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

Due to changes in the collection and availability of data on COVID-19, this dataset is no longer updated. Latest information about COVID-19 is available via the UKHSA data dashboard. The UK government publish daily data, updated weekly, on COVID-19 cases, vaccinations, hospital admissions and deaths. This note provides a summary of the key data for London from this release. Data are published through the UK Coronavirus Dashboard, last updated on 23 March 2023. This update contains: Data on the number of cases identified daily through Pillar 1 and Pillar 2 testing at the national, regional and local authority level Data on the number of people who have been vaccinated against COVID-19 Data on the number of COVID-19 patients in Hospital Data on the number of people who have died within 28 days of a COVID-19 diagnosis Data for London and London boroughs and data disaggregated by age group Data on weekly deaths related to COVID-19, published by the Office for National Statistics and NHS, is also available. Key Points On 23 March 2023 the daily number of people tested positive for COVID-19 in London was reported as 2,775 On 23 March 2023 it was newly reported that 94 people in London died within 28 days of a positive COVID-19 test The total number of COVID-19 cases identified in London to date is 3,146,752 comprising 15.2 percent of the England total of 20,714,868 cases In the most recent week of complete data (12 March 2023 - 18 March 2023) 2,951 new cases were identified in London, a rate of 33 cases per 100,000 population. This compares with 2,883 cases and a rate of 32 for the previous week In England as a whole, 29,426 new cases were identified in the most recent week of data, a rate of 52 cases per 100,000 population. This compares with 26,368 cases and a rate of 47 for the previous week Up to and including 22 March 2023 6,452,895 people in London had received the first dose of a COVID-19 vaccine and 6,068,578 had received two doses Up to and including 22 March 2023 4,435,586 people in London had received either a third vaccine dose or a booster dose On 22 March 2023 there were 1,370 COVID-19 patients in London hospitals. This compares with 1,426 patients on 15 March 2023. On 22 March 2023 there were 70 COVID-19 patients in mechanical ventilation beds in London hospitals. This compares with 72 patients on 15 March 2023. Update: From 1st July updates are weekly From Friday 1 July 2022, this page will be updated weekly rather than daily. This change results from a change to the UK government COVID-19 Dashboard which will move to weekly reporting. Weekly updates will be published every Thursday. Daily data up to the most recent available will continue to be added in each weekly update. Data summary 리소스 CSV phe_vaccines_age_london_boroughs.csv CSV 다운로드 phe_vaccines_age_london_boroughs.csv CSV phe_healthcare_admissions_age.csv CSV 다운로드

Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

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).

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/975541/Surge_testing_summary_2021-03-26.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

Surge testing summary 1 April 2021

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Work is underway in NHS Test and Trace to digitally label samples associated with surge testing, through an end-to-end process from sample to sequence. In the interim, this preliminary analysis uses a pragmatic proxy of samples identified through local surge testing initiatives as:

• specimens taken at a mobile test unit (MTU), regional test site (RTS) or local test site (LTS) that has been designated by NHS Test and Trace as related to surge testing, during the period surge testing was in operation PLUS

• specimens from a home test kit delivered to a postcode within a designated surge test area, during the period surge testing was in operation

Tests undertaken as part of surge testing but from persons resident in other postcodes or processed through a test site not designated as surge testing using the definition above, will not be included in this proxy.

Indicators are presented by ‘locality’ of area targeted for surge testing and the test sites linked to it (including MTU deployment). Locality names are the operational names assigned by Test and Trace and do not necessarily relate to strict geographical boundaries. Specimens from individuals who do not reside in the locality – but who have been tested at a site associated with the locality for surge testing – may be included.

All variant of concern or variant under investigation samples identified through surge testing are verified through established PHE dataflows and matched to the earliest positive specimen of a case in the daily line list of cases. Therefore, this report does not include sequencing for any cases with a positive specimen taken prior to surge testing. Data from the last 7 days has been excluded to allow time for sequencing data to be reported.

Lateral Flow Device (LFD) testing and cases first identified using LFD are included. Cases first identified using LFD may have a later PCR sample which has been sequenced. LFD contribution to case rate is assumed to be similar in surge and non-surge areas and therefore should not impact comparative sequencing estimates.<

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.

As of December 2024, there were around 4.39 million self-employed workers in the United Kingdom. During this provided time-period, self-employment in the UK has grown steadily, from a low of just 3.2 million in December 2000, to a peak of over five million at the start of 2020. After the COVID-19 pandemic, however, self-employment has fallen to levels not seen since the middle of 2015 and has struggled to recover to its pre-pandemic peak. Demographics of the self-employed Between 1992 and 2023, there has consistently been more men self-employed than women, with recent figures showing that over 2.74 million men, and 1.62 million women were self-employed. As of 2022, the most numerous self-employed age group was those aged between 45 and 54 years old, reaching just over 1.3 million individuals, indicating that middle-aged people have the highest self-employment rates. In the same year, around 757,000 self-employed workers in the UK were based in the London region, with a further 644,000 based in South East England. Self-employment support scheme In response to the COVID-19 pandemic, the UK government unveiled various measures to mitigate the economic costs to businesses and individuals. For self-employed workers, this manifested itself as the Self-Employment Income-Support Scheme, which was in its third iteration, or tranche, by December 2020. During the first tranche, which ran from March to July, there were 2.7 million claims made in total, with claims to the second and third tranches numbering 2.4 million and 1.7 million respectively. As of December 13, 2020, the overall value of these claims amounted to 14.5 billion British pounds.

Daily Coronavirus (Covid-19) positive tests in Leicester City Council and surrounding districts.Data for the most recent 4-5 days is likely to be incomplete.Please note automatic updates to this dataset were discontinued on 12th December 2023.

Government debt in the United Kingdom reached over 2.9 trillion British pounds in 2023/24, compared with 1.9 trillion pounds in 2019/20. Although the amount of public sector debt has been rising for some time, there was a noticeable uptick between 2019/20 and 2020/21, when government spending increased substantially due to the economic impact of the COVID-19 pandemic.

This report and dataset were commissioned by the Greater London Authority, and produced by Centric Lab to uncover the work of community groups that connect with environmental issues in Hackney, Newham, Tower Hamlets and Waltham Forest.

These four boroughs were selected as they have some of the highest representation of multi-ethnic low income communities who were greatly affected by the coronavirus pandemic. Many reports highlighted the role of environmental pollutants and structural deprivation as a determinant of Covid-19 infection and impact.

As evidenced in this report communities demonstrate numerous and diverse capabilities in tackling the structural challenges of modern day London. This report highlights the different community groups committed to improving the lives of their families, neighbours, and future generations who grace the place they call home. The Mayor of London’s Engaging Londoners in Recovery Programme 2021-2023 sets out an agenda to champion this intellect and capacity to help deliver bottom-up led change in policy such as that of a Green New Deal for London.

This report was produced in late 2021 and early 2022 when ‘Plan B’ Covid-19 restrictions were in place for most of its duration. This project was a desktop study and focused on working remotely. All data was gathered through online means and digital communications. This means that despite collating the amazing work of 143 organisations there’s a chance some were missed due to low digital visibility.

Post-interventions linear trend with (decreasing) stringency index.

As of January 2025, there were around 4.39 million self-employed workers in the United Kingdom. During this provided time-period, self-employment in the UK has grown steadily, from a low of just 3.2 million in December 2000, to a peak of over five million at the start of 2020. After the COVID-19 pandemic, however, self-employment has fallen to levels not seen since the middle of 2015 and has struggled to recover to its pre-pandemic peak. Demographics of the self-employed There has consistently been more men self-employed than women in the UK, with recent figures showing that over 2.8 million men, and over 1.5 million women were self-employed. As of 2024, the most likely age group to be self-employed were those aged 65 or over, with over a third of workers in this age group self-employed. In the same year, around 16.5 percent of workers in London were self-employed, compared with the UK average of 13.1 percent, making London the region with the highest rate of self-employment in the UK. Self-employment support scheme In response to the COVID-19 pandemic, the UK government unveiled various measures to mitigate the economic costs to businesses and individuals. For self-employed workers, this manifested itself as the Self-Employment Income-Support Scheme, which was in its third iteration, or tranche, by December 2020. During the first tranche, which ran from March to July, there were 2.7 million claims made in total, with claims to the second and third tranches numbering 2.4 million and 1.7 million respectively. As of December 13, 2020, the overall value of these claims amounted to 14.5 billion British pounds.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data from respondents in Great Britain. Information is gathered on a range of subjects, commissioned both internally by the Office for National Statistics (ONS) and by external clients (other government departments, charities, non-profit organisations and academia).One individual respondent, aged 16 or over, is selected from each sampled private household to answer questions. Data are gathered on the respondent, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. Each regular OPN survey consists of two elements. Core questions, covering demographic information, are asked together with non-core questions that vary depending on the module(s) fielded.The OPN collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living. The OPN has expanded to include questions on other topics of national importance, such as health and the cost of living.For more information about the survey and its methodology, see the gov.uk OPN Quality and Methodology Information (QMI) webpage.Changes over timeUp to March 2018, the OPN was conducted as a face-to-face survey. From April 2018 to November 2019, the OPN changed to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for module customers.In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held under Secure Access conditions in SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. (See below for information on other Secure Access OPN modules.)From August 2021, as coronavirus (COVID-19) restrictions were lifted across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remained sustainable. Secure Access OPN modulesBesides SN 8635 (the COVID-19 Module), other Secure Access OPN data includes sensitive modules run at various points from 1997-2019, including Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See the individual studies for further details and information on how to apply to use them. Main Topics: The non-core questions for this month were: Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed. Road Pricing (Module MAE): this module was asked on behalf of the Department for Transport and asks for opinions on road pricing. Disability (Module MCA): this module was asked on behalf of the Office for National Statistics and seeks information regarding health problems which are long-lasting in nature and cause problems with normal daily activities. Variables MCA_1b1M and MCA_2b2M have been recoded into smaller groupings. Later life (Module MCE): this module was asked by the Department for Work and Pensions on behalf of a number of other government departments which are interested in what people think of the support available to help older people to continue to live independently in later life. Health and work (Module MCP): this module was asked by DWP on behalf of the Health, Work and Well-being Delivery Unit. Questions relate to health, well-being and work. This version of the data does not contain variables MCP_14, MCP_15M, MCP_16 and MCP_17 as they are considered disclosive. Multi-stage stratified random sample Face-to-face interview