This feature service contains COVID-19 data automatically updated from the Public Health England (PHE) API service, daily. Using this API, this service takes the current day request minus two days. Therefore the data will always be two days behind. This is a result of the delay between PHE's specimen date and reporting date.The Polygon Layers, which all contain spatial data, provide information about the latest cumulative figures at three geographies; Local Authority, Regions and Nations. The Tables, which are not spatially aware, provide historical data for each feature. The format of these tables allow you to use the Join tool with the Polygon Layers and create a time enabled layer. This can be used within a dashboard or on the animation tool to view patterns over time.

Age-standardised mortality rates (ASMRs) for deaths involving COVID-19 by ethnic group, England.

A survey carried out in the United Kingdom in September 2021 found that 52 percent of respondents did not take any action after encountering what they believed to be false or misleading information on the COVID-19 outbreak. Whilst this figure was lower than the share who said the same in the 2020 survey, taking no action remained the most common response to fake coronavirus news. Meanwhile, 16 percent used a fact checking site or tool to determine whether or not the information they found was true, and 14 percent turned to family or friends for help in confirming the legitimacy of news they suspected to be false.

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

Estimates of differences in coronavirus (COVID-19) mortality risk by self-reported disability status for deaths occurring up to 9 March 2022, using linked data from the Office for National Statistics’ Public Health Data Asset.

GlobalData expects the UK construction industry to contract by 5.8% in 2020, but there is a high likelihood of downward revisions if activity in the short-term is more severely disrupted than currently anticipated. Read More

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

When asked whether or not their spending habits had changed during the coronavirus (COVID-19) pandemic, approximately a third of consumers in the United Kingdom (UK) stated they had been shopping online more than usual. Many UK shoppers also tried reducing their overall spending: some did so in order to save more, while for others it was due to with financial hardship.

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

This page is no longer updated. It has been superseded by the Business insights and impacts on the UK economy dataset page (see link in Notices). It contains comprehensive weighted datasets for Wave 7 onwards. All future BICS datasets will be available there. The datasets on this page include mainly unweighted responses from the voluntary fortnightly business survey, which captures businesses’ responses on how their turnover, workforce prices, trade and business resilience have been affected in the two-week reference period, up to Wave 17.

In a survey carried out in the United Kingdom in September 2021, five percent of respondents said that they had encountered news or information about the coronavirus that they believed to be false or misleading 20 times or more per day in the last week. This marked an increase of two percent from the share who said the same in the survey wave held in September 2020. Meanwhile, 24 percent of respondents believed they had seen fake news about COVID-19 a few times a week in September 2021.

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

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.

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

Understanding Society (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

The Understanding Society COVID-19 Study, 2020-2021 is a regular survey of households in the UK. The aim of the study is to enable research on the socio-economic and health consequences of the COVID-19 pandemic, in the short and long term. The surveys started in April 2020 and took place monthly until July 2020. From September 2020 they took place every other month until March 2021 and the final wave was fielded in September 2021. They complement the annual interviews of the Understanding Society study. The data can be linked to data on the same individuals from previous waves of the annual interviews (SN 6614) using the personal identifier pidp. However, the most recent pre-pandemic (2019) annual interviews for all respondents who have taken part in the COVID-19 Study are included as part of this data release. Please refer to the User Guide for further information on linking in this way and for geographical information options.

Latest edition information

For the eleventh edition (December 2021), revised April, May, June, July, September, November 2020, January 2021 and March 2021 data files for the adult survey have been deposited. These files have been amended to address issues identified during ongoing quality assurance activities. All documentation has been updated to explain the revisions, and users are advised to consult the documentation for details. In addition new data from the September 2021 web survey have been deposited.

A survey carried out in the United Kingdom in September 2021 revealed that the main source used for news on COVID-19 among consumers aged 16 to 24 years old was the BBC, with 51 percent saying that they went to a BBC platform for coronavirus updates in the last week. The same share of respondents in that age group also used social media for COVID-19 information, whereas older consumers were more likely to read newspapers.

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

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

A survey carried out in the United Kingdom in September 2021 revealed that 36 percent of respondents between the ages of 16 and 24 had come across news or information about the coronavirus that they thought was false or misleading in the last week, compared to just 17 percent of those aged 65 or above. Younger consumers were also the least likely to say that they had not seen any fake news on COVID-19 or were unsure whether or not they had, whilst a higher share of older consumers admitted that they did not know if they had encounted misleading information about the pandemic in the week running to the survey.

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

Context

Within the current response of a pandemic caused by the SARS-CoV-2 coronavirus, which in turn causes the disease, called COVID-19. It is necessary to join forces to minimize the effects of this disease.

Therefore, the intention of this dataset is to save data scientists time:

• Gather the data at the country level, encoding the country with its ISO code to allow easy access to other data
• Perform pre-processing of data, calculations of increments and other indicators that can facilitate modeling.
• Add the response of the governments over time so that it can be taken into account in the modeling.
• Daily update.

This dataset is not intended to be static, so suggestions for expanding it are welcome. If someone considers it important to add information, please let me know.

Content

The data contained in this dataset comes mainly from the following sources:

Source: Center for Systems Science and Engineering (CSSE) at Johns Hopkins University https://github.com/CSSEGISandData/COVID-19 Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE): https://systems.jhu.edu/

Source: OXFORD COVID-19 GOVERNMENT RESPONSE TRACKER https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker Hale, Thomas and Samuel Webster (2020). Oxford COVID-19 Government Response Tracker. Data use policy: Creative Commons Attribution CC BY standard.

The original data is updated daily.

The features it includes are:

• Country Name

• Country Code ISO 3166 Alpha 3

• Date

• Incidence data:

  • confirmed
  • deaths
  • recoveries

• Daily increments:

  • confirmed_inc
  • deaths_inc
  • recoveries_inc

• Empirical Contagion Rate - ECR

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3508582%2F3e90ecbcdf76dfbbee54a21800f5e0d6%2FECR.jpg?generation=1586861653126435&alt=media" alt="">

• GOVERNMENT RESPONSE TRACKER - GRTStringencyIndex

  OXFORD COVID-19 GOVERNMENT RESPONSE TRACKER - Stringency Index

• Indices from Start Contagion

  • Days since the first case of contagion is overcome
  • Days since 100 cases are exceeded

• Percentages over the country's population:

  • confirmed_PopPct
  • deaths_PopPct
  • recoveries_PopPct

The method of obtaining the data and its transformations can be seen in the notebook:

Notebook COVID-19 Data by country with Government Response

Photo by Markus Spiske on Unsplash

Some 33 percent of respondents in the United States were satisfied with their fellow citizens’ response to the coronavirus pandemic on May 31, 2020. Are people satisfied with the media’s response to the coronavirus? As of March to May 2020, all over the world, people were watching news coverage more than usual due to the coronavirus outbreak. A lot of respondents seem to want to keep in-line with the latest trends of a pandemic that has effectively crippled many of the world’s biggest economies. Consumers of several age groups between 16 and 64 are watching news with a greater frequency which also means a greater scrutiny for the media outlets. In the U.S., where millions of people have filed for unemployment benefits since the corona outbreak, more than one third of respondents were satisfied with media’s response to COVID-19 as of May 3rd, 2020. However, a considerable share of respondents in the U.S. believe that media has overstated news related to coronavirus outbreak in the U.S. That goes for audiences from both democrat and republican-supporting groups as they believe that the media outlets have either slightly or greatly exaggerated news about COVID-19.