100+ datasets found
  1. Daily year-on-year impact of COVID-19 on global restaurant dining 2020-2022

    • statista.com
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    Statista, Daily year-on-year impact of COVID-19 on global restaurant dining 2020-2022 [Dataset]. https://www.statista.com/statistics/1103928/coronavirus-restaurant-visitation-impact/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global restaurant industry was seriously impacted by the coronavirus (COVID-19) pandemic. Social distancing measures and general caution towards public places caused many consumers to dine out less. According to the source, the year-over-year change of seated diners in restaurants worldwide, compared to 2019, was **** percent on August 1, 2022. Has the global online food delivery sector grown due to COVID-19? The market size of the global online food delivery sector was estimated to total ***** billion U.S. dollars in 2022, a figure that is forecast to grow to over *** billion U.S. dollars by 2027. Due to the coronavirus (COVID-19) pandemic, and a subsequent lack of in-house dining, worldwide digital restaurant food delivery grew across various countries from 2019 to 2020. Digital delivery services are defined as meals or snacks ordered via mobile app, internet, or text message. In total, digital restaurant delivery increased ** percent globally, with the United States increasing the most at *** percent. What is the leading restaurant chain worldwide? When looking at the global restaurant landscape, the majority of the biggest brands are quick service restaurants (QSRs). In a 2021 ranking of the most valuable quick service brands worldwide, McDonald's came out on top, reaching a brand value of ***** billion U.S. dollars. Meanwhile, Starbucks was a not so close second place, at approximately **** billion U.S. dollars.

  2. Daily year-on-year impact of COVID-19 on U.S. restaurant dining 2020-2022

    • statista.com
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    Statista, Daily year-on-year impact of COVID-19 on U.S. restaurant dining 2020-2022 [Dataset]. https://www.statista.com/statistics/1104362/coronavirus-restaurant-visitation-impact-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic caused the United States' restaurant industry to take a huge hit. Due to measures of social distancing and general caution in public places, consumers were forced to dine out less. According to the source, the year-over-year change of seated diners in restaurants in the U.S., compared to 2019, dropped **** percent on August 1, 2022.

  3. U.S. State and Territorial Orders Closing and Reopening Restaurants Issued...

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Jun 28, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day [Dataset]. https://catalog.data.gov/dataset/u-s-state-and-territorial-orders-closing-and-reopening-restaurants-issued-from-march-11-20-5299c
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance. Data were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

  4. Impact of COVID-19 on online restaurant delivery market share in the U.S....

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Impact of COVID-19 on online restaurant delivery market share in the U.S. 2020-2025 [Dataset]. https://www.statista.com/statistics/1170614/online-food-delivery-share-us-coronavirus/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    The coronavirus pandemic brought major changes to dining behaviors among restaurant-goers in the United States. Restaurant closures and social distancing measures resulted in an increasing demand for online food delivery, both directly through a restaurant's website or using a third-party delivery service. In 2020, the online restaurant delivery sector's share of the restaurant market was predicted to be ** percent, before the pandemic this figure was forecast at **** percent. The post-coronavirus market share was expected to rise as much as ** percent in 2025.

  5. Daily impact of COVID-19 on restaurant dining in the UK 2020-2022

    • statista.com
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    Statista, Daily impact of COVID-19 on restaurant dining in the UK 2020-2022 [Dataset]. https://www.statista.com/statistics/1104991/coronavirus-restaurant-visitation-impact-united-kingdom-uk/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The coronavirus (COVID-19) pandemic caused the United Kingdom's (UK) restaurant industry to take a huge hit. Due to measures of social distancing and general caution in public places, consumers were forced to dine out less. According to the source, the year-over-year change of seated diners in restaurants in the UK, compared to 2019, was 19.50 percent on August 1, 2022.

  6. f

    Table_1_Exploring restaurant and customer needs, barriers, interests, and...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated May 30, 2023
    + more versions
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    Maria Besora-Moreno; Judit Queral; Silvia Torres; Elisabet Llauradó; Lucia Tarro; Rosa Solà (2023). Table_1_Exploring restaurant and customer needs, barriers, interests, and food choices induced by the COVID-19 pandemic in Tarragona Province (Catalonia, Spain): A cross-sectional study.doc [Dataset]. http://doi.org/10.3389/fpubh.2023.1137512.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Maria Besora-Moreno; Judit Queral; Silvia Torres; Elisabet Llauradó; Lucia Tarro; Rosa Solà
    License

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

    Area covered
    Spain, Tarragona, Catalonia
    Description

    BackgroundCOVID-19 has harmed restaurants, but customer preferences remain unknown. This study aims to determine the needs, barriers, interests, and food choice changes in restaurants and customers before and during the COVID-19 pandemic in Tarragona Province (Spain).MethodsAn observational cross-sectional study conducted in spring 2021 collected Mediterranean offerings, food safety, and hygiene information about the pandemic through online surveys and focus group interviews with restaurateurs and customers about the changes in their needs and new barriers.ResultsFifty-one restaurateurs (44 survey, 7 focus group) and 138 customers (132 survey, 6 focus group) were included. In relation to the economic, emotional, and uncertainty restaurateurs’ barriers detected, they implemented measures to tackle it: buy less and more often, reduce restaurant staff and reduce the restaurants offer, among others. Some customers reported changes in their restaurant orders, specifically increasing their takeaway orders. The Mediterranean diet offer (AMed criteria) remained without noticeable changes in any of the criteria. After lockdown, compared to before lockdown, restaurateurs increased their takeaway offerings by 34.1% (p 

  7. 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.

  8. For Restaurants in 2020, Bigger is Better

    • ibisworld.com
    Updated Nov 30, 2020
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    IBISWorld (2020). For Restaurants in 2020, Bigger is Better [Dataset]. https://www.ibisworld.com/blog/for-restaurants-in-2020-bigger-is-better/1/1126/
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    Dataset updated
    Nov 30, 2020
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Nov 30, 2020
    Description

    In this article, IBISWorld analyst Jeremy Moses dives into trends within the restaurant sector amid the COVID-19 pandemic.

  9. U.S. public interest in going to a restaurant post COVID-19 as of March 2021...

    • statista.com
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    Statista, U.S. public interest in going to a restaurant post COVID-19 as of March 2021 [Dataset]. https://www.statista.com/statistics/1230930/public-interest-in-going-to-a-restaurant-post-covid-19-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 18, 2021 - Mar 21, 2021
    Area covered
    United States
    Description

    In March 2021, adults in the United States expressed a strong interest in going to a restaurant once the coronavirus (COVID-19) pandemic was under control. Of the respondents surveyed, ** percent stated that they were "very excited" about the opportunity to go to a restaurant and only *** percent said that they were "not excited at all."

    When will U.S. adults feel comfortable going out to eat again?

    Although a significant number of adults in the United States expressed interest in revisiting restaurants after the coronavirus pandemic was under control, restaurant dining remained less common. From March 2020 onwards, the year-over-year daily change in seated U.S. restaurant diners showed a consistent decline over pre-pandemic levels in 2019.

    Online food delivery during the COVID-19 pandemic

    The coronavirus pandemic generated lockdown measures which made it harder for diners to eat inside restaurants. Subsequently, many diners in the United States ordered food online or through apps during the pandemic. During an ********** survey looking at the share of the U.S. public that ordered food online, by age, 18- to 29-year-old adults were the most likely to do so. Meanwhile, in the same month, the type of area where the U.S. public ordered the most food online was suburbia.

  10. a

    COVID-19 information : guidance for restaurants, cafes, pubs, and bars -...

    • open.alberta.ca
    + more versions
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    COVID-19 information : guidance for restaurants, cafes, pubs, and bars - Open Government [Dataset]. https://open.alberta.ca/dataset/covid-19-information-guidance-for-restaurants-cafes-pubs-and-bars
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    Description

    Provides public health guidance to support operators in reducing the risk of transmission of COVID-19 among guests and workers in restaurants, cafes, pubs and bars. NOTE: Translations are available in the Related tab for previous versions.

  11. O

    Open and Closed Businesses During Covid-19 Pandemic 7/1/2021

    • data.cambridgema.gov
    csv, xlsx, xml
    Updated Jul 4, 2021
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    (2021). Open and Closed Businesses During Covid-19 Pandemic 7/1/2021 [Dataset]. https://data.cambridgema.gov/w/9q33-qjp4/t8rt-rkcd?cur=wX0jd_MbN7x
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Jul 4, 2021
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This dataset is no longer being updated as of 7/1/2021. It is being retained on the Open Data Portal for its potential historical interest.

    A list of retail stores, restaurants, personal services and other businesses open and closed during the COVID-19 pandemic. Also indicates if business is offering delivery, pick up or on-line sales.

    Updated at least biweekly during Covid-19 Pandemic.

  12. Restaurant quality data

    • figshare.com
    xlsx
    Updated Nov 5, 2021
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    gerald burch (2021). Restaurant quality data [Dataset]. http://doi.org/10.6084/m9.figshare.16942891.v1
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    xlsxAvailable download formats
    Dataset updated
    Nov 5, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    gerald burch
    License

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

    Description

    dataset for restaurants

  13. T

    COVID-19 Restaurant Rally

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    csv, xlsx, xml
    Updated Jan 25, 2021
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    Pierce County Finance Department (2021). COVID-19 Restaurant Rally [Dataset]. https://internal.open.piercecountywa.gov/dataset/COVID-19-Restaurant-Rally/bqza-t9cn
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jan 25, 2021
    Dataset authored and provided by
    Pierce County Finance Department
    Description

    This dataset contains information on applications

  14. H

    Effects of COVID-19 State Restaurant Policies on Immigrant Restaurant Worker...

    • dataverse.harvard.edu
    • datasetcatalog.nlm.nih.gov
    Updated Sep 5, 2021
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    Jeremy Green (2021). Effects of COVID-19 State Restaurant Policies on Immigrant Restaurant Worker Outcomes [Dataset]. http://doi.org/10.7910/DVN/3JZQYJ
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    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

    Description

    Effects of COVID-19 State Restaurant Policies on Immigrant Restaurant Worker Outcomes

  15. Casual dining restaurants' employee count change during COVID-19 in the U.S....

    • statista.com
    Updated Jan 15, 2021
    + more versions
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    Statista (2021). Casual dining restaurants' employee count change during COVID-19 in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1212197/coronavirus-change-in-staff-levels-at-casual-dining-restaurants/
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    Dataset updated
    Jan 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 17, 2020 - Nov 30, 2020
    Area covered
    United States
    Description

    The coronavirus (COVID-19) pandemic hit the restaurant industry hard in 2020. During a ************* survey in the United States, ** percent of casual dining restaurant operators stated that their staff levels were reduced to over ** percent below normal. Contrastingly, ** percent noted that their staff levels were at or above normal when asked.

  16. d

    COVID in Boston Database User Guide

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 23, 2023
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    Boston Area Research Initiative, BARI (2023). COVID in Boston Database User Guide [Dataset]. http://doi.org/10.7910/DVN/TDKDJJ
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    Dataset updated
    Nov 23, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Boston Area Research Initiative, BARI
    Area covered
    Boston
    Description

    This dataset contains the user guide to BARI's COVID in Boston Database, a multisource database that comprehensively captures how the dynamics of Boston shifted before, during, and after the shutdown in response to the pandemic. This database has been developed with funding support from from Northeastern University's COVID-19 Crisis Seed Funding, and builds on previous funding from the National Science Foundation. Click "Metadata" below to view links to the individual datasets that compose the database.

  17. Restaurant Revitalization Fund (RRF) FOIA

    • catalog.data.gov
    • datasets.ai
    Updated Feb 14, 2023
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    Small Business Administration (2023). Restaurant Revitalization Fund (RRF) FOIA [Dataset]. https://catalog.data.gov/dataset/restaurant-revitalization-fund-rrf-foia-54d07
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    Dataset updated
    Feb 14, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    SBA Coronavirus (COVID-19) Relief Options: Restaurant Revitalization Fund (RRF) Report and Data

  18. gmr_retail_eurostat_countries_monthly

    • figshare.com
    txt
    Updated May 31, 2023
    + more versions
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    Sándor Budai; Daniel Antal; Daniel Antal (2023). gmr_retail_eurostat_countries_monthly [Dataset]. http://doi.org/10.6084/m9.figshare.12923705.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Sándor Budai; Daniel Antal; Daniel Antal
    License

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

    Description

    This indicator shows how the number of visitors to retail and recreation places has changed relative to the period before the pandemic.

  19. 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

  20. S

    Sweden Business Survey: COVID-19 Effect: SO: Services: HR: Restaurants:...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Sweden Business Survey: COVID-19 Effect: SO: Services: HR: Restaurants: Response Rate [Dataset]. https://www.ceicdata.com/en/sweden/business-survey-covid19-effect-seizing-operations/business-survey-covid19-effect-so-services-hr-restaurants-response-rate
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 9, 2020 - Aug 11, 2021
    Area covered
    Sweden
    Variables measured
    Business Confidence Survey
    Description

    Sweden Business Survey: COVID-19 Effect: SO: Services: HR: Restaurants: Response Rate data was reported at 22.000 % in 11 Aug 2021. This records a decrease from the previous number of 26.000 % for 15 Jul 2021. Sweden Business Survey: COVID-19 Effect: SO: Services: HR: Restaurants: Response Rate data is updated daily, averaging 28.000 % from May 2020 (Median) to 11 Aug 2021, with 19 observations. The data reached an all-time high of 38.000 % in 26 Aug 2020 and a record low of 19.000 % in 12 May 2021. Sweden Business Survey: COVID-19 Effect: SO: Services: HR: Restaurants: Response Rate data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S009: Business Survey: COVID-19 Effect: Seizing Operations (Discontinued).

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Statista, Daily year-on-year impact of COVID-19 on global restaurant dining 2020-2022 [Dataset]. https://www.statista.com/statistics/1103928/coronavirus-restaurant-visitation-impact/
Organization logo

Daily year-on-year impact of COVID-19 on global restaurant dining 2020-2022

Explore at:
37 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

The global restaurant industry was seriously impacted by the coronavirus (COVID-19) pandemic. Social distancing measures and general caution towards public places caused many consumers to dine out less. According to the source, the year-over-year change of seated diners in restaurants worldwide, compared to 2019, was **** percent on August 1, 2022. Has the global online food delivery sector grown due to COVID-19? The market size of the global online food delivery sector was estimated to total ***** billion U.S. dollars in 2022, a figure that is forecast to grow to over *** billion U.S. dollars by 2027. Due to the coronavirus (COVID-19) pandemic, and a subsequent lack of in-house dining, worldwide digital restaurant food delivery grew across various countries from 2019 to 2020. Digital delivery services are defined as meals or snacks ordered via mobile app, internet, or text message. In total, digital restaurant delivery increased ** percent globally, with the United States increasing the most at *** percent. What is the leading restaurant chain worldwide? When looking at the global restaurant landscape, the majority of the biggest brands are quick service restaurants (QSRs). In a 2021 ranking of the most valuable quick service brands worldwide, McDonald's came out on top, reaching a brand value of ***** billion U.S. dollars. Meanwhile, Starbucks was a not so close second place, at approximately **** billion U.S. dollars.

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