According to a March 2021 survey conducted in the United Kingdom (UK), UK retailers in the fuel and textile clothing and footwear sectors were hit the hardest by the coronavirus pandemic. About ** percent of fuel retail businesses stated they experienced decrease in their business turnover between February 22 and March 7, 2021. Non-store retailers were the least impacted sector in the group as ** percent of these businesses reported their turnover have increased in this time period and a further ** stated that their turnover have not affected by the pandemic.

Data on activities that respondents have been doing more of since the start of the coronavirus pandemic and will keep doing after the end of the pandemic. Data are based on the COVID-19 module of the OPN, collected between 10 and 14 March 2021.

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 is a release of management information for anonymous summary data for those patients that have been identified on the Shielded Patient List (SPL). Its purpose is to make the summary data available to a wider audience, as open data, to enable a broad base of users to perform analysis from it. The purpose behind releasing this data is to present regional and local data to allow for its use in public health. It will also allow for greater analysis, modelling and planning to be performed using the latest data, to aid in the response to the pandemic. We will update this weekly and we would welcome your feedback to help us develop our open data sets. The data that is published is based on version 51 of the SPL clinical methodology, with the data extracted as at 28 March 2021.

When faced with an outbreak of a pathogen with no known treatments, we are forced to rely on the pharmaceutical industry to develop interventions to curb these potential disasters. Read More

The coronavirus (COVID-19) pandemic caused serious disruptions to the travel industry worldwide. When surveyed in March 2021, respondents from the United Kingdom declared that having received a vaccine was the most important factor when deciding whether to go on a vacation, with ** percent stating that this was the case.

Actual and expected barriers to COVID-19 vaccination. Data are based on the COVID-19 module of the OPN, collected between 17 and 21 March 2021.

Exploratory anti-nucleocapsid (N) antibody data, by UK country and age, from the Coronavirus (COVID-19) Infection Survey. Interpretation guidance in notes section.

According to a survey conducted in Great Britain in March 2021, *** percent of respondents personally knew a close friend who died due to complications from COVID-19, while a further *** percent of respondents knew a family member who died as a result of the virus.

Mean happiness indicators from the Opinions and Lifestyle Survey (OPN) on factors related to well-being in rural areas, urban areas and London.

In early-February, 2020, the first cases of the coronavirus (COVID-19) were reported in the United Kingdom (UK). The number of cases in the UK has since risen to 24,243,393, with 1,062 new cases reported on January 13, 2023. The highest daily figure since the beginning of the pandemic was on January 6, 2022 at 275,646 cases.

COVID deaths in the UK COVID-19 has so far been responsible for 202,157 deaths in the UK as of January 13, 2023, and the UK has one of the highest death toll from COVID-19 in Europe. As of January 13, the incidence of deaths in the UK is 298 per 100,000 population.

Regional breakdown The South East has the highest amount of cases in the country with 3,123,050 confirmed cases as of January 11. London and the North West have 2,912,859 and 2,580,090 cases respectively.

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

This file contains workforce absence statistics for education settings during restricted opening from 11 January to 5 March 2021, excluding half term dates from 15 to 19 February 2021. Data is not comparable to workforce absence estimates collected in the autumn term.Data is in this file has been scaled to account for non-response so it is nationally representative.

Indicators from the Opinions and Lifestyle Survey (OPN) on factors related to well-being in rural areas, urban areas and London.

The coronavirus (COVID-19) pandemic had a major impact on businesses within the accommodation and food service industry in the United Kingdom. Fewer businesses were trading at the start of the outbreak in March 2020, with the lowest value recorded during the first few weeks of lockdown from April 6-19 (18.2 percent). Since July most businesses have returned to trading, reaching close to 90 percent in the first week of August. However, the share of accommodation and food service businesses trading have fluctuated from September 21 onwards. By March 21, 2021, the number of businesses trading reached 37.3 percent.

Exploring the social impacts on behaviours during the different lockdown periods of the coronavirus (COVID-19) pandemic in the UK. Data are from March 2020 to January 2021.

Analysis of people previously considered to be clinically extremely vulnerable (CEV) in England during the coronavirus (COVID-19) pandemic, including their behaviours and mental and physical well-being.

Indicators from the Opinions and Lifestyle Survey (OPN) on factors related to well-being by local authority.

Over the past pandemic year, a significant number of consumers in the United Kingdom (UK) have reported changes in their online shopping behavior. Specifically, in March 2020, about ** percent of UK shoppers said they had been shopping more online, compared to before the coronavirus (COVID-19) pandemic. By February 2021, however, this percentage had grown to approximately ** percent. By the same token, offline shopping has decreased over the analyzed period.