27 datasets found
  1. Pre-existing conditions of people who died due to coronavirus (COVID-19),...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 21, 2023
    + more versions
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    Office for National Statistics (2023). Pre-existing conditions of people who died due to coronavirus (COVID-19), England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/preexistingconditionsofpeoplewhodiedduetocovid19englandandwales
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    xlsxAvailable download formats
    Dataset updated
    Jul 21, 2023
    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

    Pre-existing conditions of people who died due to COVID-19, broken down by country, broad age group, and place of death occurrence, usual residents of England and Wales.

  2. Potential mediators of the association between age ≥75 years and COVID-19...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Frederick K. Ho; Fanny Petermann-Rocha; Stuart R. Gray; Bhautesh D. Jani; S. Vittal Katikireddi; Claire L. Niedzwiedz; Hamish Foster; Claire E. Hastie; Daniel F. Mackay; Jason M. R. Gill; Catherine O'Donnell; Paul Welsh; Frances Mair; Naveed Sattar; Carlos A. Celis-Morales; Jill P. Pell (2023). Potential mediators of the association between age ≥75 years and COVID-19 mortality. [Dataset]. http://doi.org/10.1371/journal.pone.0241824.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Frederick K. Ho; Fanny Petermann-Rocha; Stuart R. Gray; Bhautesh D. Jani; S. Vittal Katikireddi; Claire L. Niedzwiedz; Hamish Foster; Claire E. Hastie; Daniel F. Mackay; Jason M. R. Gill; Catherine O'Donnell; Paul Welsh; Frances Mair; Naveed Sattar; Carlos A. Celis-Morales; Jill P. Pell
    License

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

    Description

    Potential mediators of the association between age ≥75 years and COVID-19 mortality.

  3. SAGE 75 minutes: Coronavirus (COVID-19) response, 7 January 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 22, 2021
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    Scientific Advisory Group for Emergencies (2021). SAGE 75 minutes: Coronavirus (COVID-19) response, 7 January 2021 [Dataset]. https://www.gov.uk/government/publications/sage-75-minutes-coronavirus-covid-19-response-7-january-2021
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    Dataset updated
    Jan 22, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Scientific Advisory Group for Emergencies
    Description

    This is a record of the discussion of SAGE 75 on 7 January 2021.

    The paper is the assessment of the evidence at the time of writing. As new evidence or data emerges, SAGE updates its advice accordingly.

    These documents are released as pre-print publications that have provided the government with rapid evidence during an emergency. These documents have not been peer-reviewed and there is no restriction on authors submitting and publishing this evidence in peer-reviewed journals.

    Redactions within this document have been made to remove any names of junior officials (under SCS) or names of anyone for national security reasons. SAGE 75 includes redactions of 27 junior officials.

  4. Views towards COVID-19 vaccine use in the United Kingdom 2020, by age

    • statista.com
    • thefarmdosupply.com
    Updated Jan 12, 2021
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    Statista (2021). Views towards COVID-19 vaccine use in the United Kingdom 2020, by age [Dataset]. https://www.statista.com/statistics/1195183/covid-19-vaccine-attitudes-in-the-uk-by-age/
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    Dataset updated
    Jan 12, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 16, 2020 - Dec 17, 2020
    Area covered
    United Kingdom
    Description

    In December 2020, a survey carried out in the United Kingdom (UK) found that 87 percent of those aged 75 years of age were willing to take the COVID-19 vaccine and will take the vaccine as soon as it was offered to them. The highest support for taking vaccination was reported in the oldest age groups who are most at risk from the effects of contracting the coronavirus. On the other hand, 18 percent of those aged between 35 and 44 years said they did not want to be vaccinated and will do their best to avoid immunization, even if they were asked to do so by the NHS. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. Mortality profile: March 2023

    • gov.uk
    Updated Mar 7, 2023
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    Office for Health Improvement and Disparities (2023). Mortality profile: March 2023 [Dataset]. https://www.gov.uk/government/statistics/mortality-profile-march-2023
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    Dataset updated
    Mar 7, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    The Office for Health Improvement and Disparities (OHID) has updated the mortality profile.

    The profile brings together a selection of mortality indicators, including from other OHID data tools such as the https://fingertips.phe.org.uk/profile/public-health-outcomes-framework/data" class="govuk-link">Public Health Outcomes Framework, making it easier to assess outcomes across a range of causes of death.

    For the March 2023 update, 12 new indicators have been added to the profile:

    • mortality rate for deaths due to COVID-19, all ages
    • under 75 mortality rate for deaths due to COVID-19
    • mortality rate from all cardiovascular diseases, all ages
    • mortality rate from heart disease, all ages
    • mortality rate from stroke, all ages
    • mortality rate from cancer, all ages
    • mortality rate from breast cancer, all ages
    • mortality rate from colorectal cancer, all ages
    • mortality rate from liver disease, all ages
    • mortality rate from respiratory disease, all ages
    • under 75 mortality rate from lung cancer
    • mortality rate from dementia and Alzheimer’s disease, all ages

    Impact of updated mid-year population estimates on Fingertips indicators

    ONS have released 2021 mid-year population estimates, based on the results of the 2021 Census. They are not comparable with estimates for previous years. Rebased estimates for 2012 to 2020 will be published in due course. Indicators which use mid-year population estimates as their denominators are affected by this change. Where an indicator has been updated to 2021, the non-comparable historical data are not available through Fingertips or in the API, but are made available in csv format through a link in the indicator metadata. Comparable back series data will be added once the rebased populations are available.

    If you would like to send us feedback on the tool please contact pha-ohid@dhsc.gov.uk.

  6. y

    UK Coronavirus Full Vaccination Rate

    • ycharts.com
    html
    Updated Oct 28, 2022
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    Our World in Data (2022). UK Coronavirus Full Vaccination Rate [Dataset]. https://ycharts.com/indicators/uk_coronavirus_full_vaccination_rate
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    htmlAvailable download formats
    Dataset updated
    Oct 28, 2022
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 3, 2021 - Sep 11, 2022
    Area covered
    United Kingdom
    Variables measured
    UK Coronavirus Full Vaccination Rate
    Description

    View daily updates and historical trends for UK Coronavirus Full Vaccination Rate. from United Kingdom. Source: Our World in Data. Track economic data wit…

  7. COVID-19 deaths in the United Kingdom in 2021, by age and gender

    • statista.com
    Updated Feb 18, 2022
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    Statista (2022). COVID-19 deaths in the United Kingdom in 2021, by age and gender [Dataset]. https://www.statista.com/statistics/1291747/covid-19-deaths-in-the-united-kingdom-2021-by-age-and-gender/
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    Dataset updated
    Feb 18, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2021 - Dec 31, 2021
    Area covered
    United Kingdom
    Description

    In the United Kingdom in 2021, COVID-19 was involved in the deaths of 17,432 females and 14,314 males aged 85 years and over. Furthermore, in the age group 75 to 84 years, 14,278 males and 10,544 females recorded deaths that involved COVID-19. For further information about the COVID-19 pandemic, please visit our dedicated Facts and Figures page.

  8. s

    Coronavirus (COVID-19) Vaccine Roll Out

    • ckan.publishing.service.gov.uk
    • data.europa.eu
    Updated Oct 15, 2021
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    (2021). Coronavirus (COVID-19) Vaccine Roll Out [Dataset]. https://ckan.publishing.service.gov.uk/dataset/coronavirus-covid-19-vaccine-roll-out
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    Dataset updated
    Oct 15, 2021
    Description

    Vaccinations in London Between 8 December 2020 and 15 September 2021 5,838,305 1st doses and 5,232,885 2nd doses have been administered to London residents. Differences in vaccine roll out between London and the Rest of England London Rest of England Priority Group Vaccinations given Percentage vaccinated Vaccinations given Percentage vaccinated Group 1 Older Adult Care Home Residents 21,883 95% 275,964 96% Older Adult Care Home Staff 29,405 85% 381,637 88% Group 2 80+ years 251,021 83% 2,368,284 93% Health Care Worker 174,944 99% 1,139,243 100%* Group 3 75 - 79 years 177,665 90% 1,796,408 99% Group 4 70 - 74 years 252,609 90% 2,454,381 97% Clinically Extremely Vulnerable 278,967 88% 1,850,485 95% Group 5 65 - 69 years 285,768 90% 2,381,250 97% Group 6 At Risk or Carer (Under 65) 983,379 78% 6,093,082 88% Younger Adult Care Home Residents 3,822 92% 30,321 93% Group 7 60 - 64 years 373,327 92% 2,748,412 98% Group 8 55 - 59 years 465,276 91% 3,152,412 97% Group 9 50 - 54 years 510,132 90% 3,141,219 95% Data as at 15 September 2021 for age based groups and as at 12 September 2021 for non-age based groups * The number who have received their first dose exceeds the latest official estimate of the population for this group There is considerable uncertainty in the population denominators used to calculate the percentage vaccinated. Comparing implied vaccination rates for multiple sources of denominators provides some indication of uncertainty in the true values. Confidence is higher where the results from multiple sources agree more closely. Because the denominator sources are not fully independent of one another, users should interpret the range of values across sources as indicating the minimum range of uncertainty in the true value. The following datasets can be used to estimate vaccine uptake by age group for London: ONS 2020 mid-year estimates (MYE). This is the population estimate used for age groups throughout the rest of the analysis. Number of people ages 18 and over on the National Immunisation Management Service (NIMS) ONS Public Health Data Asset (PHDA) dataset. This is a linked dataset combining the 2011 Census, the General Practice Extraction Service (GPES) data for pandemic planning and research and the Hospital Episode Statistics (HES). This data covers a subset of the population. Vaccine roll out in London by Ethnic Group Understanding how vaccine uptake varies across different ethnic groups in London is complicated by two issues: Ethnicity information for recipients is unavailable for a very large number of the vaccinations that have been delivered. As a result, estimates of vaccine uptake by ethnic group are highly sensitive to the assumptions about and treatment of the Unknown group in calculations of rates. For vaccinations given to people aged 50 and over in London nearly 10% do not have ethnicity information available, The accuracy of available population denominators by ethnic group is limited. Because ethnicity information is not captured in official estimates of births, deaths, and migration, the available population denominators typically rely on projecting forward patterns captured in the 2011 Census. Subsequent changes to these patterns, particularly with respect to international migration, leads to increasing uncertainty in the accuracy of denominators sources as we move further away from 2011. Comparing estimated population sizes and implied vaccination rates for multiple sources of denominators provides some indication of uncertainty in the true values. Confidence is higher where the results from multiple sources agree more closely. Because the denominator sources are not fully independent of one another, users should interpret the range of values across sources as indicating the minimum range of uncertainty in the true value. The following population estimates are available by Ethnic group for London:

  9. Shopping pattern changes during the Coronavirus pandemic in the UK 2020, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Shopping pattern changes during the Coronavirus pandemic in the UK 2020, by age [Dataset]. https://www.statista.com/statistics/1104729/shopping-patterns-during-coronavirus-in-the-uk/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 13, 2020 - Mar 16, 2020
    Area covered
    United Kingdom
    Description

    The novel Coronavirus (Covid-19), which emerged in late 2019, has had drastic effects on the shopping habits of supermarket shoppers globally. Stockpiling of many consumer goods products surged amidst the shutdown of many businesses and quarantine measures implemented by governments around the world.

    Age group differences of Coronavirus stockpiling in the UK As initial quarantine measures were implemented in the UK during the first week of March 2020, the purchase of grocery store items such as such toilet paper, household cleaners and over-the-counter medicine saw a major increase. According to a poll conducted by Ipsos, there were noticeable differences between the stockpiling behaviors of older versus younger shoppers. ** percent of shoppers in the older age range of 55 to 75 years old stated their shopping patterns were unchanged during this time. This was not the case for younger shoppers, especially 18-35-year-olds, of whom ** percent stated they did purchase additional items.

    Coronavirus stockpiling in the UK versus other countries

    As seen in the present chart, 42-65 percent of all those surveyed stated their grocery shopping habits have remained unchanged during the Coronavirus pandemic. This number is in accordance with another poll by in which *** in *** UK citizens stated it was unacceptable to stockpile items due to coronavirus concerns. A worldwide poll measuring stockpiling trends from ** countries further demonstrated that the stockpiling behaviors of UK consumers came in ninth place, before Australia and after France.

  10. COVID-19 surge testing outcomes reports: management information

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 1, 2021
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    Public Health England (2021). COVID-19 surge testing outcomes reports: management information [Dataset]. https://www.gov.uk/government/statistical-data-sets/covid-19-surge-testing-outcomes-reports-management-information
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    Dataset updated
    Jul 1, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Description

    https://assets.publishing.service.gov.uk/media/60dc5850e90e077173ce61c3/Surge_testing_summary_2021-06-29.ods">Surge testing summary 1 July 2021

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    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:publications@phe.gov.uk" target="_blank" class="govuk-link">publications@phe.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

    https://assets.publishing.service.gov.uk/media/60d30c388fa8f57cef61fd15/Surge_testing_summary_2021-06-22.ods">Surge testing summary 24 June 2021

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  11. d

    1.4 Under 75 mortality rate from cancer

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Mar 17, 2022
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    (2022). 1.4 Under 75 mortality rate from cancer [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-outcomes-framework/march-2022
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    csv(151.0 kB), xlsx(238.6 kB), pdf(225.0 kB), pdf(860.1 kB)Available download formats
    Dataset updated
    Mar 17, 2022
    License

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

    Time period covered
    Jan 1, 2003 - Dec 31, 2020
    Area covered
    England
    Description

    Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. Directly standardised mortality rate from cancer for people aged under 75, per 100,000 population. To ensure that the NHS is held to account for doing all that it can to prevent deaths from cancer in people under 75. Some different patterns have been observed in the 2020 mortality data which are likely to have been impacted by the coronavirus (COVID-19) pandemic. Statistics from this period should also be interpreted with care. Legacy unique identifier: P01733

  12. e

    Impacts on Social Connections and Wellbeing of COVID-19 Policies in the...

    • b2find.eudat.eu
    Updated Feb 18, 2024
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    (2024). Impacts on Social Connections and Wellbeing of COVID-19 Policies in the Older Population, 2020-2021 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/1eb196aa-9360-5237-ade6-eba8c4af33c1
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    Dataset updated
    Feb 18, 2024
    Description

    This study aimed to explore the impacts of, and individual reaction to, government policies for self-isolation due to COVID-19 on the Cognitive Function and Ageing Study II (CFAS II) cohort, and how that impacts on perceived loneliness and social networking and engagement. The study focused on isolation polices and how they are perceived, how they have impacted mental health, wellbeing, general health, loneliness, social care usage, the support received from others (family/neighbours etc.), and how this has changed since the measures were introduced, comparing them with the rich data held on CFAS participants from earlier waves of data collection.The COVID-19 response has also relied heavily on connectedness through the internet. There is an ambition to use technology in dementia risk and for monitoring purposes. Examining the change in individual patterns of behaviour and their preferences during and in the period after the lock down will allow unique comparison in a known population sample including those usually underrepresented – rural and in areas of social deprivation, to examine how such approaches might be developed on the ground for usual older people as opposed to those who volunteer for IT type studies. This study will provide evidence on how participants' attitudes to and usage of the internet has changed, particularly related to earlier cognitive states.Changes in mobile, smartphone and social network usage can be explored by comparing the data collected during the pilot trial. This will allow the study team to explore to what extent there has been new usage as a result of the crisis and whether urgent need has enabled new learning and acceptance of an unfamiliar technology. The information collected will provide evidence that can feed into models developed for the impact of such approaches.Evidence will also be generated at a community level examining whether community approaches have contributed to supporting individuals at different levels of earlier cognitive function; to what extent different players in the support structures (from churches to local social services) have impacted individuals, with and without cognitive impairment; and how this relates to individual advantage as well as to measures of community deprivation.This grant is funded by ESRC as part of UK Research & Innovation's rapid response to COVID-19. Further information can be found on the Impacts on social connections and wellbeing of COVID-19 policies in the Older Population: CFAS cohort Over 75s (OPPO) webpage and the CFAS website. Users should note that the main CFAS study is not currently held at the UK Data Service, but data from CFAS Wales are available under SN 8281, Cognitive Function and Ageing Study - Wales: Waves 1-2, 2011-2016

  13. Reported impact of coronavirus on personal and family health in Great...

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Reported impact of coronavirus on personal and family health in Great Britain 2020 [Dataset]. https://www.statista.com/statistics/1108472/self-reported-impact-of-coronavirus-in-great-britain/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 19, 2020 - Mar 21, 2020
    Area covered
    Great Britain, United Kingdom
    Description

    As of March 2020, four percent of British respondents to a survey state they have definitely contracted the coronavirus (COVID-19), and six percent have a close family member or friend who, as far as they know, has definitely contracted the virus. Although 75 percent of respondents are sure they have not contracted coronavirus and 69 percent state no family members or friends of theirs have become infected. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  14. Number of deaths in the UK 1887-2021

    • statista.com
    • tokrwards.com
    Updated Sep 17, 2025
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    Statista (2025). Number of deaths in the UK 1887-2021 [Dataset]. https://www.statista.com/statistics/281488/number-of-deaths-in-the-united-kingdom-uk/
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    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    There were 667,479 deaths in the United Kingdom in 2021, compared with 689,629 in 2020. Between 2003 and 2011, the annual number of deaths in the UK fell from 612,085 to just over 552,232. Since 2011 however, the annual number of annual deaths in the United Kingdom has steadily grown, with the number recorded in 2020, the highest since 1918 when there were 715,246 deaths. Both of these spikes in the number of deaths can be attributed to infectious disease pandemics. The great influenza pandemic of 1918, which was at its height towards the end of World War One, and the COVID-19 pandemic, which caused numerous deaths in 2020. Impact of COVID-19 The weekly death figures for England and Wales highlight the tragic toll of the COVID-19 pandemic. In two weeks in April 2020, there were 22,351 and 21,997 deaths respectively, almost 12,000 excess deaths in each of those weeks. Although hospitals were the most common location of these deaths, a significant number of these deaths also took place in care homes, with 7,911 deaths taking place in care homes for the week ending April 24, 2020, far higher than usual. By the summer of 2020, the number of deaths in England and Wales reached more usual levels, before a second wave of excess deaths hit the country that Winter, and peaking in late January 2021. Although subsequent waves of COVID-19 cases resulted in far fewer deaths, the number of excess deaths remained elevated throughout 2022. Long-term life expectancy trends As of 2022 the life expectancy for men in the United Kingdom was 78.57, and almost 82.57 for women, compared with life expectancies of 75 for men and 80 for women in 2002. In historical terms, this is a major improvement in relation to the mid-eighteenth century, when the overall life expectancy was just under 39 years. Between 2011 and 2017, improvements in life expectancy in the UK did start to decline, and have gone into reverse since 2018/20. Between 2020 and 2022 for example, life expectancy for men in the UK has fallen by over 37 weeks, and by almost 23 weeks for women, when compared with the previous year.

  15. d

    1.1 Under 75 mortality rate from cardiovascular disease

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Mar 17, 2022
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    (2022). 1.1 Under 75 mortality rate from cardiovascular disease [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-outcomes-framework/march-2022
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    csv(148.2 kB), pdf(860.1 kB), xlsx(239.1 kB), pdf(225.4 kB)Available download formats
    Dataset updated
    Mar 17, 2022
    License

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

    Time period covered
    Jan 1, 2003 - Dec 31, 2020
    Area covered
    England
    Description

    Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. Directly standardised mortality rate from cardiovascular disease for people aged under 75, per 100,000 population. To ensure that the NHS is held to account for doing all that it can to prevent deaths from cardiovascular disease in people under 75. Some different patterns have been observed in the 2020 mortality data which are likely to have been impacted by the coronavirus (COVID-19) pandemic. Statistics from this period should also be interpreted with care. Legacy unique identifier: P01730

  16. Ad hoc statistical analysis: 2020/21 Quarter 3

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 11, 2020
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    Department for Digital, Culture, Media & Sport (2020). Ad hoc statistical analysis: 2020/21 Quarter 3 [Dataset]. https://www.gov.uk/government/statistical-data-sets/ad-hoc-statistical-analysis-202021-quarter-3--2
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    Dataset updated
    Dec 11, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    This page lists ad-hoc statistics released during the period October - December 2020. These are additional analyses not included in any of the Department for Digital, Culture, Media and Sport’s standard publications.

    If you would like any further information please contact evidence@dcms.gov.uk.

    November 2020 - DCMS Business Impacts of Coronavirus Survey, round 2: business resilience in the arts and music subsectors

    This analysis covers business resilience by business size, and business trading status by business size, for the performing arts and music industries, based on the DCMS Coronavirus Business Survey results (Round 2). This was a voluntary business survey, which captured organisations’ responses on how their turnover, costs, workforce and resilience were affected by the coronavirus (COVID-19) outbreak. The results presented are based on 3,870 completed responses collected between 17 August and 8 September 2020.

    As one purpose of the survey was to highlight the characteristics of organisations in DCMS sectors whose viability was under threat in order to shape further government support, timeliness was 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 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. - Due to time constraints, we are yet to undertake any statistical significance testing or provided confidence intervals”

    https://assets.publishing.service.gov.uk/media/5fa2c455e90e070416fca646/201104_DCMS_BICS_Round_2_Data_Tables.csv">DCMS BICS round 2, resilience of businesses in the performing arts and music subsectors

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Comma-separated Values" class="gem-c-attachment_abbr">CSV</abbr></span>, <span class="gem-c-attachment_attribute">7.07 KB</span></p>
    
     <p class="gem-c-attachment_metadata"><a class="govuk-link" aria-label="View DCMS BICS round 2, resilience of businesses in the performing arts and music subsectors online" href="/csv-preview/5fa2c455e90e070416fca646/201104_DCMS_BICS_Round_2_Data_Tables.csv">View online</a></p>
    

    December 2020 - DCMS Business Impacts of Coronavirus Survey, round 2: Media and Creative Industries subsectors

    This analysis covers responses from the DCMS Coronavirus Business Survey results (Round 2) for Media and Creative Industries subsectors of Film, TV, Advertising and Marketing, Music Production, Music Exhibition (e.g. Venues, Arenas), Crafts, Music Festivals & Events, and Publishing (e.g. Newspapers, Academic publishing, books, magazines etc.). This was a voluntary business survey, which captured organisations’ responses on how their turnover, costs, workforce and resilience were affected by the coronavirus (COVID-19) outbreak. The results presented are based on 3,870 completed responses collected between 17 August and 8 September 2020.

    As one purpose of the survey was to highlight the characteristics of organisations in DCMS sectors whose viability was under threat in order to shape furth

  17. Impact of COVID-19 on hospitality footfall in the UK 2020, by venue

    • statista.com
    Updated Sep 7, 2023
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    Statista (2023). Impact of COVID-19 on hospitality footfall in the UK 2020, by venue [Dataset]. https://www.statista.com/statistics/1110296/coronavirus-hospitality-footfall-change-by-venue-united-kingdom-uk/
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    Dataset updated
    Sep 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 21, 2020
    Area covered
    United Kingdom
    Description

    Due to the coronavirus (COVID-19) outbreak in the United Kingdom, bars, pubs and restaurants were forced to close to visitors on March 20, 2020. Footfall in the hospitality sector showed a staggering decline compared to last year; Nightclubs had already seen 75 percent fewer visitors in the last seven days and restaurarnts 74 percent fewer. Footfall in restaurants fell by 94 percent on the day of the closure.

  18. COVID-19 vaccination rate in England as of July 2022, by gender and age

    • statista.com
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    Statista, COVID-19 vaccination rate in England as of July 2022, by gender and age [Dataset]. https://www.statista.com/statistics/1283986/covid-19-vaccinations-in-england-by-gender-and-age/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    England
    Description

    As of July 17, 2022, it was estimated that around every person aged 75 to 79 years of age in England had received at least two doses of a COVID-19 vaccine. Although the source does mention that this is likely to be an overestimation due to population figures taken from 2020. The data shows that at least a quarter of men under 30 years of age have not yet had two vaccine doses, with women more likely to be vaccinated among younger age groups.

  19. HMCTS weekly management information during coronavirus - March 2020 to May...

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 10, 2021
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    HM Courts & Tribunals Service (2021). HMCTS weekly management information during coronavirus - March 2020 to May 2021 [Dataset]. https://www.gov.uk/government/statistical-data-sets/hmcts-weekly-management-information-during-coronavirus-march-2020-to-may-2021
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    Dataset updated
    Jun 10, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Courts & Tribunals Service
    Description

    These documents provide the weekly management information used by HMCTS for understanding workload volumes and timeliness at a national level during coronavirus (COVID-19).

    https://assets.publishing.service.gov.uk/media/60c0c945e90e074391f93d3c/10_6_21_weekly_MI_tables_.xlsx">HMCTS weekly operational management information March 2020 to May 2021

    MS Excel Spreadsheet, 1000 KB

    This file may not be suitable for users of assistive technology.

    Request an accessible format.
    If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email hmctsforms@justice.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    https://assets.publishing.service.gov.uk/media/60c0c964d3bf7f4bd11a22ae/10_6_21_weekly_MI_tablesCSV..csv">HMCTS weekly operational management information March 2020 to May 2021 (accessible version)

    CSV, 22.9 KB

    View online

  20. d

    1.2 Under 75 mortality rate from respiratory disease

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Mar 17, 2022
    + more versions
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    (2022). 1.2 Under 75 mortality rate from respiratory disease [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-outcomes-framework/march-2022
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    xlsx(237.1 kB), pdf(244.0 kB), pdf(860.1 kB), csv(144.8 kB)Available download formats
    Dataset updated
    Mar 17, 2022
    License

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

    Time period covered
    Jan 1, 2003 - Dec 31, 2020
    Area covered
    England
    Description

    Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. Directly standardised mortality rate from respiratory disease for people aged under 75, per 100,000 population. To ensure that the NHS is held to account for doing all that it can to prevent deaths from respiratory disease in people under 75. Some different patterns have been observed in the 2020 mortality data which are likely to have been impacted by the coronavirus (COVID-19) pandemic. Statistics from this period should also be interpreted with care. Legacy unique identifier: P01731

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Office for National Statistics (2023). Pre-existing conditions of people who died due to coronavirus (COVID-19), England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/preexistingconditionsofpeoplewhodiedduetocovid19englandandwales
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Pre-existing conditions of people who died due to coronavirus (COVID-19), England and Wales

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2 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Jul 21, 2023
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

Pre-existing conditions of people who died due to COVID-19, broken down by country, broad age group, and place of death occurrence, usual residents of England and Wales.

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