As of October 31, 2021, COVID-19 was involved in the deaths of 1,448 people in Northern Ireland between 80 and 89 years of age. In that age group, there were 771 male deaths and 677 female deaths. A further 886 deaths involving COVID-19 were recorded among 70 to 79 year olds. In England, the age group 80 to 89 years also had the highest number of deaths involving COVID-19, the case was also the same in Scotland. For further information about the COVID-19 pandemic, please visit our dedicated Facts and Figures page.

COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmathsThis work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

In past 24 hours, Ireland, Europe had N/A new cases, N/A deaths and N/A recoveries.

Findings from the Coronavirus (COVID-19) Infection Survey for Northern Ireland.

The Coronavirus (COVID-19) Press Briefings Corpus is a work in progress to collect and present in a machine readable text dataset of the daily briefings from around the world by government authorities. During the peak of the pandemic, most countries around the world informed their citizens of the status of the pandemic (usually involving an update on the number of infection cases, number of deaths) and other policy-oriented decisions about dealing with the health crisis, such as advice about what to do to reduce the spread of the epidemic.Usually daily briefings did not occur on a Sunday.At the moment the dataset includes:

UK/England: Daily Press Briefings by UK Government between 12 March 2020 - 01 June 2020 (70 briefings in total)Scotland: Daily Press Briefings by Scottish Government between 3 March 2020 - 01 June 2020 (76 briefings in total)Wales: Daily Press Briefings by Welsh Government between 23 March 2020 - 01 June 2020 (56 briefings in total)Northern Ireland: Daily Press Briefings by N. Ireland Assembly between 23 March 2020 - 01 June 2020 (56 briefings in total)World Health Organisation: Press Briefings occuring usually every 2 days between 22 January 2020 - 01 June 2020 (63 briefings in total)

More countries will be added in due course, and we will be keeping this updated to cover the latest daily briefings available.The corpus is compiled to allow for further automated political discourse analysis (classification).

As of January 12, 2023, COVID-19 has been responsible for 202,157 deaths in the UK overall. The North West of England has been the most affected area in terms of deaths at 28,116, followed by the South East of England with 26,221 coronavirus deaths. Furthermore, there have been 22,264 mortalities in London as a result of COVID-19.

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

This research project mapped and monitored responses to household food insecurity during the COVID-19 pandemic.

During the COVID-19 pandemic, governments, local authorities, charities and local communities worked to ensure access to food for those facing new risks of food insecurity due to being unable to go out for food or due to income losses arising from the crisis. New schemes were developed, such as governments replacing incomes of people at risk of unemployment on account of lockdowns, providing food parcels for people asked to shield, referrals for people to receive voluntary help with grocery shopping, and free school meals replacement vouchers or cash transfers. These worked alongside existing provision for those unable to afford food – such as food banks – which have been adapting their services to continue to meet increasing demand from a range of population groups. This resulted in a complex set of support structures which developed and changed as the COVID-19 pandemic, and its impacts, evolved.

About the project

The project was funded by the Economic and Social Research Council (ESRC) through the UKRI Ideas to Address COVID-19 grant call and ran for two years from July 2020. The research aimed to provide collaborative monitoring and analysis of food support systems to inform food access policy and practice. The research team was led by the University of Sheffield and King’s College London alongside colleagues from Sustain: the alliance for better food and farming and Church Action on Poverty. Full details of the team are below. Collaboration with partners and stakeholders was at the heart of the project. The research team worked with stakeholders from national and local government, the civil service, third sector, NGOs as well as people who were accessing food and financial assistance during the pandemic.

The End of project summary of key findings were published in August 2022. Details of the workpackages and research reports can be found below.

Project work packages

Work package 1: National level food access systems mapping and monitoring

Looking at food access support across the UK during the COVID-19 pandemic, national level mapping and monitoring was undertaken in England, Northern Ireland, Scotland and Wales as well as at a UK level. National level stakeholders (for example from devolved governments and national voluntary organisations) from across the four nations worked with us to understand and monitor how support for food access has operated and evolved across the UK.

Work package 1 publications: Mapping responses to the risk of rising food insecurity during the COVID-19 crisis across the UK (published August 2020) Monitoring responses to the risk of rising food insecurity during the COVID-19 crisis across the UK (published December 2020) Mapping and monitoring responses to the risk of rising food insecurity during the COVID-19 crisis across the UK - Autumn 2020 to Summer 2021 (published August 2022)

Work package 2: Participatory Policy Panel

To fully understand food access responses, it was crucial to hear directly from those with lived experience of food insecurity during the pandemic. In partnership with Church Action on Poverty, we convened a participatory policy panel made up of people who have direct experience of a broad range of support to access food. Meeting regularly throughout the project (Oct 2020-Dec 2021), the panel used a range of participatory and creative methods to share and reflect on their experiences and contribute these to policy recommendations.

Work package 2 publications: Navigating Storms (published October 2021) Food Experiences During COVID-19 Participatory Panel Deliberative Policy Engagement (published August 2022) Food Experiences During COVID-19 - Participatory Methods in Practice: Key Learning (published August 2022)

Work package 3: Local area case studies

Fourteen local areas across the UK were the focus for more in depth case study research. Working with local stakeholders in each area, the research mapped what local responses looked like and how they operated. The research followed the developments in these areas throughout the duration of the project.

Work package 3 publications: Comparing local responses to household food insecurity during COVID-19 across the UK (March – August 2020) – Executive Summary (published July 2021) Comparing local responses to household food insecurity during COVID-19 across the UK (March – August 2020) (published July 2021). Eight local case study reports covering responses in those areas between March and August 2020: Argyll and Bute, Belfast, Cardiff, Derry and Strabane, Herefordshire, Moray, Swansea, West Berkshire (published July 2021). Local Area Case Studies – Methodological Appendix (published July 2021) Local responses to household food insecurity during COVID-19 across the UK (March – August 2020): Full report (published July 2021) Local responses to household food insecurity across the UK...

Abstract copyright UK Data Service and data collection copyright owner.

Ipsos UK conducted a series of six waves of UK-wide online surveys through the duration of the COVID-19 pandemic on behalf of the Department for Transport as part of the All Change? research programme. The research programme was designed in response to the COVID-19 pandemic to measure and explore the reasons for current and intended changes in travel behaviour amongst the British public.

Fieldwork for the first wave took place in May/June 2020 while the sixth and final wave took place in November 2021. All survey interviews were conducted online withadults aged 16-75 years old across England, Wales, Scotland and Northern Ireland. The data are longitudinal; however, they include additional fresh samples at each wave. The data are provided here in a single dataset file covering all six waves.

Respondents at waves 2-6 were drawn from those that had taken part in previous waves and agreed to be recontacted. While wave 2 involved 'top-up' sampling to boost the overall sample to approximately 4,000, this was not the case at wave 3 when the sample was drawn exclusively from the longitudinal cohort and contained no 'fresh' samples. At wave 4, a targeted 'top-up' exercise was undertaken to bolster the numbers among a selection of groups and geographies available for recontact at wave 5 (this reached 564 respondents). Waves 5 and 6 also involved a full 'top-up' exercise to secure samples of over 4,000.

At each wave, the survey questionnaire was translated into the Welsh language with respondents in Wales given the choice of whether to complete the survey in Welsh or in English.

Further information and reports are available on the GOV.UK web site.

The All Change survey included the following main topics, although not all topics were covered in all waves:

• transport behaviour (including mode and frequency of travel as well as journey purposes)
• expectations of future journeys
• reasons for changing travel behaviour
• travel perceptions (including level of comfort when travelling, safety, COVID precautions)
• travel to work and for shopping
  
• sustainable travel
  
• vaccination
  

The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

LFS response to COVID-19

From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2024 Reweighting

In February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.

End User Licence and Secure Access QLFS data

Two versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).

The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• finer detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories;
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address
• other additional detailed variables may also be included.

The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the second edition (January 2025), the 2018 person weight (PWT18) was replaced with the 2024 person weight (PWT24). Only the person weight has been replaced with a 2024 version; the 2018 income weight (PIWT18) remains.

Higher Education Graduate Outcomes Statistics: UK, 2020/21 This Statistical Bulletin is the annual first release of Graduate Outcomes survey data. These experimental statistics cover UK higher education providers (HEPs) including alternative providers (APs) and further education colleges (FECs) in England, Wales and Northern Ireland. Data is collected approximately 15 months after HE course completion. The 2020/21 Graduate Outcomes cohort finished their qualifications in the second academic year affected by COVID-19. While Cohort A finished their qualifications during late summer and early autumn 2020, in a period of relatively loose restrictions, restrictions began to increase over the course of the academic year. Cohort B graduated into a period of short national lockdowns, followed by the start of the second national lockdown in January 2021. Cohort C likewise graduated in lockdown, but the progress of the vaccination programme led to a gradual easing of restrictions as spring progressed; by the time Cohort D, the largest Graduate Outcomes cohort, began to finish their qualifications in May 2021, most adults had been offered a first vaccine dose, and restrictions were gradually being phased out across the UK. The circumstances under which 2020/21 graduates were surveyed were quite different. As surveying for Cohort A opened in December 2021, Omicron variant cases were rising and new guidance was being issued requiring masks in indoor spaces and encouraging people to work from home where possible, the new restrictions were considerably more lenient than those which were introduced a year previously. By the time the Cohort B survey period opened in March 2022, all legal restrictions had been lifted in England, and remaining restrictions were phased out in other nations over the next few months. Although COVID cases rose from the start of June to a summer peak in early July, no legal restrictions were in place during the survey periods for Cohorts C and D. An insight briefing provides further detail on analysis undertaken to explore the impact of the pandemic, and the conclusions identified. This statistical bulletin has been produced by HESA in collaboration with statisticians from the Office for Students, the Department for Education, the Welsh Government, the Scottish Government and the Department for the Economy Northern Ireland. It has been released according to the arrangements approved by the UK Statistics Authority.

Abstract copyright UK Data Service and data collection copyright owner.

The DAHLIA-19 ('Domestic Abuse Harnessing Learning Under Covid 19') was a research study of policy and practice responses to domestic abuse during the Covid-19 pandemic in four jurisdictions - Australia, Ireland, South Africa and the United Kingdom (UK, covering England, Wales, Scotland and Northern Ireland). All are upper or upper/middle income countries with established domestic abuse services. The overall purpose of DAHLIA-19 was to investigate policy and practice responses to domestic abuse in different jurisdictions during the crisis to harness learning to inform recovery. Data were gathered for this research between November 2020 and December 2021. The fieldwork was largely desk based with interviews and consultations conducted by telephone or online. Data were gathered in each jurisdiction from a range of sources including documents, interviews with policy and practice stakeholders and experts, and surveys. In each country a 'mapping study' was completed, followed by a more in-depth case study. The findings of all four jurisdictions are also presented in an international synthesis report.

National responses to domestic abuse under COVID-19 across all jurisdictions were of four key types:

• Resources: strengthening pre COVID-19 strategic approaches to domestic abuse;
• Collaboration and cooperation: technologically facilitated developments improving multi-sector ways of working;
• Innovation and adaptation: in direct service delivery and community-led innovations
• Working with perpetrators: new developments

Main Topics:

COVID

Domestic Abuse

The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

LFS response to COVID-19

From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2024 Reweighting

In February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.

End User Licence and Secure Access QLFS data

Two versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).

The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• finer detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories;
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address
• other additional detailed variables may also be included.

The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the fifth edition (June 2022), 2022 weighting variable PWT22 was added to the study, and the 2020 weight removed.