15 datasets found
  1. Impact of COVID-19 restrictions ease on UK consumers daily activities 2020

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Impact of COVID-19 restrictions ease on UK consumers daily activities 2020 [Dataset]. https://www.statista.com/statistics/1176088/uk-impact-of-covid-19-restrictions-ease-on-daily-activities-2020/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 8, 2020
    Area covered
    United Kingdom
    Description

    According to a survey measuring the sentiment of United Kingdom (UK) consumers undertaking daily activities amid the easing of COVID-19 restrictions, all reported feel more comfortable undertaking daily activities in ********* as compared to ********. The daily activity in which UK consumers feel most comfortable undertaking is walking in public. This daily activity also saw the greatest change in comfortableness from May to July, where in May only ** percent of UK consumer's felt comfortable walking in public and in July 73 percent felt comfortable doing so. The daily activity in which UK consumer's feel least comfortable undertaking, despite the easing of lockdown restrictions is trying on clothes in a store. Only ** percent surveyed stated they feel comfortable trying on clothes in a store in *********.

  2. Data on coronavirus (COVID-19) and the impacts on behaviours and attitudes...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 16, 2022
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    Office for National Statistics (2022). Data on coronavirus (COVID-19) and the impacts on behaviours and attitudes to normal life [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/dataoncoronaviruscovid19andtheimpactsonbehavioursandattitudestonormallife
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    xlsxAvailable download formats
    Dataset updated
    Mar 16, 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

    Opinions and Lifestyle Survey (OPN) data on public attitudes and behaviours relating to the coronavirus (COVID-19) pandemic, Great Britain: February 2022

  3. h

    Opinions and Lifestyle Survey - Great Britain

    • healthdatagateway.org
    unknown
    + more versions
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    Office for National Statistics, Opinions and Lifestyle Survey - Great Britain [Dataset]. https://healthdatagateway.org/en/dataset/409
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    unknownAvailable download formats
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherschemehttps://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme

    Area covered
    United Kingdom
    Description

    The Opinions and Lifestyle Survey (OPN) is an omnibus survey collecting data on a range of subjects commissioned by both internal Office for National Statistics (ONS) and external clients (limited to; other government departments, charities, non-profit organisations and academia). Data is collected from 1 adult selected from each sampled private household. Personal data include person, family, address, household, income, education plus responses and opinions on a variety of subjects within commissioned modules. The dataset includes a standard set of demographic variables and a single commissioned module.

    In March 2020, the OPN was adapted to become a weekly survey used to collect data on the impact of the coronavirus pandemic on day-to-day life in Great Britain. From 25 August 2021, as COVID-19 restrictions began to be lifted across Great Britain, the OPN moved to a fortnightly data collection with the sample size at around 5,000 households in each period to help ensure the survey remains sustainable.

    Prior to the changes in frequency to the OPN survey during the coronavirus pandemic, there had been on-going improvements to the OPN. In recent years, work has been undertaken to change the design of the OPN from a face-to-face survey to a mixed mode design (online first with telephone follow-up). Mixed mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers.

    The questionnaire collects timely data for research and policy analysis evaluation into the impact that the coronavirus pandemic has had on individuals and households in Great Britain.

  4. f

    Data_Sheet_1_Sleep health among people with severe mental ill health during...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 13, 2023
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    Paul N. Heron; Lisa M. Henderson; Suzanne Crosland; Simon M. Gilbody; Gordon A. Johnston; Andrew S. Moriarty; Elizabeth Newbronner; Alastair Paterson; Panagiotis Spanakis; Ruth Wadman; Lauren Walker; Emily Peckham (2023). Data_Sheet_1_Sleep health among people with severe mental ill health during the COVID-19 pandemic: Results from a linked UK population cohort study.docx [Dataset]. http://doi.org/10.3389/fpsyt.2022.975593.s001
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Paul N. Heron; Lisa M. Henderson; Suzanne Crosland; Simon M. Gilbody; Gordon A. Johnston; Andrew S. Moriarty; Elizabeth Newbronner; Alastair Paterson; Panagiotis Spanakis; Ruth Wadman; Lauren Walker; Emily Peckham
    License

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

    Description

    ObjectivesSleep problems are a transdiagnostic feature of nearly all psychiatric conditions, and a strong risk factor for initial and recurrent episodes. However, people with severe mental ill health (SMI) are often excluded from general population surveys, and as such the extent and associates of poor sleep in this population are less well understood. This study explores sleep health in an SMI sample during the COVID-19 pandemic, using multiple regression to identify risk factors, including daily routine, wellbeing and demographics.MethodsAn existing cohort of people with an SMI diagnosis were sampled. Participants were invited to complete a self-report survey about their health and the impacts of COVID-19 and associated public health measures. Sleep duration, efficiency, and quality were measured using items from the Pittsburgh Sleep Quality Index (PSQI).ResultsTwo hundred forty-nine adults (aged 21–84 years) completed the survey. Mean sleep duration and efficiency were similar to general population estimates, at 7 h 19 min and 78%, respectively. However, 43% reported “bad” sleep quality that was associated with being younger in age as well as disturbed routine and declined wellbeing. Indeed, 37% reported a disturbed routine during the pandemic.ConclusionsHigh estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends.

  5. u

    The Social Distancing and Development Study, 2020-2021

    • datacatalogue.ukdataservice.ac.uk
    Updated Mar 18, 2022
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    Gonzalez-Gomez, N, Oxford Brookes University (2022). The Social Distancing and Development Study, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855473
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    Dataset updated
    Mar 18, 2022
    Authors
    Gonzalez-Gomez, N, Oxford Brookes University
    Area covered
    United Kingdom
    Description

    The Social Distancing and Development Study (SDDS) aimed to examine how changes in sleep, parenting style, social interactions, screen use and activities affect young children’s language and cognitive development since the Spring 2020 UK lockdown.

    This longitudinal study followed a cohort of nearly 900 children aged 8 to 36 months of age, enrolled in an online study at the onset or during the Spring 2020 UK lockdown, to capture changes in their environment and measure their impact on children’s vocabulary size and executive function. Since Spring 2020, we have collected data at three additional timepoints: T2 – End of the Spring 2020 lockdown, T3 – November 2020 lockdown, and T4 – One-year follow-up.

    On 20th March 2020, the UK Government instigated a nationwide nursery and school closure in response to the COVID-19 outbreak, followed by instructions for people to stay at home. For millions of children, this brought stark changes to their routines, with a decrease in outdoor activities and interactions with others.

    The environments children grow up in heavily influence key elements of cognitive development such as language and executive functions, which in turn associate with later educational and occupational attainment as well as health and wellbeing. The COVID-19 pandemic is a unique, once-in-a-lifetime situation that has dramatically changed the daily lives of millions of families. Several environmental factors likely to be affected by quarantine measures (such as sleep, parenting style and social interactions, screen use, and outdoor activities/exercise) are known predictors of language and executive function development.

    The proposed study will follow up a UK-wide cohort of 600 children aged 8 to 36 months of age, enrolled in an online study at the onset of social distancing measures, to capture changes in key environmental variables and measure their impact on children's vocabulary size and executive function. Using sophisticated analyses on a large and diverse sample, we will examine the role of each factor on children's cognitive abilities. At this time of unforeseen and ongoing change, it is imperative to understand the impacts of the lockdown on cognition during a critical period for development (0 to 3 years of age), and then find strategies to minimise disruption to this cohort. Our findings will identify approaches that mitigate the temporary loss of formal early years' education, identify those groups most at risk of adverse consequences, and inform policy on how to remediate the negative impacts of lockdown post-COVID-19.

  6. l

    Supplementary information files for The effect of COVID rehabilitation for...

    • repository.lboro.ac.uk
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Feb 12, 2024
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    Enya Daynes; Molly Baldwin; Neil J. Greening; Thomas Yates; Nicolette Bishop; George Mills; Matthew Roberts; Malik Hamrouni; Tatiana Plekhanova; Ioannis Vogiatzis; Carlos Echevarria; Rashmita Nathu; Hamish J. C. McAuley; Lorna Latimer; Jennifer Glennie; Francesca Chambers; Ruth Penfold; Emily Hume; Dimitrios Megaritis; Charikleia Alexiou; Sebastian Potthoff; Mitchell James Hogg; Catherine Haighton; Bethany Nichol; Olivia C. Leavy; Matthew Richardson; Omer Elneima; Amisha Singapuri; Marco Sereno; Ruth M. Saunders; Victoria C. Harris; Claire M. Nolan; Charlotte Bolton; Linzy Houchen-Wolloff; Ewen M. Harrison; Nazir Lone; Jennifer Quint; James D. Chalmers; Ling-Pei Ho; Alex Horsley; Michael Marks; Krisnah Poinasamy; Betty Ramen; Louise V. Wain; Christopher Brightling; William D.-C. Man; Rachael Evans; Sally J. Singh (2024). Supplementary information files for The effect of COVID rehabilitation for ongoing symptoms post hospitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortium [Dataset]. http://doi.org/10.17028/rd.lboro.22189279.v1
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    pdfAvailable download formats
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Loughborough University
    Authors
    Enya Daynes; Molly Baldwin; Neil J. Greening; Thomas Yates; Nicolette Bishop; George Mills; Matthew Roberts; Malik Hamrouni; Tatiana Plekhanova; Ioannis Vogiatzis; Carlos Echevarria; Rashmita Nathu; Hamish J. C. McAuley; Lorna Latimer; Jennifer Glennie; Francesca Chambers; Ruth Penfold; Emily Hume; Dimitrios Megaritis; Charikleia Alexiou; Sebastian Potthoff; Mitchell James Hogg; Catherine Haighton; Bethany Nichol; Olivia C. Leavy; Matthew Richardson; Omer Elneima; Amisha Singapuri; Marco Sereno; Ruth M. Saunders; Victoria C. Harris; Claire M. Nolan; Charlotte Bolton; Linzy Houchen-Wolloff; Ewen M. Harrison; Nazir Lone; Jennifer Quint; James D. Chalmers; Ling-Pei Ho; Alex Horsley; Michael Marks; Krisnah Poinasamy; Betty Ramen; Louise V. Wain; Christopher Brightling; William D.-C. Man; Rachael Evans; Sally J. Singh
    License

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

    Description

    Supplementary files for article The effect of COVID rehabilitation for ongoing symptoms post hospitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortium

    Introduction: Many adults hospitalised with COVID-19 have persistent symptoms such as fatigue, breathlessness and brain fog that limit day-to-day activities. These symptoms can last over 2 years. Whilst there is limited controlled studies on interventions that can support those with ongoing symptoms, there has been some promise in rehabilitation interventions in improving function and symptoms either using face-to-face or digital methods, but evidence remains limited and these studies often lack a control group.

    Methods and analysis: This is a nested single-blind, parallel group, randomised control trial with embedded qualitative evaluation comparing rehabilitation (face-to-face or digital) to usual care and conducted within the PHOSP-COVID study. The aim of this study is to determine the effectiveness of rehabilitation interventions on exercise capacity, quality of life and symptoms such as breathlessness and fatigue. The primary outcome is the Incremental Shuttle Walking Test following the eight week intervention phase. Secondary outcomes include measures of function, strength and subjective assessment of symptoms. Blood inflammatory markers and muscle biopsies are an exploratory outcome. The interventions last eight weeks and combine symptom-titrated exercise therapy, symptom management and education delivered either in a face-to-face setting or through a digital platform (www.yourcovidrecovery.nhs.uk). The proposed sample size is 159 participants, and data will be intention-to-treat analyses comparing rehabilitation (face-to-face or digital) to usual care.

    Ethics and dissemination: Ethical approval was gained as part of the PHOSP-COVID study by Yorkshire and the Humber Leeds West Research NHS Ethics Committee, and the study was prospectively registered on the ISRCTN trial registry (ISRCTN13293865). Results will be disseminated to stakeholders, including patients and members of the public, and published in appropriate journals.

    Article summary Strengths and limitations of this study • This protocol utilises two interventions to support those with ongoing symptoms of COVID-19 • This is a two-centre parallel-group randomised controlled trial • The protocol has been supported by patient and public involvement groups who identified treatments of symptoms and activity limitation as a top priority

  7. ONS Opinions Survey, February 2010 / ONS Omnibus Surveys; OPN

    • harmonydata.ac.uk
    Updated Feb 15, 2010
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    Office for National Statistics, Social Survey Division (2010). ONS Opinions Survey, February 2010 / ONS Omnibus Surveys; OPN [Dataset]. http://doi.org/10.5255/UKDA-SN-6990-1
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    Dataset updated
    Feb 15, 2010
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Authors
    Office for National Statistics, Social Survey Division
    Description

    The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data from respondents in Great Britain. Information is gathered on a range of subjects, commissioned both internally by the Office for National Statistics (ONS) and by external clients (other government departments, charities, non-profit organisations and academia).One individual respondent, aged 16 or over, is selected from each sampled private household to answer questions. Data are gathered on the respondent, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. Each regular OPN survey consists of two elements. Core questions, covering demographic information, are asked together with non-core questions that vary depending on the module(s) fielded.The OPN collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living. The OPN has expanded to include questions on other topics of national importance, such as health and the cost of living.For more information about the survey and its methodology, see the gov.uk OPN Quality and Methodology Information (QMI) webpage.Changes over timeUp to March 2018, the OPN was conducted as a face-to-face survey. From April 2018 to November 2019, the OPN changed to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for module customers.In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held under Secure Access conditions in SN 8635, ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access. (See below for information on other Secure Access OPN modules.)From August 2021, as coronavirus (COVID-19) restrictions were lifted across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remained sustainable. Secure Access OPN modulesBesides SN 8635 (which includes the COVID-19 Module), other Secure Access OPN data includes sensitive modules run at various points from 1997-2019, including Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See the individual studies for further details and information on how to apply to use them.

    The non-core questions for this month were: Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed. Disability monitoring (Module 363): this module was asked on behalf of the Department for Work and Pensions (DWP) which is interested in information on disability and includes two questions that ask about awareness of the Disability Discrimination Act. The module aims to identify the scale of problems those with long-term illnesses or disabilities have accessing goods, facilities and services. This version of the data does not contain variables M363_3M, M363_6AM, M363_6bM, M363_7M, M363_26, M363_27, M363_28, and M363_29. The Special Licence version of the data is held under SN 6992. Road Pricing (Module MAE): this module was asked on behalf of the Department for Transport and asks for opinions on road pricing. Disability (Module MCA): this module was asked by the Office for National Statistics on behalf of the Centre for Health Analysis and Life Events and seeks information regarding health problems which are long-lasting in nature and cause problems with normal daily activities. Variables MCA_1b1M and MCA_2b2M have been recoded into smaller groupings. Later life (Module MCE): this module was asked by DWP on behalf of a number of other government departments which are interested in what people think of the support available to help older people to continue to live independently in later life. Health and work (Module MCP): this module was asked by DWP on behalf of the Health, Work and Well-being Delivery Unit. Questions relate to health, well-being and work. This version of the data does not contain variables MCP_14, MCP_15M, MCP_16 and MCP_17 as they are considered disclosive.

  8. Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 25, 2021
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    Department for Transport (2021). Travel time measures for the Strategic Road Network and local ‘A’ roads: January to December 2020 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-january-to-december-2020
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    Dataset updated
    Feb 25, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and Local ‘A’ Roads in England, in 2020.

    Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">Analysis on the impact of the Coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England.

    On the Strategic Road Network (SRN) for 2020, the average delay is estimated to be 6.7 seconds per vehicle per mile compared to speed limits travel times, a 29.5% decrease compared to 2019.

    The average speed is estimated to be 61.8mph, 5.1% up on 2019.

    In 2020, on average 42.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 25.2 percentage points compared to 2019, so on average a lower proportion of additional time is required.

    On local ‘A’ roads for 2020, the average delay is estimated to be 33.9 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 22.8% on 2019.

    The average speed is estimated to be 27.3 mph. This is an increase of 8.2% on 2019.

    Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. While values had previously been moving towards their pre-lockdown levels, this trend appears to have reversed in the months following September 2020.

    Contact us

    Road congestion and travel times

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

    Media enquiries 0300 7777 878

  9. ONS Opinions Survey, October 2009 / ONS Omnibus Surveys; OPN

    • harmonydata.ac.uk
    Updated Oct 15, 2009
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    Office for National Statistics, Social Survey Division (2009). ONS Opinions Survey, October 2009 / ONS Omnibus Surveys; OPN [Dataset]. http://doi.org/10.5255/UKDA-SN-6829-1
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    Dataset updated
    Oct 15, 2009
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Authors
    Office for National Statistics, Social Survey Division
    Description

    The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data from respondents in Great Britain. Information is gathered on a range of subjects, commissioned both internally by the Office for National Statistics (ONS) and by external clients (other government departments, charities, non-profit organisations and academia).One individual respondent, aged 16 or over, is selected from each sampled private household to answer questions. Data are gathered on the respondent, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. Each regular OPN survey consists of two elements. Core questions, covering demographic information, are asked together with non-core questions that vary depending on the module(s) fielded.The OPN collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living. The OPN has expanded to include questions on other topics of national importance, such as health and the cost of living.For more information about the survey and its methodology, see the gov.uk OPN Quality and Methodology Information (QMI) webpage.Changes over timeUp to March 2018, the OPN was conducted as a face-to-face survey. From April 2018 to November 2019, the OPN changed to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for module customers.In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held under Secure Access conditions in SN 8635, ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access. (See below for information on other Secure Access OPN modules.)From August 2021, as coronavirus (COVID-19) restrictions were lifted across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remained sustainable. Secure Access OPN modulesBesides SN 8635 (which includes the COVID-19 Module), other Secure Access OPN data includes sensitive modules run at various points from 1997-2019, including Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See the individual studies for further details and information on how to apply to use them.

    The non-core questions for this month were: Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed. Charitable giving (Module 338): this module was asked on behalf of the National Council for Voluntary Organisations and looks at ways people can give to charity. Morale and motivation (Module MBF): this module was asked on behalf of the Office of Manpower Economics which is interested in issues such as work-life balance, job satisfaction and work pressure. Disability (Module MCA): this module was asked on behalf of the Office for National Statistics and seeks information regarding health problems which are long-lasting in nature and cause problems with normal daily activities. Later life (Module MCE): this module was asked on behalf of the Department for Work and Pensions (DWP) on behalf of a number of other government departments which are interested in what people think of the support available to help older people to continue to live independently in later life. Later life (Module MCEb): this longer module, again asked on behalf of DWP, follows on from Module MCE and was asked on behalf of a number of government departments who want to know what people think of the support available to help older people to continue to live independently in later life.

  10. u

    Supporting Parents and Kids Through Lockdown Experiences: A Parallel...

    • datacatalogue.ukdataservice.ac.uk
    • beta.ukdataservice.ac.uk
    Updated May 24, 2023
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    Sonuga-Barke, E, King's College London; Creswell, C, Oxford University (2023). Supporting Parents and Kids Through Lockdown Experiences: A Parallel Randomised Controlled Trial of a Digital Parenting Support App Implemented in the General Population During the COVID-19 Pandemic, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856384
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    Dataset updated
    May 24, 2023
    Authors
    Sonuga-Barke, E, King's College London; Creswell, C, Oxford University
    Area covered
    United Kingdom
    Description

    During the COVID-19 lockdown, families faced numerous challenges, including extended joint confinement, isolation, increased demands on parents, and financial worries. Co-SPACE, a study tracking changes in families' mental health, found a rise in behavior problems among children, causing stress for parents. Many parents expressed a need for additional support, preferably in digital form. These problems are likely to persist and increase as the pandemic continues, affecting schools and children's services. To address this, the SPARKLE project developed the Parent Positive app, featuring animated videos and practical tips on managing children's behavior. The study involved 616 Co-SPACE parents testing the app's effect on children's behavior. Positive results would lead to wider availability of the app through collaboration with public health and education authorities. The archived data is from three timepoints of 646 families involved in the SPARKLE trial.

    The first COVID-19 lockdown and continuing restrictions on everyday life have presented families with unprecedented challenges. Extended joint confinement, often within very limited space, isolation from friends and family, increased demands on parents to deliver childcare in face of often increased work demands, mental and physical health-related and money-related worries, have placed relationships between parents and with their children under great pressure. Consistent with this, Co-SPACE, a nationwide study tracking changes in families' mental health since early lockdown, found a significant rise in parent-reported children's behaviour problems and associated family-related stress. Strikingly, 70% of parents in Co-SPACE reported wanting additional support preferably delivered in digital form.

    These problems are likely to persist if left unaddressed. There is also widespread concern amongst professionals that they may increase further as the pandemic continues, and with it the restrictions put on people's lives. Families are faced with continuous need to readjust to new routines, structures and challenges. Although children have returned to school and many parents are able to work outside home, many childcare settings are not fully open, and schools have had to make substantial adjustments to comply with the public health measures introduced to curb the spread of the virus.

    It seems likely that as the pandemic continues and with it the threat of further severe restrictions, including another lockdown, we will see growing pressures on schools and already over-stretched children's services, as more parents seek additional training, support and advice from professionals. This will further increase the already substantial gap between the need for help and the availability of that help and leave many families without access to vital support. Based on existing research of health inequalities, this is likely to disproportionately affect the most vulnerable sections of society. In SPARKLE, we will examine whether providing families, who have taken part in the Co-SPACE study, with an app delivering information and parenting support, Parent Positive, can reverse negative lockdown-related effects to improve families' wellbeing and reduce pressures on services.

    The Parent Positive app is built around a series of 45-second animations presenting eight foundational messages about managing children's behaviour, which have been carefully selected by parents and parenting experts for their relevance to the pandemic situation.They are light-hearted, humorous and non-judgemental in nature and are delivered by eight high-profile celebrities who are also parents. The eight messages relate to: (1) staying positive and motivated (Olivia Colman); (2) making sure everyone knows what is expected of them (Sharon Horgan); (3) building your child's self confidence and trust (Danny Dyer); (4) getting your child to follow instructions (Rob Brydon); (5) promoting better behaviour (Jessica Ennis-Hill); (6) limiting conflict (Holly Willoughby); (7) keeping calm when your kids act up (Romesh Ranganathan); (8) careful use of sanctions (Shappi Khorsandi). The animations will be supplemented with a video offering practical tips on how and when to use the animations, extended and more detailed accounts of each message, links to useful sources of help and downloadable resources, as well the opportunity to network to find peer support.

    To test whether Parent Positive can reverse the negative effects of lockdown, 616 Co-SPACE parents will take part in this study. Half the families will be given access to the app and half will not. We will then test whether the app has a positive effect on children's behaviour compared to not using it. If results are positive, the app will be rapidly made available to families across England through collaboration with Public Health England and the Department for Education, in cooperation with commercial media partners.

  11. w

    Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    Updated Jun 29, 2022
    + more versions
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    Department for Transport (2022). Travel time measures for the Strategic Road Network and local ‘A’ roads: April 2021 to March 2022 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-april-2021-to-march-2022
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    Dataset updated
    Jun 29, 2022
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    On the Strategic Road Network (SRN) for year ending March 2022, the average delay is estimated to be 8.8 seconds per vehicle per mile (spvpm), compared to free flow, a 31.3% increase on the previous year.

    The average speed is estimated to be 58.6 mph, down 3.5% from year ending March 2021.

    On local ‘A’ roads for year ending March 2022, the average delay is estimated to be 47.7 spvpm compared to free flow.

    The average speed is estimated to be 23.8 mph.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The Department for Transport (DfT) went through an open procurement exercise and have changed GPS data providers. This led to a step change in the statistics and inability to compare the local ‘A’ roads data historically. These changes are discussed in the methodology notes.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This story map contains charts and interactive maps for road journeys in England in 2020.

    Contact us

    Road congestion and travel times

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

    Media enquiries 0300 7777 878

  12. ONS Opinions Survey, January 2010 / ONS Omnibus Surveys; OPN

    • harmonydata.ac.uk
    Updated Jan 15, 2010
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    Office for National Statistics, Social Survey Division (2010). ONS Opinions Survey, January 2010 / ONS Omnibus Surveys; OPN [Dataset]. http://doi.org/10.5255/UKDA-SN-6989-1
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    Dataset updated
    Jan 15, 2010
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Authors
    Office for National Statistics, Social Survey Division
    Description

    The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data from respondents in Great Britain. Information is gathered on a range of subjects, commissioned both internally by the Office for National Statistics (ONS) and by external clients (other government departments, charities, non-profit organisations and academia).One individual respondent, aged 16 or over, is selected from each sampled private household to answer questions. Data are gathered on the respondent, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. Each regular OPN survey consists of two elements. Core questions, covering demographic information, are asked together with non-core questions that vary depending on the module(s) fielded.The OPN collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living. The OPN has expanded to include questions on other topics of national importance, such as health and the cost of living.For more information about the survey and its methodology, see the gov.uk OPN Quality and Methodology Information (QMI) webpage.Changes over timeUp to March 2018, the OPN was conducted as a face-to-face survey. From April 2018 to November 2019, the OPN changed to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for module customers.In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held under Secure Access conditions in SN 8635, ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access. (See below for information on other Secure Access OPN modules.)From August 2021, as coronavirus (COVID-19) restrictions were lifted across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remained sustainable. Secure Access OPN modulesBesides SN 8635 (which includes the COVID-19 Module), other Secure Access OPN data includes sensitive modules run at various points from 1997-2019, including Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See the individual studies for further details and information on how to apply to use them.

    The non-core questions for this month were: Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed. Disability monitoring (Module 363): this module was asked on behalf of the Department for Work and Pensions (DWP) which is interested in information on disability and includes two questions that ask about awareness of the Disability Discrimination Act. The module aims to identify the scale of problems those with long-term illnesses or disabilities have accessing goods, facilities and services. This version of the data does not contain variables M363_3M, M363_6AM, M363_6bM, M363_7M, M363_26, M363_27, M363_28, and M363_29. The Special Licence version of the data is held under SN 6992. Disability (Module MCA): this module was asked by the Office for National Statistics on behalf of the Centre for Health Analysis and Life Events and seeks information regarding health problems which are long-lasting in nature and cause problems with normal daily activities. Variables MCA_1b1M and MCA_2b2M have been recoded into smaller groupings. Later life (Module MCE): this module was asked by DWP on behalf of a number of other government departments which are interested in what people think of the support available to help older people to continue to live independently in later life. Health and work (Module MCP): this module was asked by DWP on behalf of the Health, Work and Well-being Delivery Unit. Questions relate to health, well-being and work. This version of the data does not contain variables MCP_14, MCP_15M, MCP_16 and MCP_17 as they are considered disclosive. Mobility scooters (Module MCS): this module was asked on behalf of the Department for Transport to find out what people think of mobility scooters. The term ‘mobility scooters’ covers a variety of personal motorised vehicles.

  13. w

    Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    Updated Dec 14, 2022
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    Department for Transport (2022). Travel time measures for the Strategic Road Network and local ‘A’ roads: October 2021 to September 2022 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-october-2021-to-september-2022
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    Dataset updated
    Dec 14, 2022
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    On the Strategic Road Network (SRN) for September 2022, the average delay is estimated to be 9.0 seconds per vehicle per mile (spvpm), compared to free flow, a 11.1% increase on the previous year.

    The average speed is estimated to be 58.4 mph, down 1.5% from September 2021.

    On local ‘A’ roads for June 2022, the average delay is estimated to be 45.1 spvpm compared to free flow.

    The average speed is estimated to be 23.8 mph.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The Department for Transport went through an open procurement exercise and have changed GPS data providers. This led to a step change in the statistics and inability to compare the local ‘A’ roads data historically. These changes are discussed in the methodology notes.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This Storymap contains charts and interactive maps for road journeys in England in 2020.

    Contact us

    Road congestion and travel times

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

    Media enquiries 0300 7777 878

  14. Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    Updated Dec 3, 2020
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    Department for Transport (2020). Travel time measures for the Strategic Road Network and local ‘A’ roads: October 2019 to September 2020 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-october-2019-to-september-2020
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    Dataset updated
    Dec 3, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    On the Strategic Road Network (SRN) for the year ending September 2020, the average delay is estimated to be 7.8 seconds per vehicle per mile compared to speed limits travel times, a 17.0% decrease compared to the year up to September 2019.

    The average speed is estimated to be 60.6 mph, 2.9% up on the year ending September 2019.

    In the year to September 2020, on average 52.5% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 14.3 percentage points compared to the year ending September 2019, so on average a lower proportion of additional time is required.

    On local ‘A’ roads for the year ending September 2020, the average delay is estimated to be 36.6 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 16.1% on the year ending September 2019.

    The average speed is estimated to be 26.6 mph. This is an increase of 5.1% on the year ending September 2019.

    Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Although values for the speed and delay statistics are gradually returning towards their pre-lockdown values, they remain markedly different than historical trends.

    Contact us

    Road congestion and travel times

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

    Media enquiries 0300 7777 878

  15. Hours watched on YouTube Gaming Live worldwide Q3 2022

    • statista.com
    Updated Mar 24, 2025
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    Jessica Clement (2025). Hours watched on YouTube Gaming Live worldwide Q3 2022 [Dataset]. https://www.statista.com/topics/8016/covid-19-impact-on-the-gaming-industry-worldwide/
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    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    In the third quarter of 2022, YouTube Gaming Live generated a cumulative 1.17 billion hours of content watched, representing a four percent decrease from the corresponding quarter of the previous year. In January 2021, notable streamer Valkyrae (real name: Rachel Hofstetter) left Twitch for an exclusive streaming contract on YouTube and in May 2022, she re-signed with YouTube, signaling a vote of confidence in the platform. Despite YouTube Gaming's efforts to retain talent, the platform experienced its lowest number of hours watched since the beginning of 2020.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Impact of COVID-19 restrictions ease on UK consumers daily activities 2020 [Dataset]. https://www.statista.com/statistics/1176088/uk-impact-of-covid-19-restrictions-ease-on-daily-activities-2020/
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Impact of COVID-19 restrictions ease on UK consumers daily activities 2020

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Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 8, 2020
Area covered
United Kingdom
Description

According to a survey measuring the sentiment of United Kingdom (UK) consumers undertaking daily activities amid the easing of COVID-19 restrictions, all reported feel more comfortable undertaking daily activities in ********* as compared to ********. The daily activity in which UK consumers feel most comfortable undertaking is walking in public. This daily activity also saw the greatest change in comfortableness from May to July, where in May only ** percent of UK consumer's felt comfortable walking in public and in July 73 percent felt comfortable doing so. The daily activity in which UK consumer's feel least comfortable undertaking, despite the easing of lockdown restrictions is trying on clothes in a store. Only ** percent surveyed stated they feel comfortable trying on clothes in a store in *********.

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