100+ datasets found
  1. Impact of COVID-19 on bar and restaurant footfall in the UK Feb-Mar 2020

    • statista.com
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    Statista, Impact of COVID-19 on bar and restaurant footfall in the UK Feb-Mar 2020 [Dataset]. https://www.statista.com/statistics/1110280/coronavirus-hospitality-footfall-united-kingdom-uk/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 20, 2020 - Mar 20, 2020
    Area covered
    United Kingdom
    Description

    As the coronavirus (COVID-19) outbreak hit the United Kingdom, footfall to bars and restaurants declined. Across the hospitality sector on March 20, 2020, there had been a 58 percent decline in footfall in the last seven days compared to the same seven days in 2019. Bars, pubs and restaurants were ordered to close to visitors on March 20.

  2. COVID-19 impact on footfall of hospitality businesses in the UK 2020

    • statista.com
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    Statista, COVID-19 impact on footfall of hospitality businesses in the UK 2020 [Dataset]. https://www.statista.com/statistics/1168471/covid-19-impact-on-hospitality-industry-footfall-uk/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 27, 2020 - Aug 9, 2020
    Area covered
    United Kingdom
    Description

    As of August 2020, about 65 percent of businesses in the accommodation and food service sector in the United Kingdom had experienced a decrease in footfall in the last two weeks due to the ongoing coronavirus pandemic. For approximately 10.6 percent of businesses in the industry, footfall had increased.

  3. COVID-19's effect on hotel KPIs in the U.S. as of December 25, 2021

    • statista.com
    Updated Jul 23, 2025
    + more versions
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    Statista (2025). COVID-19's effect on hotel KPIs in the U.S. as of December 25, 2021 [Dataset]. https://www.statista.com/statistics/1109880/coronavirus-hotel-sector-kpis/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic is causing the hotel industry across the globe to take a hit. In the United States, this can be seen through a year-over-year decrease in some of the most important key performance indicators in the industry: occupancy, revenue per available room (RevPAR), and average daily rate (ADR). In the week ending December 25, 2021, U.S. hotels had an occupancy of ***** percent, showing a year-over-year decrease of *** percent. Meanwhile, ADR dropped to ****** U.S. dollars, reflecting an increase of *** percent on the previous year. Lastly, a RevPAR of ***** U.S. dollars showed a year-on-year drop of *** percent.

  4. COVID-19: impact on U.S. hotel industry GDP contribution 2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). COVID-19: impact on U.S. hotel industry GDP contribution 2020 [Dataset]. https://www.statista.com/statistics/1105296/coronavirus-hotel-industry-gdp-impact-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic is causing a decrease in hotel occupancy rates in the United States. As a result, the hotel sector's contribution to GDP could also see a drop. If occupancy rates were to drop by ** percent in the U.S., this would potentially result in a loss of *** billion U.S. dollars being contributed by the hotel sector to GDP in 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. Covid 19 Impact Dataset

    • kaggle.com
    zip
    Updated May 11, 2021
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    Saurabh Shahane (2021). Covid 19 Impact Dataset [Dataset]. https://www.kaggle.com/saurabhshahane/covid-19-impact-dataset
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    zip(110749 bytes)Available download formats
    Dataset updated
    May 11, 2021
    Authors
    Saurabh Shahane
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Acknowledgements

    Antipov, Evgeny (2020), “Time series analysis of COVID-19’s impact on the European’s hospitality industry: estimates based on accommodation statistics from 18 countries”, Mendeley Data, V1, doi: 10.17632/8y5tvmd6fh.1

  6. The impact of government interventions on the hospitality industry and...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan (2023). The impact of government interventions on the hospitality industry and industries closely related to it. [Dataset]. http://doi.org/10.1371/journal.pone.0255819.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The impact of government interventions on the hospitality industry and industries closely related to it.

  7. Hot Topic Brief - Impact of COVID-19 on the global lodging industry

    • store.globaldata.com
    Updated Jun 30, 2020
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    GlobalData UK Ltd. (2020). Hot Topic Brief - Impact of COVID-19 on the global lodging industry [Dataset]. https://store.globaldata.com/report/hot-topic-brief-impact-of-covid-19-on-the-global-lodging-industry/
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    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    COVID-19, commonly referred to as the Coronavirus, is dominating headlines the world over. The travel & tourism sector is suffering significant disruption and the lodging industry is very much impacted. Read More

  8. m

    Replication Data for: COVID-19’s Impacts on the Tourism and Hospitality...

    • data.mendeley.com
    Updated Dec 18, 2024
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    RAKSMEY SANN (2024). Replication Data for: COVID-19’s Impacts on the Tourism and Hospitality Industry: Recommendations for Future Research [Dataset]. http://doi.org/10.17632/cnxkrry929.1
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    Dataset updated
    Dec 18, 2024
    Authors
    RAKSMEY SANN
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset includes replication data for the paper: "Sann, R., Lai, P. C., & Liaw, S. Y. (2024). COVID-19’s Impacts on the Tourism and Hospitality Industry: Recommendations for Future Research. Journal of Quality Assurance in Hospitality & Tourism, 1–39. https://doi.org/10.1080/1528008X.2024.2434489"

  9. The performance of U.S. hospitality stocks and those in closely related...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan (2023). The performance of U.S. hospitality stocks and those in closely related industries during COVID-19. [Dataset]. http://doi.org/10.1371/journal.pone.0255819.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The performance of U.S. hospitality stocks and those in closely related industries during COVID-19.

  10. d

    US SBA COVID-19 Relief to NYS Business – Restaurant Revitalization Fund

    • catalog.data.gov
    • data.ny.gov
    • +1more
    Updated Jun 28, 2025
    + more versions
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    data.ny.gov (2025). US SBA COVID-19 Relief to NYS Business – Restaurant Revitalization Fund [Dataset]. https://catalog.data.gov/dataset/us-sba-covid-19-relief-to-nys-business-restaurant-revitalization-fund
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    data.ny.gov
    Area covered
    New York, United States
    Description

    The American Rescue Plan Act established the Restaurant Revitalization Fund (RRF) to provide funding to help restaurants and other eligible businesses keep their doors open. The American Rescue Plan Act established the Restaurant Revitalization Fund (RRF) to provide funding to help restaurants and other eligible businesses keep their doors open. This program provided restaurants with funding equal to their pandemic-related revenue loss up to $10 million per business and no more than $5 million per physical location. Recipients are not required to repay the funding as long as funds are used for eligible uses no later than March 11, 2023. This dataset details New York State recipients of RRF funds.

  11. Main measures in the hotel industry in Italy during the coronavirus 2020

    • statista.com
    Updated Sep 1, 2020
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    Statista (2020). Main measures in the hotel industry in Italy during the coronavirus 2020 [Dataset]. https://www.statista.com/statistics/1170586/main-measures-in-the-hotel-industry-in-italy-during-the-coronavirus/
    Explore at:
    Dataset updated
    Sep 1, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1, 2020 - Jun 14, 2020
    Area covered
    Italy
    Description

    In 2020, the hotel industry was dramatically hit by the coronavirus (COVID-19) pandemic, as several countries had to impose national lockdowns and restrict non-essential travels in order to limit the spread of the outbreak. A survey conducted in ********* focused on the main operational measures adopted by hotels in Italy during the pandemic. Data show that about seven in ten hotels involved in the study focused on new standards and hygiene procedures. Moreover, ** percent of facilities invested in digital marketing, while ** percent preferred to reduce traditional marketing expenditures.

  12. Company Impact Report - Lodging: Analysis of the impact of COVID-19 for...

    • store.globaldata.com
    Updated Apr 30, 2020
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    GlobalData UK Ltd. (2020). Company Impact Report - Lodging: Analysis of the impact of COVID-19 for major lodging companies using the SWOT framework [Dataset]. https://store.globaldata.com/report/company-impact-report-lodging-analysis-of-the-impact-of-covid-19-for-major-lodging-companies-using-the-swot-framework/
    Explore at:
    Dataset updated
    Apr 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    COVID-19, commonly referred to as the Coronavirus, is dominating headlines the world over. The travel & tourism sector is suffering significant disruption and the lodging industry is very much impacted. Read More

  13. Description of U.S. interventions.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan (2023). Description of U.S. interventions. [Dataset]. http://doi.org/10.1371/journal.pone.0255819.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Description of U.S. interventions.

  14. Coronavirus business grant funding by parliamentary constituency and local...

    • gov.uk
    Updated May 9, 2022
    + more versions
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    Department for Business and Trade (2022). Coronavirus business grant funding by parliamentary constituency and local authority [Dataset]. https://www.gov.uk/government/publications/coronavirus-business-grant-funding-by-parliamentary-constituency-and-local-authority
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    Dataset updated
    May 9, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business and Trade
    Description

    Data on the number and value of grants to small and medium sized businesses (SMEs) in response to the coronavirus pandemic.

    The spreadsheets show the total amount of money that each local authority and parliamentary constituency in England has:

    • received from central government
    • distributed to SMEs

    9 May 2022 update

    • Omicron Hospitality and Leisure Grant (OHLG)
    • Additional Restrictions Grant (ARG)

    31 July 2021 update

    • Local Restrictions Support Grant (LRSG): (Open)
    • Local Restrictions Support Grant (LRSG): (Closed)
    • Additional Restrictions Grant (ARG)
    • Christmas Support Payment (CSP)
    • Restart

    The ARG scheme is open for payments until 31 March 2022 and following the closure of this scheme a final update to the data will be published.

    5 July 2020 update

    • Small Business Grants Fund (SBGF) scheme
    • Retail, Hospitality and Leisure Business Grants Fund (RHLGF)
    • Local Authority Discretionary Grant Fund (LADGF)
  15. Business Impact of COVID-19 Survey (BICS) results

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 19, 2020
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    Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) results [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybicsresults
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 19, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  16. H

    COVID-19 Outcomes for Immigrants in the United States Restaurant Industry

    • dataverse.harvard.edu
    Updated Sep 5, 2021
    + more versions
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    Jeremy Green (2021). COVID-19 Outcomes for Immigrants in the United States Restaurant Industry [Dataset]. http://doi.org/10.7910/DVN/IUQWXM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 5, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Jeremy Green
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    COVID-19 Outcomes for Immigrants in the United States Restaurant Industry

  17. Granger causality test results (December 31, 2018-April, 30, 2020).

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan (2023). Granger causality test results (December 31, 2018-April, 30, 2020). [Dataset]. http://doi.org/10.1371/journal.pone.0255819.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Yechiam Aharon; Arie Jacobi; Eli Cohen; Joseph Tzur; Mahmoud Qadan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Granger causality test results (December 31, 2018-April, 30, 2020).

  18. Chmura COVID-19 Economic Vulnerability Index (CVI) for US Counties

    • hub.arcgis.com
    • covid-hub.gio.georgia.gov
    Updated Mar 24, 2020
    + more versions
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    Esri Business Industry Team (2020). Chmura COVID-19 Economic Vulnerability Index (CVI) for US Counties [Dataset]. https://hub.arcgis.com/maps/984ef92819554a12b83a8ca7a8835345
    Explore at:
    Dataset updated
    Mar 24, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Business Industry Team
    Area covered
    Description

    What is the COVID-19 Economic Vulnerability Index?The COVID-19 Vulnerability Index (CVI) is a measurement of the negative impact that the coronavirus (COVID-19) crisis can have on employment based upon a region's mix of industries. For example, accommodation and food services are projected to lose more jobs as a result of the coronavirus (in the neighborhood of 50%) compared with utilities and healthcare (with none or little expected job contraction).This updated dataset contains 116 jobs attributes including the 10 most likely jobs to be impacted for each county, the total employment and employment by sector. An attribute list is included below.An average Vulnerability Index score is 100, representing the average job loss expected in the United States. Higher scores indicate the degree to which job losses may be greater — an index score of 200, for example, means the rate of job loss can be twice as large as the national average. Conversely, an index score of 50 would mean a possible job loss of half the national average. Regions heavily dependent on tourism with relatively high concentrations of leisure and hospitality jobs, for example, are likely to have high index scores. The Vulnerability Index only measures the impact potential related to the mix of industry employment. The index does not take into account variation due to a region’s rate of virus infection, nor does it factor in local government's policies in reaction to the virus. For more detail, please see this description.MethodologyThe index is based on a model of potential job losses due to the COVID-19 outbreak in the United States. Expected employment losses at the subsector level are based upon inputs which include primary research on expert testimony; news reports for key industries such as hotels, restaurants, retail, and transportation; preliminary release of unemployment claims; and the latest job postings data from Chmura's RTI database. The forecast model, based on conditions as of March 23, 2020, assumes employment in industries in each county/region would change at a similar rate as employment in national industries. The projection estimates that the United States could lose 15.0 million jobs due to COVID-19, with over half of the jobs lost in hotels, food services, and entertainment industries. Contact Chmura for further details.Attribute ListFIPSCounty NameStateTotal JobsWhite Collar JobsBlue Collar JobsService JobsWhite Collar %Blue Collar %Service %Government JobsGovernment %Primarily Self-Employed JobsPrimarily Self-Employed %Job Change, Last Ten YearsIndustry 1 NameIndustry 1 EmplIndustry 1 %Industry 2 NameIndustry 2 EmplIndustry 2 %Industry 3 NameIndustry 3 EmplIndustry 3 %Industry 4 NameIndustry 4 EmplIndustry 4 %Industry 5 NameIndustry 5 EmplIndustry 5 %Industry 6 NameIndustry 6 EmplIndustry 6 %Industry 7 NameIndustry 7 EmplIndustry 7 %Industry 8 NameIndustry 8 EmplIndustry 8 %Industry 9 NameIndustry 9 EmplIndustry 9 %Industry 10 NameIndustry 10 EmplIndustry 10 %All Other IndustriesAll Other Industries EmplAll Other Industies %Agriculture, Food & Natural Resources EmplArchitecture and Construction EmplArts, A/V Technology & Communications EmplBusiness, Management & Administration EmplEducation & Training EmplFinance EmplGovernment & Public Administration EmplHealth Science EmplHospitality & Tourism EmplHuman Services EmplInformation Technology EmplLaw, Public Safety, Corrections & Security EmplManufacturing EmplMarketing, Sales & Service EmplScience, Technology, Engineering & Mathematics EmplTransportation, Distribution & Logistics EmplAgriculture, Food & Natural Resources %Architecture and Construction %Arts, A/V Technology & Communications %Business, Management & Administration %Education & Training %Finance %Government & Public Administration %Health Science %Hospitality & Tourism %Human Services %Information Technology %Law, Public Safety, Corrections & Security %Manufacturing %Marketing, Sales & Service %Science, Technology, Engineering & Mathematics %Transportation, Distribution & Logistics %COVID-19 Vulnerability IndexAverage Wages per WorkerAvg Wages Growth, Last Ten YearsUnemployment RateUnderemployment RatePrime-Age Labor Force Participation RateSkilled Career 1Skilled Career 1 EmplSkilled Career 1 Avg Ann WagesSkilled Career 2Skilled Career 2 EmplSkilled Career 2 Avg Ann WagesSkilled Career 3Skilled Career 3 EmplSkilled Career 3 Avg Ann WagesSkilled Career 4Skilled Career 4 EmplSkilled Career 4 Avg Ann WagesSkilled Career 5Skilled Career 5 EmplSkilled Career 5 Avg Ann WagesSkilled Career 6Skilled Career 6 EmplSkilled Career 6 Avg Ann WagesSkilled Career 7Skilled Career 7 EmplSkilled Career 7 Avg Ann WagesSkilled Career 8Skilled Career 8 EmplSkilled Career 8 Avg Ann WagesSkilled Career 9Skilled Career 9 EmplSkilled Career 9 Avg Ann WagesSkilled Career 10Skilled Career 10 EmplSkilled Career 10 Avg Ann Wages

  19. Coronavirus impact expectations on KPIs in the hotel industry in Italy H1...

    • statista.com
    Updated Sep 1, 2020
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    Statista (2020). Coronavirus impact expectations on KPIs in the hotel industry in Italy H1 2020 [Dataset]. https://www.statista.com/statistics/1170518/coronavirus-impact-expectations-on-kpis-in-the-hotel-industry-in-italy/
    Explore at:
    Dataset updated
    Sep 1, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1, 2020 - Jun 14, 2020
    Area covered
    Italy
    Description

    The coronavirus (COVID-19) pandemic hit hardly the tourism industry worldwide, as several countries had to impose national lockdowns and restrict non-essential travels in order to limit the spread of the outbreak. In Italy, according to a survey involving ** hotel facilities, it is expected a dramatic percentage decrease in the hotel industry's main KPIs as of the first half of 2020, compared to the same period of 2019. For instance, roughly half of the respondents estimated that the total revenues of their hotels will drop by over ** percent in the first half of 2020. Similar expectations related to the occupancy rate, while half of the survey sample believed that the average daily rate will go down by at least ** percent.

  20. g

    Economic Development - COVID-19 Business Support Grant Payment Outcomes |...

    • gimi9.com
    Updated Jul 1, 2025
    + more versions
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    (2025). Economic Development - COVID-19 Business Support Grant Payment Outcomes | gimi9.com [Dataset]. https://gimi9.com/dataset/au_9qtv-yi86/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Description

    This dataset contains payment amounts for Business Support Grants initial, extension, Top-Up or Tourism, Accommodation Provider, Arts and Events, Hospitality and Fitness (TAPAEHF) payments. Payments were made in FY2021-2022 as part of the ACT Government COVID-19 response.

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Statista, Impact of COVID-19 on bar and restaurant footfall in the UK Feb-Mar 2020 [Dataset]. https://www.statista.com/statistics/1110280/coronavirus-hospitality-footfall-united-kingdom-uk/
Organization logo

Impact of COVID-19 on bar and restaurant footfall in the UK Feb-Mar 2020

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 20, 2020 - Mar 20, 2020
Area covered
United Kingdom
Description

As the coronavirus (COVID-19) outbreak hit the United Kingdom, footfall to bars and restaurants declined. Across the hospitality sector on March 20, 2020, there had been a 58 percent decline in footfall in the last seven days compared to the same seven days in 2019. Bars, pubs and restaurants were ordered to close to visitors on March 20.

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