Due to changes in the collection and availability of data on COVID-19 this page will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard, Office for National Statistics, and the UKHSA

This page provides a weekly summary of data on deaths related to COVID-19 published by NHS England and the Office for National Statistics. More frequent reporting on COVID-19 deaths is now available here, alongside data on cases, hospitalisations, and vaccinations.

This update contains data on deaths related to COVID-19 from:

• NHS England COVID-19 Daily Deaths - last updated on 28 June 2022 with data up to and including 27 June 2022.
• ONS weekly deaths by Local Authority - last updated on 16 August 2022 with data up to and including 05 August 2022.

Summary notes about each these sources are provided at the end of this document.

Note on interpreting deaths data: statistics from the available sources differ in definition, timing and completeness. It is important to understand these differences when interpreting the data or comparing between sources.

Weekly Key Points

• An additional 24 deaths in London hospitals of patients who had tested positive for COVID-19 and an additional 5 where COVID-19 was mentioned on the death certificate were announced in the week ending 27 June 2022. This compares with 40 and 3 for the previous week.
• A total of 306 deaths in hospitals of patients who had tested positive for COVID-19 and 27 where COVID-19 was mentioned on the death certificate were announced for England as whole. This compares with 301 and 26 for the previous week.
• The total number of COVID-19 deaths reported in London hospitals of patients who had tested positive for COVID-19 is now 19,102. The total number of deaths in London hospitals where COVID-19 was mentioned on the death certificate is now 1,590.
• This compares to figures of 119,237 and 8,197 for English hospitals as a whole.
• Due to the delay between death occurrence and reporting, the estimated number of deaths to this point will be revised upwards over coming days
• These figures do not include deaths that occurred outside of hospitals. Data from ONS has indicated that the majority (79%) of COVID-19 deaths in London have taken place in hospitals.

Recently announced deaths in Hospitals

https://cdn.datapress.cloud/london/img/dataset/2406874d-a960-49d0-bbd5-3ea57c4a9b85/2025-06-09T20%3A54%3A56/e58736bd8800e0fe2b32fc2eb79e37da.webp" width="3840" alt="Embedded Image" />

21 June 22 June 23 June 24 June 25 June 26 June 27 June London No positive test 0 0 1 4 0 0 0 London Positive test 3 7 2 10 0 0 2 Rest of England No positive test 2 6 4 4 0 0 6 Rest of England Positive test 47 49 41 58 6 0 81 https://cdn.datapress.cloud/london/img/dataset/2406874d-a960-49d0-bbd5-3ea57c4a9b85/2025-06-09T20%3A54%3A57/527d64c1e783180ed460de85c1781ec5.webp" width="3840" alt="Embedded Image" />

16 May 23 May 30 May 06 June 13 June 20 June 27 June London No positive test 14 3 4 0 4 3 5 London Positive test 45 34 55 20 62 40 24 Rest of England No positive test 41 58 33 23 47 23 22 Rest of England Positive test 456 375 266 218 254 261 282 Deaths by date of occurrence

https://cdn.datapress.cloud/london/img/dataset/2406874d-a960-49d0-bbd5-3ea57c4a9b85/2025-06-09T20%3A54%3A57/c5d895e060bb2af8255978c92f2d5416.webp" width="3840" alt="Embedded Image" />

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https://cdn.datapress.cloud/london/img/dataset/2406874d-a960-49d0-bbd5-3ea57c4a9b85/2025-06-09T20%3A54%3A58/4691f3cf7b2cd77786a48c3414bfa910.webp" width="3840" alt="Embedded Image" />

21 June 22 June 23 June 24 June 25 June 26 June 27 June London 20,683 20,686 20,690 20,691 20,692 20,692 20,692 Rest of England 106,604 106,635 106,679 106,697 106,713 106,733 106,742 Interpreting the data

The data published by NHS England are incomplete due to:

• delays in the occur

Estimates of the prevalence of self-reported long COVID and associated activity limitation, using UK Coronavirus (COVID-19) Infection Survey data. Experimental Statistics.

COVID-19 is a infectious Disease which has infected more than 500 people in UK and many more people world-wide.

Acknowledgements Sincere thanks to Public Health England and Local governments. Source of Data: UK Government and Public Health UK

****Notes on the methodology**** This service shows case numbers as reported to Public Health England (PHE), matched to Administrative Geography Codes from the Office of National Statistics. Cases include people who have recovered.

Events are time-stamped on the date that PHE was informed of the new case or death.

The map shows circles that grow or shrink in line with the number of cases in that geographic area.

Data from Scotland, Wales and Northern Ireland is represented on the charts, total indicators and on the country level map layer.

Contains Ordnance Survey data © Crown copyright and database right 2020. Contains National Statistics data © Crown copyright and database right 2020.

Terms of Use No special restrictions or limitations on using the item’s content have been provided.

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

United Kingdom recorded 24603076 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, United Kingdom reported 225324 Coronavirus Deaths. This dataset includes a chart with historical data for the United Kingdom Coronavirus Cases.

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: https://blog.ukdataservice.ac.uk/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/

Headline estimates for England, Wales, Northern Ireland and Scotland. 

This document provides the summary statistics from a subset of data collected from a YouGov survey conducted in Nov 2020. The data covers respondents answers to questions about: level of public trust in scientists and scientific information about the coronavirus pandemic in March 2020 and November 2020; views about the communication of scientific uncertainty; views about whether public information is an accurate representation of coronavirus science; views about whether the impact of coronavirus science had had a positive or negative effect on the response; views about confidence in the accuracy of coronavirus science; whether scientists all agreed about coronavirus science; and whether coronavirus science was available and accessible to everyone. The sample comprised 2,025 individuals living in England, with key characteristics of respondents including: age, gender, ethnicity, whether they were a carer, a keyworker, whether they had had advice to shield from the NHS, and whether they believed they had had coronavirus. This data forms the basis of the descriptive statistics paper titled "Public views of coronavirus science and scientists: findings from a cross-sectional survey." The main dataset is also available on request here: https://doi.org/10.5523/bris.dexqujusyqvd2fxm8lxd2w321 Complete download (zip, 633.1 KiB)

Antibody data, by UK country and age, from the Coronavirus (COVID-19) Infection Survey.

The dashboard provides data on COVID-19 testing, cases, healthcare, and deaths in the UK. Data are covered by the UK Open Government Licence.

Number and rate of weekly Covid-19 cases for Leicester local areas (MSOAs). For MSOAs with fewer than 3 weekly cases, we do not show data. This is to protect individuals' identities.Please note automatic updates to this dataset was discontinued on 9th December 2023.

This dataset illustrates uptake inequalities of fourth doses of the coronavirus (COVID-19) vaccine using 2021 Census-derived demographic and socio-economic characteristics: age. sex, ethnicity, religion, socio-economic status and self-reported disability and health status.

Vaccination data are produced using linked data from Deaths registrations and Census 2021, National Immunisation Management Service, Hospital Episode Statistics and General Practise Extraction Service data for Pandemic Planning and Research.

Data may differ from weekly administrative vaccination data published by NHS England.

Provisional counts of the number of deaths and age-standardised mortality rates involving the coronavirus (COVID-19), by occupational groups, for deaths registered between 9 March and 28 December 2020 in England and Wales. Figures are provided for males and females.

Estimates of the risk of hospital admission for coronavirus (COVID-19) and death involving COVID-19 by vaccination status, overall and by age group, using anonymised linked data from Census 2021. Experimental Statistics.

Outcome definitions

For this analysis, we define a death as involving COVID-19 if either of the ICD-10 codes U07.1 (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified) is mentioned on the death certificate. Information on cause of death coding is available in the User Guide to Mortality Statistics. We use date of occurrance rather than date of registration to give the date of the death.

We define COVID-109 hospitalisation as an inpatient episode in Hospital Episode Statistics where the primary diagnosis was COVID-19, identified by the ICD-19 codes (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified). Where an individual had experienced more than one COVID-19 hospitalisation, the earliest that occurred within the study period was used. We define the date of COVID-19 hospitalisation as the start of the hospital episode.

ICD-10 code

U07.1 :

COVID-19, virus identified

U07.2:

COVID-19, virus not identified

Vaccination status is defined by the dose and the time since the last dose received

Unvaccinated:

no vaccination to less than 21 days post first dose

First dose 21 days to 3 months:

more than or equal to 21 days post second dose to earliest of less than 91 days post first dose or less than 21 days post second dose

First dose 3+ months:

more than or equal to 91 days post first dose to less than 21 days post second dose

Second dose 21 days to 3 months:

more than or equal to 21 days post second dose to earliest of less than 91 days post second dose or less than 21 days post third dose

Second dose 3-6 months:

more than or equal to 91 days post second dose to earliest of less than 182 days post second dose or less than 21 days post third dose

Second dose 6+ months:

more than or equal to 182 days post second dose to less than 21 days post third dose

Third dose 21 days to 3 months:

more than or equal to 21 days post third dose to less than 91 days post third dose

Third dose 3+ months:

more than or equal to 91 days post third dose

Model adjustments

Three sets of model adjustments were used

Age adjusted:

age (as a natural spline)

Age, socio-demographics adjusted:

age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status)

Fully adjusted:

age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status), plus health-related characteristics (disability, self-reported health, care home residency, number of QCovid comorbidities (grouped), BMI category, frailty flag and hospitalisation within the last 21 days.

Age

Age in years is defined on the Census day 2021 (21 March 2021). Age is included in the model as a natural spline with boundary knots at the 10th and 90th centiles and internal knots at the 25th, 50th and 75th centiles. The positions of the knots are calculated separately for the overall model and for each age group for the stratified model.

This mapping tool enables you to see how COVID-19 deaths in your area may relate to factors in the local population, which research has shown are associated with COVID-19 mortality. It maps COVID-19 deaths rates for small areas of London (known as MSOAs) and enables you to compare these to a number of other factors including the Index of Multiple Deprivation, the age and ethnicity of the local population, extent of pre-existing health conditions in the local population, and occupational data. Research has shown that the mortality risk from COVID-19 is higher for people of older age groups, for men, for people with pre-existing health conditions, and for people from BAME backgrounds. London boroughs had some of the highest mortality rates from COVID-19 based on data to April 17th 2020, based on data from the Office for National Statistics (ONS). Analysis from the ONS has also shown how mortality is also related to socio-economic issues such as occupations classified ‘at risk’ and area deprivation. There is much about COVID-19-related mortality that is still not fully understood, including the intersection between the different factors e.g. relationship between BAME groups and occupation. On their own, none of these individual factors correlate strongly with deaths for these small areas. This is most likely because the most relevant factors will vary from area to area. In some cases it may relate to the age of the population, in others it may relate to the prevalence of underlying health conditions, area deprivation or the proportion of the population working in ‘at risk occupations’, and in some cases a combination of these or none of them. Further descriptive analysis of the factors in this tool can be found here: https://data.london.gov.uk/dataset/covid-19--socio-economic-risk-factors-briefing

This weekly data shows the cumulative number of positive Covid-19 cases in Angus school clusters - combined total of teachers, support staff, children and young people (not including contractors). The dataset is updated fortnightly on a Tuesday. Field names. Cumulative confirmed cases in Brechin. Cumulative confirmed cases in Carnoustie. Cumulative confirmed cases in Forfar. Cumulative confirmed cases in Kirriemuir. Cumulative confirmed cases in Monifieth. Cumulative confirmed cases in Montrose. Cumulative confirmed cases in North Arbroath. Cumulative confirmed cases in West Arbroath.

The purpose of this dataset is to understand the prevalence of COVID-19 in the UK population, including swab results, antibody tests and demographic information.

This dataset shows the provisional COVID-19 Death registrations and occurrences by local authority and health board in England and Wales. This dataset has been prepared by Office for National Statistics.

The PRIEST study used patient data from the early phases of the COVID-19 pandemic. The PRIEST study provided descriptive statistics of UK patients with suspected COVID-19 in an emergency department cohort, analysis of existing triage tools, and derivation and validation of a COVID-19 specific tool for adults with suspected COVID-19. For more details please go to the study website:https://www.sheffield.ac.uk/scharr/research/centres/cure/priestFiles contained in PRIEST study data repository Main files include:PRIEST.csv dataset contains 22445 observations and 119 variables. Data include initial presentation and follow-up, one row per participant.PRIEST_variables.csv contains variable names, values and brief description.Additional files include:Follow-up v4.0 PDF - Blank 30-day follow-up data collection toolPandemic Respiratory Infection Form v7 PDF - Blank baseline data collection toolPRIEST protocol v11.0_17Aug20 PDF - Study protocolPRIEST_SAP_v1.0_19jun20 PDF - Statistical analysis planThe PRIEST data sharing plan follows a controlled access model as described in Good Practice Principles for Sharing Individual Participant Data from Publicly Funded Clinical Trials. Data sharing requests should be emailed to priest-study@sheffield.ac.uk. Data sharing requests will be considered carefully as to whether it is necessary to fulfil the purpose of the data sharing request. For approval of a data sharing request an approved ethical review and study protocol must be provided. The PRIEST study was approved by NRES Committee North West - Haydock. REC reference: 12/NW/0303