46 datasets found
  1. Key workers reference tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 15, 2020
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    Office for National Statistics (2020). Key workers reference tables [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/keyworkersreferencetables
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    xlsxAvailable download formats
    Dataset updated
    May 15, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Numbers and characteristics of those considered as potential “key workers” in the response to coronavirus (COVID-19), UK. Labour Force Survey and Annual Population Survey.

  2. Key workers: population and characteristics, 2019

    • gov.uk
    • s3.amazonaws.com
    Updated May 15, 2020
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    Office for National Statistics (2020). Key workers: population and characteristics, 2019 [Dataset]. https://www.gov.uk/government/statistics/key-workers-population-and-characteristics-2019
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    Dataset updated
    May 15, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  3. Coronavirus and non-UK key workers

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Oct 8, 2020
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    Office for National Statistics (2020). Coronavirus and non-UK key workers [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/datasets/coronavirusandnonukkeyworkers
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 8, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Area covered
    United Kingdom
    Description

    New insights on the characteristics of non-British nationals and non-UK-born in the workforce between 2017 and 2019, including those who could be considered as key workers in the response to the coronavirus (COVID-19) pandemic.

  4. c

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

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated May 27, 2025
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    Wright, S; Gawlewicz, A; Narkowicz, K; Piekut, A; Trevena, P (2025). Polish Migrant Essential Workers in the UK during COVID-19: Qualitative Data, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856576
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset provided by
    University of Sheffield
    University of Glasgow
    Middlesex University
    Authors
    Wright, S; Gawlewicz, A; Narkowicz, K; Piekut, A; Trevena, P
    Time period covered
    Mar 24, 2021 - Aug 5, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    The study population was Polish adults engaged in essential work in the UK during the Covid-19 pandemic and key informants supporting migrant workers.Sampling for Polish essential workers was mainly based on the project online survey. Nearly 500 survey respondents left their name and/or email address, which we used to randomly recruit 20 interviewees. This resulted in a relatively balanced sample in terms of gender but not in terms of sector of employment, job type (lower- and higher-skilled) and location in the UK, which we were also prioritising. To address these imbalances, we reached out to the remaining respondents and asked them to provide additional socio-economic details via a short online questionnaire. We then selected additional 20 participants in the essential work sectors/roles and UK countries that were underrepresented in the first round. This phased approach allowed us to diversify the sample and capture the richness of experience across gender, essential work sector, job type and location in the UK. Migrant interviewees were each given a £20 gratitude voucher for their participation.Convenience sampling was used to identify individuals in organisations supporting migrant essential workers during Covid-19. Existing networks and chain referral were used to recruit representatives of support organisations, directly recruiting pre-identified individuals via email and/or phone. 10 adults were sampled from suitable key stakeholder roles, with expertise about migrant labour or supporting migrants in the UK.
    Description

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

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

    COVID-19 has exposed the UK's socio-economic dependence on a chronically insecure migrant essential workforce. While risking their lives to offset the devastating effects of the pandemic, migrant workers reportedly find themselves in precarious professional and personal circumstances (temporary zero-hours contracts, work exploitation, overcrowded accommodation, limited access to adequate health/social services including Universal Credit). This project will investigate the health, social, economic and cultural impacts of COVID-19 on the migrant essential workforce and how these might impact on their continued stay in the UK. It will focus on the largest non-British nationality in the UK, the Polish...

  5. f

    Table_1_Grace Under Pressure: Resilience, Burnout, and Wellbeing in...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
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    Rachel C. Sumner; Elaine L. Kinsella (2023). Table_1_Grace Under Pressure: Resilience, Burnout, and Wellbeing in Frontline Workers in the United Kingdom and Republic of Ireland During the SARS-CoV-2 Pandemic.docx [Dataset]. http://doi.org/10.3389/fpsyg.2020.576229.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Rachel C. Sumner; Elaine L. Kinsella
    License

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

    Area covered
    Ireland, United Kingdom
    Description

    The coronavirus pandemic has necessitated extraordinary human resilience in order to preserve and prolong life and social order. Risks to health and even life are being confronted by workers in health and social care, as well as those in roles previously never defined as “frontline,” such as individuals working in community supply chain sectors. The strategy adopted by the United Kingdom (UK) government in facing the challenges of the pandemic was markedly different from other countries. The present study set out to examine what variables were associated with resilience, burnout, and wellbeing in all sectors of frontline workers, and whether or not these differed between the UK and Republic of Ireland (RoI). Individuals were eligible if they were a frontline worker (in health and social care, community supply chain, or other emergency services) in the UK or RoI during the pandemic. Part of a larger, longitudinal study, the participants completed an online survey to assess various aspects of their daily and working lives, along with their attitudes toward their government’s handling of the crisis, and measurement of psychological variables associated with heroism (altruism, meaning in life, and resilient coping). A total of 1,305 participants (N = 869, 66.6% from the UK) provided sufficient data for analysis. UK-based workers reported lower wellbeing than the RoI-based participants. In multivariate models, both psychological and pandemic-related variables were associated with levels of resilience, burnout, and wellbeing in these workers, but which pandemic-related variables were associated with outcomes differed depending on the country. The judgment of lower timeliness in their government’s response to the pandemic appeared to be a key driver of each outcome for the UK-based frontline workers. These findings provide initial evidence that the different strategies adopted by each country may be associated with the overall wellbeing of frontline workers, with higher detriment observed in the UK. The judgment of the relatively slow response of the UK government to instigate their pandemic measures appears to be associated with lower resilience, higher burnout, and lower wellbeing in frontline workers in the UK.

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

    • gov.uk
    Updated Jun 23, 2020
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    Department for Education (2020). Attendance in education and early years settings during the coronavirus outbreak: 23 March to 11 June 2020 [Dataset]. https://www.gov.uk/government/publications/coronavirus-covid-19-attendance-in-education-and-early-years-settings
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    Dataset updated
    Jun 23, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    We are publishing these as official statistics from 23 June on Explore Education Statistics.

    All education settings were closed except for vulnerable children and the children of key workers due to the coronavirus (COVID-19) outbreak from Friday 20 March 2020.

    From 1 June, the government asked schools to welcome back children in nursery, reception and years 1 and 6, alongside children of critical workers and vulnerable children. From 15 June, secondary schools, sixth form and further education colleges were asked to begin providing face-to-face support to students in year 10 and 12 to supplement their learning from home, alongside full time provision for students from priority groups.

    The spreadsheet shows the numbers of teachers and children of critical workers in education since Monday 23 March and in early years settings since Thursday 16 April.

    The summaries explain the responses for set time frames since 23 March 2020.

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

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

    • gov.uk
    Updated Sep 1, 2020
    + more versions
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    Department for Education (2020). Attendance in education and early years settings during the coronavirus (COVID-19) outbreak: 23 March to 27 August 2020 [Dataset]. https://www.gov.uk/government/statistics/attendance-in-education-and-early-years-settings-during-the-coronavirus-covid-19-outbreak-23-march-to-27-august-2020
    Explore at:
    Dataset updated
    Sep 1, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    All education settings were closed except for vulnerable children and the children of key workers due to the coronavirus (COVID-19) outbreak from Friday 20 March 2020.

    From 1 June, the government asked schools to welcome back children in nursery, reception and years 1 and 6, alongside children of critical workers and vulnerable children. From 15 June, secondary schools, sixth form and further education colleges were asked to begin providing face-to-face support to students in year 10 and 12 to supplement their learning from home, alongside full time provision for students from priority groups.

    The data on Explore education statistics shows attendance in education settings since Monday 23 March, and in early years settings since Thursday 27 April. The summary explains the responses for a set time frame.

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

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

  8. n

    Replication Do-File for: The Missed Opportunity for Men? Partnered and...

    • narcis.nl
    • data.mendeley.com
    Updated Apr 26, 2021
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    sonmez, I (via Mendeley Data) (2021). Replication Do-File for: The Missed Opportunity for Men? Partnered and Employed Individuals’ Involvement with Housework during the COVID-19 Lockdown in the UK [Dataset]. http://doi.org/10.17632/chkbgtc9h5.1
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    Dataset updated
    Apr 26, 2021
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    sonmez, I (via Mendeley Data)
    Description

    Given the outbreak of the coronavirus, SARS-CoV-2 (COVID-19), pandemic during March 2020, lockdown measures taken by governments have forced many families, especially those who have children, to re-arrange domestic and market work division. In this study, I investigate the factors associated with partnered and employed individuals’ involvement with housework during the COVID-19 lockdown in the United Kingdom. Drawing evidence from the first wave of the Covid-19 Survey from the Five National Longitudinal Studies dataset with using OLS regressions, this study found that daily working hours, socioeconomic status, and partner’s key worker status are important indicators of daily time spent on housework. Furthermore, interaction analysis showed that women living with a key worker partner not only did more housework than women whose partner was working in a regular job, but they also did more housework than men living with a key worker partner during the lockdown. Policy implications of regulating maximum daily working hours and key worker status are discussed in the context of re-arranging paid and unpaid work between couples during the first lockdown in the United Kingdom.

    Citation: Sönmez, I ̇brahim. 2021. A Missed Opportunity for Men? Partnered and Employed Individuals’ Involvement with Housework during the COVID-19 Lockdown in the UK. SocialSciences10: 135. https:// doi.org/10.3390/socsci10040135

  9. Covid-19 UK Non-hospital Antigen Testing Results

    • healthdatagateway.org
    • find.data.gov.scot
    • +1more
    unknown
    Updated May 29, 2022
    + more versions
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    NHS ENGLAND (2022). Covid-19 UK Non-hospital Antigen Testing Results [Dataset]. https://healthdatagateway.org/dataset/864
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    unknownAvailable download formats
    Dataset updated
    May 29, 2022
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS ENGLAND
    License

    https://digital.nhs.uk/services/data-access-request-service-darshttps://digital.nhs.uk/services/data-access-request-service-dars

    Description

    COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2) data is required by NHS Digital to support COVID-19 requests for linkage, analysis and dissemination to other organisations. These requests are often urgent and in support of direct care and service monitoring, planning and research. These are all functions that NHS Digital have been asked to deliver as a national resource in response to COVID-19, through the recent direction from the SoS.

    Antigen test results relate to subjects who have had swab testing in the community at drive through test centres, walk in centres, home kits returned by posts, care homes, prisons etc.

    The dataset is composed of:

    • Patient identity and contact details

    • Testing centre and laboratory details

    • Test results • Test kit types (manufacturer)

    The data cover the UK and is collected under SoS Covid Direction under s254 of the HSCA 2012 and s255 requests from devolved administrations for Scotland, Northern Ireland and Wales. This is an expansion of the original scope which only included data for welsh patients tested in other parts of the UK.

    Data is currently available for dissemination through the NHS Digital DARS service for England. If your extract is to include data from the devolved administrations their approval will also be required.

    Timescales for dissemination can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process

  10. c

    Schools’ Responses to Covid-19: Key Findings from the Waves 1 and 2 Surveys,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    National Foundation for Educational Research (2024). Schools’ Responses to Covid-19: Key Findings from the Waves 1 and 2 Surveys, 2020 [Dataset]. http://doi.org/10.5255/UKDA-SN-8687-2
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    Dataset updated
    Nov 29, 2024
    Authors
    National Foundation for Educational Research
    Time period covered
    May 7, 2020 - Jul 15, 2020
    Area covered
    England
    Variables measured
    Individuals, National
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    In response to the Covid-19 pandemic, schools in England closed their buildings to all but vulnerable pupils and the children of key workers on 20 March 2020, representing an unprecedented disruption to the education of children and young people. This project explores schools' responses to the Covid-19 emergency and the impact this is having on pupils and teachers. Data will be collected via two school surveys, each administered to the National Foundation for Educational Research (NFER) Teacher Voice panel, and all remaining publicly-funded mainstream primary and secondary schools in England. The survey is offered for completion by a senior leader and a number of teachers within each school. The first survey (Wave 1) was administered in schools between 7 and 17 May 2020. The second (Wave 2), focused on the challenges schools would face from September, and was administered between 8 and 15 July.

    Further information and research findings may be found on the NFER Schools' responses to Covid-19 webpage.

    Latest edition information
    For the second edition (December 2020), data and documentation for Wave 2 were added to the study.


    Main Topics:

    Senior Leaders' survey:

    Wave 1:

    • Mechanisms for supporting remote learning
    • Curriculum, teaching and learning and assessment via remote learning
    • In-school provision for vulnerable children and the children of keyworkers
    • Remote support for vulnerable pupils who are not attending school
    • Job satisfaction
    • Preparing schools for opening more fully
    • Personal characteristics

    Wave 2:

    • The school’s provision during the Covid-19 crisis
    • 'Catch-up' arrangements
    • Preparing for the new school year
    • Staffing in the school
    • Personal characteristics

    Teachers' survey:

    Wave 1:

    • Mechanisms for supporting remote learning
    • Curriculum, teaching and learning
    • Provision for vulnerable children and the children of keyworkers
    • Job satisfaction
    • Personal characteristics

    Wave 2:

    • Questions about teaching and learning during the Covid-19 crisis
    • Identifying pupils' needs and deciding where support is most needed
    • Personal characteristics
  11. c

    Perspectives of the COVID-19 Pandemic and Societal Responses, 2021-2022

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated May 28, 2025
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    Rendall, J; McHugh, N; Biosca, O (2025). Perspectives of the COVID-19 Pandemic and Societal Responses, 2021-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-855895
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    Dataset updated
    May 28, 2025
    Dataset provided by
    Glasgow Caledonian University
    Authors
    Rendall, J; McHugh, N; Biosca, O
    Time period covered
    Jan 4, 2021 - Jan 3, 2022
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    This is a Q methodology study. Purposively sampled participants (n=54) rank ordered 60 statements onto a quasi-normal shaped grid according to their point of view. A socio-demographic questionnaire survey was also conducted (n=54). Semi-structured post-sort interviews with participants (n=53) revealed additional qualitative information on their COVID-19 perspectives. Data were collected during the pandemic using a mix of telephone, postal, online and face-to-face.
    Description

    Datasets and interview transcripts from a Q-methodology study with 54 individuals with a range of different experiences of, and expertise in relation to, the COVID-19 pandemic. Participants included, for example, seldom-heard and low-income individuals, health practitioners, health and social policy academics and relevant policy makers, key workers, furloughed staff, and individuals directed to shield by the NHS. Participants from England and Scotland rank ordered 60 statements onto a quasi-normal shaped grid according to their point of view in 2021. The dataset includes data from the Q sorts (n=54), socio-demographic survey (n=54) and post-sort qualitative interviews (n=53).

    Amongst those hit hardest by COVID-19, and the associated social and economic measures put in place to combat it, will be people in low-income settings, and, within that group, those in hard-to-reach groups continually threatened by financial exclusion. People in such situations already live in precarious financial situations which could be amongst the most vulnerable to measures such as social distancing and self-isolation. A Q study was conducted, with a focus on perceptions of COVID-19 and the societal responses to which study participants have been subjected. Q methodology is an established approach to study subjective opinion and beliefs. The views of seldom-heard individuals were complemented and compared with those of a wide range of other participants, for example, health practitioners, health and social policy academics and relevant policy makers, key workers, furloughed staff, and individuals directed to shield by the NHS. We purposively selected 54 individuals with a range of different experiences of, and expertise in relation to, the COVID-19 pandemic. Participants rank ordered 60 statements onto a quasi-normal shaped grid according to their point of view. These data will be useful in enhancing the acceptability of, adherence to and effective delivery of evidence-based strategies for future prevention and containment.

  12. f

    Table_1_Marital Status and Gender Differences as Key Determinants of...

    • frontiersin.figshare.com
    docx
    Updated Jun 2, 2023
    + more versions
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    Junjie Peng; Wing Han Wu; Georgia Doolan; Naila Choudhury; Puja Mehta; Ayesha Khatun; Laura Hennelly; Julian Henty; Elizabeth C. Jury; Lih-Mei Liao; Coziana Ciurtin (2023). Table_1_Marital Status and Gender Differences as Key Determinants of COVID-19 Impact on Wellbeing, Job Satisfaction and Resilience in Health Care Workers and Staff Working in Academia in the UK During the First Wave of the Pandemic.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2022.928107.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Junjie Peng; Wing Han Wu; Georgia Doolan; Naila Choudhury; Puja Mehta; Ayesha Khatun; Laura Hennelly; Julian Henty; Elizabeth C. Jury; Lih-Mei Liao; Coziana Ciurtin
    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

    BackgroundThe COVID-19 pandemic is an unprecedented global public health crisis that continues to exert immense pressure on healthcare and related professional staff and services. The impact on staff wellbeing is likely to be influenced by a combination of modifiable and non-modifiable factors.ObjectivesThe aim of this study is to evaluate the effect of the COVID-19 pandemic on the self-reported wellbeing, resilience, and job satisfaction of National Health Service (NHS) and university staff working in the field of healthcare and medical research.MethodsWe conducted a cross sectional survey of NHS and UK university staff throughout the COVID-19 pandemic between May-November 2020. The anonymous and voluntary survey was disseminated through social media platforms, and via e-mail to members of professional and medical bodies. The data was analyzed using descriptive and regression (R) statistics.ResultsThe enjoyment of work and satisfaction outside of work was significantly negatively impacted by the COVID-19 pandemic for all of staff groups independent of other variables. Furthermore, married women reporting significantly lower wellbeing than married men (P = 0.028). Additionally, the wellbeing of single females was significantly lower than both married women and men (P = 0.017 and P < 0.0001, respectively). Gender differences were also found in satisfaction outside of work, with women reporting higher satisfaction than men before the COVID-19 pandemic (P = 0.0002).ConclusionOur study confirms that the enjoyment of work and general satisfaction of staff members has been significantly affected by the first wave of the COVID-19 pandemic. Interestingly, being married appears to be a protective factor for wellbeing and resilience but the effect may be reversed for life satisfaction outside work. Our survey highlights the critical need for further research to examine gender differences using a wider range of methods.

  13. Key selling point in attracting new employees to innovative industry in the...

    • statista.com
    Updated Jan 31, 2015
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    Statista (2015). Key selling point in attracting new employees to innovative industry in the UK 2015 [Dataset]. https://www.statista.com/statistics/498322/attracting-new-employees-to-the-innovative-industry-uk-survey/
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    Dataset updated
    Jan 31, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2014 - Jan 2015
    Area covered
    United Kingdom
    Description

    This statistic shows what businesses in the innovative industry consider to be the key selling point in attracting new employees in the industry in the United Kingdom (UK), according to a survey conducted in 2015. Of the executives surveyed, 32 percent said they think that brand, culture, mission and reputation are the key selling points.

  14. Data from: EU Migrant Workers Living in the East of England Pre and Post...

    • beta.ukdataservice.ac.uk
    Updated 2024
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    UK Data Service (2024). EU Migrant Workers Living in the East of England Pre and Post Brexit, 2015-2022 [Dataset]. http://doi.org/10.5255/ukda-sn-857196
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    East of England, European Union
    Description

    The UK's decision to leave the EU has necessitated a wholesale rethink of UK immigration policy with the ending of free movement of workers. The motivations for this work then were to examine the immigration/worker protection boundary from a number of perspectives, with particular emphasis on the legal dimension. While understanding the developing EU and domestic (macro) perspective our aims at a micro level were to understand the legal problems EU citizens in low paid work in the UK were facing and how they resolve those problems. These legal problems were at times exacerbated by Brexit, particularly with the advent of the new digital EUSS (EU Settlement Scheme)- our research followed this in real time and recorded issues. One of our key findings and covered by the book published as a result of the dataset here is that of Pragmatic Law and the role of everyday community advice in the wider legal advice eco-system. This is an element of legal advice which to date had been little researched. Another key outcome was the contribution to literature on both EU free movement and citizenship studies, particularly in the context of vulnerable EU citizens.

  15. Hospital employees in the United Kingdom (UK) 2010-2021

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). Hospital employees in the United Kingdom (UK) 2010-2021 [Dataset]. https://www.statista.com/statistics/473199/hospital-employment-in-the-united-kingdom-uk/
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of hospital employees in the health sector in the United Kingdom increased by 84,452.6 employees (+5.36 percent) in 2021 in comparison to the previous year. Therefore, the number of hospital employees in the United Kingdom reached a peak in 2021 with 1,660,883.41 employees. Total hospital employment includes the headcount of all people employed in a hospital structure and the number of full-time equivalents (FTE). These broad employment figures encompass general or specialty hospitals and self-employment or service contracts.Find more key insights for the number of hospital employees in the health sector in countries like Denmark, Spain, and Greece.

  16. c

    Care Leavers, COVID-19 and Transitions from Care, 2020-2022

    • datacatalogue.cessda.eu
    Updated May 27, 2025
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    Munro, E (2025). Care Leavers, COVID-19 and Transitions from Care, 2020-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-855907
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    Dataset updated
    May 27, 2025
    Dataset provided by
    University of Bedfordshire
    Authors
    Munro, E
    Time period covered
    Nov 16, 2020 - May 14, 2022
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization, Event/process, Group
    Measurement technique
    Understanding the impact of Covid-19 on young people’s transitions from care and how children’s services are respondingSeventeen local authorities from across England were recruited to take part in the CCTC study. A purposive sampling frame was adopted to facilitate inclusion of a spread of authorities by 1) type (London Boroughs, metropolitan districts, unitary authorities, county councils and district councils) and 2) geographical location. The research team also sought to include authorities with different models of health and social care delivery to support young people making the transitions from care to adulthood. The 17 local authorities that participated in the first phase of the research were:Bedford Borough, Blackburn with Darwen, Brighton and Hove, Bury, Central Bedfordshire, Durham, Hertfordshire, London Borough of Islington, Leeds, Nottinghamshire, Salford, Slough Children First, London Borough of Southwark, Suffolk, Surrey, Telford and Wrekin, and the London Borough of Waltham Forest. Twenty-two telephone interviews and one virtual focus group were conducted with leaving care managers between March 2021 and June 2021 to obtain their perspectives on the impact of Covid-19 on care leavers’ transition pathways and explore what measures have been put in place to protect and promote the welfare of care leavers during the Covid-19 pandemic, including what has worked well and what could be better (see Munro et al, 2021). A total of 33 individuals participated. In four areas more than one representative per local authority took part. The interviews facilitated exploration of similarities and differences in practice between local authorities, as well as enabling us to gather insights from individuals with specialist roles or responsibilities. Understanding care leavers’ transition pathwaysEach of the 17 Local Authorities who took part in the first phase of the study were also asked to provide pseudonymised quantitative management information system data (SSDA903 and OC3 data, plus small amount of supplementary information) on their care leavers aged 16 and 17 who left an Ofsted regulated care placement (e.g. foster or residential care) and moved to an unregulated placement, and those who turned 18 between 1 April 2020 and 31 March 2021. Ten local authorities supplied these data which yielded a sample of 1338 young people.The management information systems data included gender, ethnicity, primary need code (i.e. reason for entry to care), age at first entry, age at last entry to care, placements and episodes of care and (where applicable) and leaving care outcomes data (in touch, education and accommodation status). Transitions pathway data In addition to providing routinely collected data, each of the ten local authorities were asked to provide supplementary data on the initial transition pathway that each young person followed when they left care (n=1338); as well their transition pathway status six months later (n=680; data supplied by six local authorities). Local authorities were provided with the definitions of each transition pathway to facilitate this task and they were all invited to systematically allocate young people based on their transition pathways. Six local authorities completed this exercise. Four local authorities were unable to do so due to resource constraints. In these four local authorities the initial transition pathway was extrapolated based on the SSDA903 and OC3 data. Experiences of different transitions pathways, services, support and outcomes in the context of Covid-19Six geographically diverse local authorities, from the 17 above, participated in-depth more qualitative data collection. Interviews were conducted with 32 young people who moved into unregulated placements at age 16-17, or ceased to be looked after between the dates specified above. Subject to young people’s consent, interviews were also undertaken with young people’s leaving care Personal Advisers. Ten Personal Advisers participated and these professionals worked with 14 young people who were interviewed. Seven interviews were also undertaken with strategic leads from health. Further details on the purpose of these interviews and the analytical approach employed are provided below. In-depth interviews with young people Young people in each of the local authorities who negotiated the transition from regulated to unregulated settings aged 16-17, or who ceased to be looked after during the pandemic, were invited to participate in a research interview. The research team shared an accessible information sheet and short film about the study, which was distributed to young people via their leaving care Personal Adviser or Social Worker. Semi-structured interviews were conducted with 32 young people (M=19, F=12, other=1). Interviews were conducted online (using MS Teams or Zoom) or face to face between October 2021 and March 2022. Participants were given the choice of either option, provided that this was in line with government guidelines at the time of the interview. The interviews explored young people’s journeys from care to early adulthood, including exploration of continuity and change in a number of life domains including education, employment, finance, health, housing and social networks. The interviews particularly focused on young people’s perspectives on the impact that the COVID-19 pandemic has had on their transition and progress, as well as their views on access to, and the strengths and limitations of, formal and informal services and support. Interviews with Personal Advisers Leaving care Personal Advisers or Social Workers were invited to participate in a research interview, shortly after each young person was interviewed. These interviews (n=10) took place on MS Teams or by telephone and explored: operational issues surrounding the delivery of services and support for care leavers in the context of COVID-19; the needs and experiences of the young people who participated in the CCTC study. The case specific part of the interview focused upon professionals’ perspective on young people’s transitions and how their journeys and outcomes had been affected by Covid-19 and the role that birth family, former foster or residential carers and other services and support had played. Interviews with health and social care professionals Semi-structured interviews were conducted with Health and Social Care professionals (n=7) via MS Teams. These explored health trajectories for young people leaving care, access to and engagement with mainstream and specialist health services and the strengths and limitations of these arrangements in more detail. Interviews with strategic leads aimed to enhance understanding of how different transitional arrangements and models of health and social care delivery support or inhibit improved health and wellbeing.
    Description

    The Care Leavers, COVID-19 and Transitions from Care (CCTC) study was funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 (ES/V016245/1).

    The research explored care leavers’ experiences of the pandemic. Analysis of local authority management information system data on over 1300 young people from 10 local authorities and over 60 interviews with young people and professionals informed the study.

    As part of the study care experienced adults, leaving care workers and operational managers came together to form a Networked Learning Community (NLC). Over a series of sessions the NLC supported the research team to interpret the findings, develop recommendations and tools for practice.

    Care leavers typically leave their foster homes or residential placements at 16-18 years and cannot necessarily rely on receiving as much practical, emotional or family support, once they have moved, as their peers in the general population. Research shows that young people leaving care can feel isolated and abandoned at this time and that they are vulnerable to poor outcomes including poverty, homelessness, mental ill-health and unemployment. The health, social and economic impacts of Covid-19 heighten the challenges they are likely to face at a stage of life that can be difficult in the best of circumstances.

    The study will involve analysis of quantitative data on around 900 care leavers and in-depth interviews with senior and operational managers from children's services and health on around 50 care leavers and their key workers, (at two time points), to inform understanding of the impact that the Covid-19 has had on the timing of young people's transitions from care, where young people go ('transition pathways'), what services and support they receive, and how they fare. In particular we will focus on understanding the impact that the pandemic has had on the health and wellbeing of care leavers and the strengths and limitations of the mainstream and specialist health services they receive. We will then work together with care leavers and professionals to develop recommendations for policy makers and tools to support best practice.

  17. Data from: The Gig Rights Project Survey, 2022

    • beta.ukdataservice.ac.uk
    Updated 2025
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    Alex Wood (2025). The Gig Rights Project Survey, 2022 [Dataset]. http://doi.org/10.5255/ukda-sn-857891
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    Dataset updated
    2025
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Alex Wood
    Description

    The Gig Rights Project survey was undertaken to gain a deeper understanding UK platform worker support for labour rights, policy interventions and collective representation. Therefore, the aim of the survey was to gather data on the policy and representation preferences of these workers as well as other key factors which might influence these preferences. Respondents were asked to select the three labour rights and policies that would most benefit their working life if applied to their platform work. Respondents had a choice of 13 labour rights and 13 other policies to make their selection from. These labour rights and policies were generated from reviewing publicly available policy recommendations and discussions with our external advisory partners (Advisory, Conciliation and Arbitration Service (Acas), Charted Institute for Personnel and Development (CIPD), International Labour Organization (ILO), Royal Society for the Encouragement of Arts, Manufactures and Commerce (RSA) and Trade Union Congress (TUC). We additionally adopted questions from the Understanding Society, COLLEEM, iLabour, Skills and Employment, British Social Attitudes surveys in order to collect data on respondents’ platform work, working conditions, representation preferences, and political values.

    The survey was piloted with five current or former platform workers: two current remote platform workers, a former delivery local platform worker, a former ridehail local platform worker and a current handyperson local platform worker. Where possible, to ease comparison with existing quantitative research, we based our questions or survey items on established social surveys. Improvements were made to the wording of the questions based on the feedback provided during the piloting. The research received ethical approval from the Bristol University School of Management Research Ethics Committee.

    The survey was administered to a strategically targeted ‘river’ sample which included good representation across conceptually important categories, such as remote or local platform work, migrant or UK-born, male or female, younger or older and more or less educated. By doing so, it is possible to highlight where preferences for rights and policies seem unlikely to be influenced by such characteristics due to the absence of substantial differences between groups. Conversely, this approach allows to identify outcomes that are more likely to be sensitive to the actual makeup of the platform worker population. To generate our targeted sample, we advertised our survey directly to UK-based workers active on Facebook and Instagram using the advertising portal. (Facebook Ads Center) which allows the placement of advertisements on both social media platforms. The advantage of this approach is that Facebook and Instagram use is so widespread that self-selection into the sampling frame is not a concern. Recent estimates indicate that approximately 71 per cent of adults in the UK are active on Facebook and are not especially stratified by demographic characteristics.

    Using the platform advertising features, we directly targeted our survey at users who, for example, listed their interests as ‘Ubereats’, ‘delivery (commerce)’, ‘Uber (company)’, ‘Drive with Uber’, ‘Taxi Driver’, ‘Hybrid electric vehicle’, ‘TaskRabbit’, ‘Care.com’ or ‘Airtasker’; their employer as ‘Deliveroo’, or their job title as ‘delivery’ ‘Taxi Cab Driver’ or ‘Car Driver’. Users matching these interests, employer or job titles, were targeted with bespoke adverts designed for delivery, drivers and domestic platform workers on Facebook/Instagram. We recruited 257 local platform workers in this manner. Those who completed the survey were offered the chance to win an iPad.

    Previous quantitative research has demonstrated the potential for using platform-based adverts to effectively sample remote platform workers. We therefore followed this proven approach and recruited 253 remote platform workers from Upwork - a leading remote work platform. To do this we listed our survey as a job on the platform and in line with quotas for task and gender derived from the International Labour Organization’s (ILO) Online Labour Index. Those who completed the survey were compensated with a £10 payment. Between March and June 2022, 510 UK gig economy workers active on Facebook, Instagram or Upwork were surveyed.

    Key findings are strong support for labour rights, trade unions and co-determination. Low pay, insecurity, risk and lack of organizational voice provides a rationale for these preferences. Moreover, platform workers’ preferences are seemingly influenced by wider inequalities, with significant differences according to gender and country of birth. Additionally, remote platform work entails significantly better pay, more flexibility, greater influence over how to do their job, greater sense of doing useful work, better health and safety, less pain, and less work-related insecurity. In contrast, local platform work entails greater organisational influence and less physical isolation.

  18. Temporary Employment Placement Agencies in the UK - Market Research Report...

    • ibisworld.com
    Updated Jul 15, 2024
    + more versions
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    IBISWorld (2024). Temporary Employment Placement Agencies in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/industry/temporary-employment-placement-agencies/200302/
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    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Revenue in the Temporary Employment Agency industry is anticipated to drop at a compound annual rate of 4% in the five years through 2024 to €236.5 billion. The COVID-19 outbreak meant key employers of temporary workers in the hospitality and tourist sector shut their doors, and companies froze hiring due to economic uncertainty - a sizeable blow to revenue in the three years through 2022. Workers on temporary contracts represented a significant chuck of employment losses in all quarters of 2020. According to Eurostat data, temporary employment declined across Europe in the four years from 2017 to 2020, dipping from 13.8% to 11.9%. Since COVID-19 has slowed, companies have resumed hiring as confidence levels have been restored and vacancy levels have soared. An increasingly tight labour market encourages employers to rely on temporary employment placement agencies to fight in an increasingly competitive market. Several countries rank highly in terms of temporary workers with a large short-term job market. In 2022, the Netherlands and Spain have more than 15% of employed people under temporary contracts, according to Eurostat. Industry revenue is expected to shrink by 1.6% in 2024. Revenue is expected to grow at an annual rate of 4.5% in the five years through 2029 to €295.4 billion. With the labour market is likely to remain tight in many countries due to skill mismatches, employers will keep turning to placement agencies for their databases to track and identify the right candidates. Companies will lean on temporary hires as the economic outlook remains unclear and inflation keeps squeezing budgets. The automation of more routine jobs will be a threat to some long-standing temporary jobs. Across Europe, countries that traditionally rely on a strong network of short-term workers are implanting policies that may disrupt or expand services. Spain has already introduced reforms that are taking effect to increase permanent positions and remove temporary contracts, while Italy is expanding its voucher scheme to encourage temporary hires.

  19. Occupation and job vulnerability groups, with pay detail

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Mar 5, 2021
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    Office for National Statistics (2021). Occupation and job vulnerability groups, with pay detail [Dataset]. https://cy.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupationandjobvulnerabilitygroupswithpaydetail
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    xlsxAvailable download formats
    Dataset updated
    Mar 5, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Pay level risk faced by different occupations, based on ability to work from home and whether or not they are a key worker, UK, 2020. Annual Survey of Hours and Earnings.

  20. Covid-19 UK Non-hospital Antigen Testing Results

    • dtechtive.com
    • find.data.gov.scot
    Updated Jun 17, 2023
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    NHS ENGLAND (2023). Covid-19 UK Non-hospital Antigen Testing Results [Dataset]. https://dtechtive.com/datasets/25800
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    Dataset updated
    Jun 17, 2023
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Area covered
    https://www.geonames.org/6269131/england.html, United Kingdom
    Description

    COVID-19 Key Worker Testing Results data is required by NHS Digital to support COVID-19 requests for linkage, analysis and dissemination to other organisations who require the data in a timely manner.

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Office for National Statistics (2020). Key workers reference tables [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/keyworkersreferencetables
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Key workers reference tables

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6 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
May 15, 2020
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

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

Description

Numbers and characteristics of those considered as potential “key workers” in the response to coronavirus (COVID-19), UK. Labour Force Survey and Annual Population Survey.

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