Facebook
TwitterThe 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.
Facebook
TwitterThe 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.
Facebook
TwitterState 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.
Facebook
TwitterThe 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.
Facebook
TwitterThe 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
Facebook
TwitterThe 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.
Facebook
TwitterIn this article, IBISWorld analyst Jeremy Moses dives into trends within the restaurant sector amid the COVID-19 pandemic.
Facebook
TwitterIn 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.
Facebook
TwitterProvides 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.
Facebook
TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
dataset for restaurants
Facebook
TwitterThis dataset contains information on applications
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Effects of COVID-19 State Restaurant Policies on Immigrant Restaurant Worker Outcomes
Facebook
TwitterThe 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.
Facebook
TwitterThis 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.
Facebook
TwitterSBA Coronavirus (COVID-19) Relief Options: Restaurant Revitalization Fund (RRF) Report and Data
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This indicator shows how the number of visitors to retail and recreation places has changed relative to the period before the pandemic.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
COVID-19 Outcomes for Immigrants in the United States Restaurant Industry
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
Facebook
TwitterThe 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.