in a machine readable text dataset of the daily briefings from around the world by government authorities. During the peak of the pandemic, most countries around the world informed their citizens of the status of the pandemic (usually involving an update on the number of infection cases, number of deaths) and other policy-oriented decisions about dealing with the health crisis, such as advice about what to do to reduce the spread of the epidemic.

    Usually daily briefings did not occur on a Sunday.

    At the moment the dataset includes:

    UK/England: Daily Press Briefings by UK Government between 12 March 2020 - 01 June 2020 (70 briefings in total)

    Scotland: Daily Press Briefings by Scottish Government between 3 March 2020 - 01 June 2020 (76 briefings in total)

    Wales: Daily Press Briefings by Welsh Government between 23 March 2020 - 01 June 2020 (56 briefings in total)

    Northern Ireland: Daily Press Briefings by N. Ireland Assembly between 23 March 2020 - 01 June 2020 (56 briefings in total)

    World Health Organisation: Press Briefings occuring usually every 2 days between 22 January 2020 - 01 June 2020 (63 briefings in total)

    More countries will be added in due course, and we will be keeping this updated to cover the latest daily briefings available.

    The corpus is compiled to allow for further automated political discourse analysis (classification).

  7. Cumulative downloads of the NHS COVID-19 app in England and Wales 2021

    • statista.com
    Updated Dec 15, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2021). Cumulative downloads of the NHS COVID-19 app in England and Wales 2021 [Dataset]. https://www.statista.com/statistics/1190062/covid-19-app-downloads-uk/
    Explore at:
    Dataset updated
    Dec 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020 - Dec 2021
    Area covered
    United Kingdom
    Description

    Following a trial run and official release on the 24th of September 2020, the NHS COVID-19 app has been downloaded more than 29 million times in England and Wales, as of December 2021. Developed to complement the NHS Test & Trace in England and the Test, Trace and Protect program in Wales, the app is aimed at increasing the speed and accuracy of contact tracing, and includes features such as local area alerts and venue check-in.

    NHS COVID-19 app usage Between the beginning of June 2021 and the end of July 2021, the number of COVID-19 cases in the United Kingdom started rising again, reaching the peak of 54,674 on the 21st of July. In the previous week, it was reported that more than 600 thousand users of the NHS COVID-19 app in England and Wales had received a self-isolation alert or “ping,” causing what has been since renamed by the media as a “pingdemic.” The NHS COVID-19 app, which works using Bluetooth technology, registers the devices that the users have been in proximity of, and is programmed to send alerts to all the traced contacts in case the app users test positive for coronavirus. While the app’s tracing measurements are currently being reviewed to decrease the number of alerts sent, two in 10 users have reported switching off the app’s contact tracing function. Moreover, according to a survey of online users in Great Britain, only 22 percent of the online users who have the app are using it correctly, while one in ten reported deleting the app altogether.

    Travel health pass and COVID-19 apps In 2021, the rolling out of vaccination plans worldwide prompted health institutions and travel companies to start releasing new apps or updating their current ones to function as health passports. With close to 5,7 million downloads in the first half of 2021, the NHS app was the most downloaded app used to show digital certifications. The CovPass app, which is available to residents in Germany, followed with more than 5.56 million downloads as of the second quarter of 2021. According to a February survey of travelers worldwide, the main concerns over the use of digital health passports related to security risks over personal data being hacked and privacy protection.

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

    • statista.com
    Updated May 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). 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
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 22, 2020 - Jun 13, 2023
    Area covered
    World
    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.

  9. The peak of cumulative number of infected persons in the four cities of...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xudong Guo; Junbo Tong; Peiyu Chen; Wenhui Fan (2023). The peak of cumulative number of infected persons in the four cities of China: Guangzhou, Nanjing, Zhengzhou and Changsha. [Dataset]. http://doi.org/10.1371/journal.pone.0253579.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xudong Guo; Junbo Tong; Peiyu Chen; Wenhui Fan
    License

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

    Area covered
    Zhengzhou, Changsha, Guangzhou, China, Nanjing
    Description

    The peak of cumulative number of infected persons in the four cities of China: Guangzhou, Nanjing, Zhengzhou and Changsha.

  10. s

    Data from: Data for Changes to the sebum lipidome upon COVID-19 infection...

    • openresearch.surrey.ac.uk
    Updated Mar 23, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Matt Spick; Katie Longman; Cecile Frampas; Catia Costa; Holly Lewis; Deborah Dunn-Walters; Alex Stewart; Michael Wilde; George Evetts; Danni Greener; Drupad Trivedi; Perdita Barran; Andy Pitt; MATTHEW PAUL SPICK; Melanie Bailey (2021). Data for Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin [Dataset]. https://openresearch.surrey.ac.uk/esploro/outputs/dataset/Data-for-Changes-to-the-sebum/99549320802346
    Explore at:
    Dataset updated
    Mar 23, 2021
    Dataset provided by
    Zenodo
    Authors
    Matt Spick; Katie Longman; Cecile Frampas; Catia Costa; Holly Lewis; Deborah Dunn-Walters; Alex Stewart; Michael Wilde; George Evetts; Danni Greener; Drupad Trivedi; Perdita Barran; Andy Pitt; MATTHEW PAUL SPICK; Melanie Bailey
    Time period covered
    Mar 23, 2021
    Description

    Description This dataset of participant, field blank and quality control liquid-chromatography-mass spectrometry .raw files supports the following article: Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin - EClinicalMedicine (thelancet.com) Background The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather than looking for the virus itself. Methods and attached dataset description In this pilot study, sebum samples were collected from 67 hospitalised patients (30 COVID-19 positive and 37 COVID-19 negative) by gauze swab. Lipidomics analysis was carried out using liquid chromatography mass spectrometry, identifying 998 reproducible features. Univariate and multivariate statistical analyses were applied to the resulting feature set. The dataset uploaded here represents .raw liquid chromatography-mass spectrometry files for participants (triplicate injections), field blanks and pooled quality control standards, as well as the output peak:area matrix. Findings Lipid levels were depressed in COVID-19 positive participants, indicative of dyslipidemia; p-values of 0·022 and 0·015 were obtained for triglycerides and ceramides respectively, with effect sizes of 0·44 and 0·57. Partial Least Squares-Discriminant Analysis showed separation of COVID-19 positive and negative participants with sensitivity of 57% and specificity of 68%, improving to 79% and 83% respectively when controlled for confounding comorbidities. Interpretation COVID-19 dysregulates many areas of metabolism; in this work we show that the skin lipidome can be added to the list. Given that samples can be provided quickly and painlessly, we conclude that sebum is worthy of future consideration for clinical sampling.

  11. Parameter tuning in the UK case.

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Po Yang; Jun Qi; Shuhao Zhang; Xulong Wang; Gaoshan Bi; Yun Yang; Bin Sheng; Geng Yang (2023). Parameter tuning in the UK case. [Dataset]. http://doi.org/10.1371/journal.pone.0236857.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Po Yang; Jun Qi; Shuhao Zhang; Xulong Wang; Gaoshan Bi; Yun Yang; Bin Sheng; Geng Yang
    License

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

    Area covered
    United Kingdom
    Description

    Parameter tuning in the UK case.

  12. d

    [MI] Tracking Healthcare Activity and Outcomes for Shielded Patients,...

    • digital.nhs.uk
    Updated Jul 21, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2020). [MI] Tracking Healthcare Activity and Outcomes for Shielded Patients, England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-tracking-healthcare-activity-and-outcomes-for-shielded-patients-england
    Explore at:
    Dataset updated
    Jul 21, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Oct 1, 2019 - Jun 17, 2020
    Area covered
    England
    Description

    Shielding is one of the government interventions aimed at reducing mortality from COVID-19. Those considered at highest clinical risk of mortality and severe morbidity from COVID-19 (defined as Clinically Extremely Vulnerable) were identified to be on the Shielded Patient List (SPL). These individuals were asked to stay at home and avoid face-to-face contact for a period of at least 12 weeks during the peak of the pandemic in the UK. This publication considers data relating to emergency admissions, mortality and positive COVID-19 tests for a subset of patients on the English SPL compared with an age-matched sample of the general population. The open data file includes the underlying counts and rates to allow for analysis, modelling and planning to take place to aid the response to the coronavirus pandemic.

  13. e

    Data from: London's Population

    • data.europa.eu
    Updated Jul 15, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). London's Population [Dataset]. https://data.europa.eu/data/datasets/e6y30?locale=sv
    Explore at:
    Dataset updated
    Jul 15, 2024
    Description

    Introduction

    The 2023 mid-year estimate (MYE) is the current official estimate of the population for local authorities in England and Wales. Estimates are produced annually by the Office for National Statistics (ONS) and the 2023 MYE was published on 15 July 2024.

    Comparison to previous MYE data

    The previous MYE series (for the period 2012-2020) starts with the 2011 census estimate. Each subsequent year’s population is calculated by adding estimates of births, deaths and migration to the previous year’s population. The 2021 MYE represents a break in this series as it uses the 2021 census as its base.

    The ONS revised the 2012-2020 MYE series to bring it in line with the 2021 MYE, so that comparisons could be made between between this series and the previous series. The values plotted on the chart are the revised values of the previously published estimates for 2011 to 2022, together with the estimates for 2023.

    Key Points

    • London’s mid-2023 population was 8.945 million
    • London’s population increased by 76,300 persons compared to the previous mid-year value
    • Components of change were as follows:
    • 105,100 births and 53,500 deaths (natural change of 51,600)
    • Net domestic migration was an outflow of 129,200
    • Net international migration was an inflow of 154,100

    Population Change

    London’s 2023 population was 8,945,310. The first chart below shows the 2023 MYE in the context of previous estimates. There is an uptick after a temporary decrease in population which we attribute to the COVID-19 pandemic.

    https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/666cd938678c5361c953cb608e532416.webp" width="1152" alt="Embedded Image" />

    Components of Change

    Births, deaths and migration form the components of population change.

    The 2023 MYE value for births was 4% lower than that in 2022, and for deaths 3% higher. The consequent value for natural change (births - deaths) was 10% lower than in 2022.

    At -129,000, the value for domestic migration (migration within the UK) was nearly 3% higher than the 2022 value, so still significantly lower than the peak net outflow during the COVID-19 pandemic of -186,000. An outflow of domestic migrants from London is normal and this has been the case each year for the last two decades. This flow is partly because many international in-migrants initially settle in London before moving out to other parts of the UK. The second move in this sequence is counted as a domestic migration.

    There has been a marked change in immigration since 2021. This can be attributed to the end of free movement for EU nationals, easing of travel restrictions following the COVID 19 pandemic, and the war in Ukraine. At over 150,000, the 2023 MYE value for London’s net international migration was more than 18% higher than 2022, and represents a considerable increase from 78,000 in 2021.

    https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/cb537d44954e11f7f7b7e2189ae74629.webp" width="1152" alt="Embedded Image" />

    Age structure of the population

    https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/6d4cf55b96888dbc3aacfc1de5c664ec.webp" width="1152" alt="Embedded Image" />

    Future Updates

    The release of the next mid-year estimates is expected in July 2025.

    The full ONS mid-year population estimates release and back series can be found on the ONS website: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates.

    For information relating to London’s population see the demography pages of the London Datastore: https://data.london.gov.uk/demography/ or email demography@london.gov.uk.

    An in-depth review of the available evidence for population change in London since the start of the coronavirus pandemic has been produced by GLA Demography: https://data.london.gov.uk/dataset/population-change-in-london-during-the-pandemic.

  14. Employment exit, odds ratios and standard errors.

    • plos.figshare.com
    xls
    Updated Jun 26, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Darja Reuschke; Donald Houston; Paul Sissons (2024). Employment exit, odds ratios and standard errors. [Dataset]. http://doi.org/10.1371/journal.pone.0306122.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Darja Reuschke; Donald Houston; Paul Sissons
    License

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

    Description

    BackgroundThe COVID-19 pandemic has had enormous implications for the world of work. However, there has been relatively little focus on the employment and workforce challenges of the virus in relation to workforce health, beyond the immediate management of the spread of the disease. There is an important gap in understanding the ongoing workforce issues created by the significant incidence of Long COVID in the population.AimThis paper examines the effects of Long COVID on employment and workers’ mental health to contribute to understanding of work-limiting health conditions and to offer policy implications for COVID-19 and similar health conditions on employment and the workforce.MethodsA large national panel study for the UK is used to estimate the likelihood of exiting employment as well as on changes in working hours and general mental health and happiness of those who remain in work. The sample includes individuals 16 years and older who were in employment in January/February 2020 and followed during the pandemic 2020–2021. Long COVID is self-reported in the data. Informed by conceptual consideration of employment protection in the UK, two groups of individuals with Long COVID are defined based on the duration of symptoms. Group 1 has Long COVID 5–28 weeks after an infection with COVID-19, which is up to the maximum length of Statutory Sick Pay in the UK. Group 2 has symptoms for 29+ weeks, which is beyond the statutory entitlement to sickness pay. Panel regression models are fitted both with fixed-effects and random-effects. Individual and job characteristics are used as controls Those with no COVID-19 symptoms are the reference group.ResultsIn between-person comparison, Group 2 is at higher risk of exiting employment compared to those with no COVID-19 symptoms. Between-person estimates of mental health and well-being show negative effects of Long COVID for both groups but these are greatest in Group 2. Within-person estimates suggest that factors associated with earnings mediate the negative Long COVID effects on mental health in Group 1 and that Group 2 adapts to working with Long COVID. Group 1 is at risk of working zero hours (i.e. being on sick leave) but neither Group 1 nor Group 2 have a higher probability of working fewer hours compared to those with no COVID-19 symptoms. The negative impact of Long COVID on working hours stems primarily from working zero hours (sickness leave) rather than working fewer hours, suggesting a lack of accommodation by employers of Long COVID at work.Policy implicationsThe extension of Statutory Sickness Pay and greater flexibility to manage partial (returns to) work would help preserve employment and mental health. Those with Long COVID for 12 months are likely to meet the definition of disability and so have a right to receive reasonable workplace adjustments.

  15. Forecast: Bicycle sales value in the United Kingdom 2015-2029

    • abripper.com
    • statista.com
    Updated Jul 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Forecast: Bicycle sales value in the United Kingdom 2015-2029 [Dataset]. https://abripper.com/lander/abripper.com/index.php?_=%2Fstatistics%2F398264%2Fbicycle-sales-value-in-great-britain-uk%2F%2341%2FknbtSbwPrE1UM4SH%2BbuJY5IzmCy9B
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The sales value of new bicycles in the United Kingdom has been falling since its peak in 2021. Demand for bikes peaked during the COVID-19 pandemic but began losing momentum from 2022. While sales are expected to continue falling into ****, the market is expected to stabilize after that point.

  16. Rail passenger numbers and crowding on weekdays in major cities in England...

    • gov.uk
    Updated Oct 21, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Transport (2021). Rail passenger numbers and crowding on weekdays in major cities in England and Wales: 2020 [Dataset]. https://www.gov.uk/government/statistics/rail-passenger-numbers-and-crowding-on-weekdays-in-major-cities-in-england-and-wales-2020
    Explore at:
    Dataset updated
    Oct 21, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    England, Wales
    Description

    COVID-19 impact

    Passenger numbers, train capacity, and crowding were affected by COVID-19 during autumn 2020. Passenger numbers fell to historically low levels, the number of planned services was revised, and some operators ran longer trains to allow passengers to maintain social distancing.

    This annual release typically presents statistics on 2 key crowding measures:

    • the percentage of passengers standing
    • passengers in excess of capacity (PiXC)

    It would also provide a list of the 10 most overcrowded routes. However, the impact of COVID-19 meant that demand fell well below capacity levels for all services. As a result, since the values would all be zero, there is no reporting of overcrowding and passenger standing measures within this statistical release (although data tables capture 0% PiXC metric).

    Capacity estimates are indicative as train operators had separate policies on social-distanced capacity.

    Key findings

    In autumn 2020, there were on average 453,603 daily passenger arrivals into major cities. This represents a decrease of 75% compared to autumn 2019 (1.8 million).

    London remains the city with the highest rail passenger numbers with 10 times more passengers arriving across the day than Birmingham, the city with the second highest.

    There was an 81% reduction of passenger arrivals during the AM peak (07:00 to 09:59) across all major cities, with passengers travelling at slightly different times of the day compared to years prior to COVID-19.

    In London, 39% of daily arrivals were in the morning peak (a reduction from 55% in the previous year) reflecting a flattening of peak-demand due to a decrease in commuting trips

    Indicative estimates suggest non-social distancing seating capacity decreased by 8% compared to autumn 2019. For September to December 2020 with 1 metre social distancing, capacity fell 56% on autumn 2019.

    Background information on the rail passenger numbers and crowding statistics and how they are collected can be found in the notes and definitions.

    Contact us

    Rail statistics enquiries

    Email mailto:rail.stats@dft.gov.uk">rail.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  17. Development of e-commerce shares pre and post COVID-19, by country

    • statista.com
    Updated Apr 14, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2021). Development of e-commerce shares pre and post COVID-19, by country [Dataset]. https://www.statista.com/statistics/1228660/e-commerce-shares-development-during-pandemic/
    Explore at:
    Dataset updated
    Apr 14, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021
    Area covered
    Worldwide
    Description

    During the peak of the coronavirus (COVID-19) crisis (March-April 2020) when many countries worldwide introduced lockdown measures, e-commerce share in total retail sales saw proportions that were not seen before. In the United Kingdom, where an already mature e-commerce market exists, e-commerce share saw as high as **** percent, before stabilizing in the subsequent periods. In the most current period (as of January 31, 2021), United Kingdom, United States and Canada were the leading countries where e-commerce had a higher share as a proportion of total retail, at **, **, and ** percent, respectively.

  18. Demographics of each sample in Studies 1 and 2.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lizette Pizza; Samuel Ronfard; John D. Coley; Deborah Kelemen (2023). Demographics of each sample in Studies 1 and 2. [Dataset]. http://doi.org/10.1371/journal.pone.0285549.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lizette Pizza; Samuel Ronfard; John D. Coley; Deborah Kelemen
    License

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

    Description

    Health behaviors that do not effectively prevent disease can negatively impact psychological wellbeing and potentially drain motivations to engage in more effective behavior, potentially creating higher health risk. Despite this, studies linking “moral foundations” (i.e., concerns about harm, fairness, purity, authority, ingroup, and/or liberty) to health behaviors have generally been limited to a narrow range of behaviors, specifically effective ones. We therefore explored the degree to which moral foundations predicted a wider range of not only effective but ineffective (overreactive) preventative behaviors during the COVID-19 pandemic. In Study 1, participants from Canada, the United Kingdom, and the United States reported their engagement in these preventative behaviors and completed a COVID-specific adaptation of the Moral Foundations Questionnaire during the pandemic peak. While differences occurred across countries, authority considerations consistently predicted increased engagement in both effective preventative behaviors but also ineffective overreactions, even when controlling for political ideology. By contrast, purity and liberty considerations reduced intentions to engage in effective behaviors like vaccination but had no effect on ineffective behaviors. Study 2 revealed that the influence of moral foundations on U.S participants’ behavior remained stable 5-months later, after the pandemic peak. These findings demonstrate that the impact of moral foundations on preventative behaviors is similar across a range of western democracies, and that recommendations by authorities can have unexpected consequences in terms of promoting ineffective—and potentially damaging—overreactive behaviors. The findings underscore the importance of moral concerns for the design of health interventions that selectively promote effective preventative behavior.

  19. Daily active users of Zoom on android and iOS devices in the UK 2020

    • statista.com
    Updated Dec 15, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). Daily active users of Zoom on android and iOS devices in the UK 2020 [Dataset]. https://www.statista.com/statistics/1118860/zoom-daily-active-users-uk/
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Nov 2020
    Area covered
    United Kingdom
    Description

    In the UK, the number of daily active users (DAU) of Zoom reached a peak of roughly *** million towards the end of November, 2020. The video communications app saw the start of a huge increase in its DAU around the same time that the coronavirus outbreak hit the UK, as more and more people took part in virtual meetings for work, as well as for socializing with family and friends. This is according to data from Airnow.

  20. Visits from Norway to the UK 2004-2023

    • statista.com
    Updated Nov 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Visits from Norway to the UK 2004-2023 [Dataset]. https://www.statista.com/statistics/473079/number-of-visits-from-norway-to-the-united-kingdom-uk/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2023, there were ******* trips from Norway to the United Kingdom, which marked an increase from the previous year. While visitation rates dropped significantly in 2020 and 2021 due to travel restrictions imposed during the coronavirus (COVID-19) pandemic, they had already been declining since 2014, following a peak of ******* trips.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2023). Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023 [Dataset]. https://www.statista.com/statistics/1109595/coronavirus-mortality-in-the-uk/
Organization logo

Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United Kingdom
Description

On March 4, 2020, the first death as a result of coronavirus (COVID-19) was recorded in the United Kingdom (UK). The number of deaths in the UK has increased significantly since then. As of January 13, 2023, the number of confirmed deaths due to coronavirus in the UK amounted to 202,157. On January 21, 2021, 1,370 deaths were recorded, which was the highest total in single day in the UK since the outbreak began.

Number of deaths among highest in Europe
The UK has had the highest number of deaths from coronavirus in western Europe. In terms of rate of coronavirus deaths, the UK has recorded 297.8 deaths per 100,000 population.

Cases in the UK The number of confirmed cases of coronavirus in the UK was 24,243,393 as of January 13, 2023. The South East has the highest number of first-episode confirmed cases of the virus in the UK with 3,123,050 cases, while London and the North West have 2,912,859 and 2,580,090 confirmed cases respectively. As of January 16, the UK has had 50 new cases per 100,000 in the last seven days.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Search
Clear search
Close search
Google apps
Main menu