100+ datasets found
  1. u

    Comprehensive Restaurant Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Dec 15, 2023
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    Upmetrics (2023). Comprehensive Restaurant Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/restaurant-industry-statistics
    Explore at:
    webpageAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Upmetrics
    License

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

    Time period covered
    2024
    Description

    An insightful analysis of the restaurant industry, covering key statistics on market trends, customer demographics, popular cuisines, technological advancements, impact of online delivery services, and future projections for the restaurant sector.

  2. Restaurant industry food and drink sales in the U.S. 1970-2017

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Restaurant industry food and drink sales in the U.S. 1970-2017 [Dataset]. https://www.statista.com/statistics/203358/food-and-drinks-sales-of-us-restaurants-since-1970/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the restaurant industry food and drink sales in the United States from 1970 to 2017. In 2016, food and drink sales of the U.S. restaurant industry amounted to approximately *** billion U.S. dollars.

    More statistics and facts on fast food, the U.S. restaurant industry and the pizza (delivery) market.

    U.S. restaurant industry - additional information

    In 2016, food and drink sales in the United States restaurant industry amounted to *** billion U.S. dollars, up from ***** billion U.S. dollars in the previous year. Restaurants in the United States have created a booming industry that employed more than ** million people nationwide in 2015.

    Unsurprisingly, the majority of food and drink sales in the U.S. restaurant industry take place in commercial restaurants. In 2016, full-service restaurant sales amounted to *** billion U.S. dollars and limited-service sales were *** U.S. dollars. The second largest contributor in 2015 was retail, vending, recreation and mobile vendors with sales of ***** billion U.S. dollars. The smallest proportion came from came from bars and taverns.

    As of December 2016, things were still looking up for the U.S. restaurant industry: the monthly Restaurant Industry Tracking Survey, conducted by the National Restaurant Association, recorded a performance index score of ***** – any score over 100 indicates a period of expansion. The lowest performance index score between 2011 and 2017, ****, was recorded in August 2011. In November 2016, ** percent of U.S. consumers reported that cheaper restaurants would make them dine out more often.

  3. b

    Comprehensive Restaurant Industry Statistics and Trends for 2025

    • bizplanr.ai
    html
    Updated Feb 14, 2025
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    Bizplanr (2025). Comprehensive Restaurant Industry Statistics and Trends for 2025 [Dataset]. https://bizplanr.ai/blog/restaurant-industry-statistics
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Bizplanr
    License

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

    Time period covered
    2025
    Area covered
    Global
    Description

    A broad dataset providing insights into restaurant industry statistics and trends for 2025, covering market size, growth rate, employment figures, revenue, and more.

  4. Number of restaurants in Mexico 2003-2024

    • statista.com
    Updated Jul 15, 2024
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    Statista (2024). Number of restaurants in Mexico 2003-2024 [Dataset]. https://www.statista.com/statistics/722187/number-restaurant-establishments-mexico/
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    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In 2024, there were more than *** thousand restaurant establishments in Mexico, which represents a slight increase versus the previous year. The State of Mexico registered the highest number of such food premises.

  5. Restaurant industry performance index in the U.S. 2011-2023, by month

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Restaurant industry performance index in the U.S. 2011-2023, by month [Dataset]. https://www.statista.com/statistics/214747/us-restaurant-performance-index/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In September 2023, the U.S. restaurant industry received a performance index score of 100.4. One year prior, the industry received an index score of 101. The restaurant industry performance index is a statistical barometer measuring the overall health of the U.S. restaurant industry. The index is based on the results of the monthly Restaurant Industry Tracking Survey composed of a variety of indicators including sales, traffic, labor and capital expenditures. A value above 100 indicates a period of expansion while a value below 100 indicates a period of contraction.

  6. l

    Restaurant Database (2025) | List of USA Restaurants

    • leadsdeposit.com
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    Restaurant Database (2025) | List of USA Restaurants [Dataset]. https://leadsdeposit.com/restaurant-database/
    Explore at:
    License

    https://leadsdeposit.com/restaurant-database/https://leadsdeposit.com/restaurant-database/

    Description

    Dataset of 700,000 restaurants in the United States complete with detailed contact and geolocation data. The database includes multiple data points such as restaurant name, address, phone number, website, email, opening hours, latitude, longitude, and cuisine.

  7. d

    Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes |...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 20, 2025
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    xavvy (2025). Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes | monthly updates | API & Datasets [Dataset]. https://datarade.ai/data-products/restaurants-fast-food-usa-top-25-200k-pois-with-30-att-xavvy
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    xavvy
    Area covered
    United States
    Description

    Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for restaurants and quick-service establishments in the United States.

    Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ... ^

    30+ Services • Delivery • Wifi • ChargePoints • …

    10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

    Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

    Brands included: • McDonalds • Burger King • Subway • KFC • Wendy's • ...

    The total number of restaurants per region, market share distribution among competitors, or the ideal location for new branches – our restaurant data provides valuable insights into the food service market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

    Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

    Integrate the most comprehensive database of restaurant locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

  8. F

    All Employees: Leisure and Hospitality: Limited-Service Restaurants and...

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
    + more versions
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    All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in Colorado [Dataset]. https://fred.stlouisfed.org/series/SMU08000007072259001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Colorado
    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in Colorado (SMU08000007072259001SA) from Jan 2003 to May 2025 about restaurant, leisure, hospitality, CO, food, services, employment, and USA.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). 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 updated
    Jun 27, 2025
    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.

  10. Fast Food Restaurants in the US

    • ibisworld.com
    Updated May 15, 2025
    + more versions
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    IBISWorld (2025). Fast Food Restaurants in the US [Dataset]. https://www.ibisworld.com/industry-statistics/number-of-businesses/fast-food-restaurants-united-states/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2031
    Description

    Number of Businesses statistics on the Fast Food Restaurants industry in United States

  11. d

    Restaurant Data | All Top Restaurant and Food Store Locations in US and...

    • datarade.ai
    Updated Nov 23, 2023
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    Xtract (2023). Restaurant Data | All Top Restaurant and Food Store Locations in US and Canada | Accurate Points of Interest Data [Dataset]. https://datarade.ai/data-products/poi-data-restaurants-data-us-xtract
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Xtract.io's comprehensive location data for restaurants and food stores offers a detailed view of the retail food landscape. Retail strategists, market researchers, and business developers can utilize this dataset to analyze market distribution, identify emerging trends, and develop targeted expansion strategies across the food retail sector.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  12. F

    All Employees: Leisure and Hospitality: Limited-Service Restaurants and...

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
    + more versions
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    (2025). All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California [Dataset]. https://fred.stlouisfed.org/series/SMU06000007072259001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California (SMU06000007072259001SA) from Jan 1990 to May 2025 about restaurant, leisure, hospitality, food, CA, services, employment, and USA.

  13. N

    restaurant data set 2

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Jul 1, 2025
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    Department of Health and Mental Hygiene (DOHMH) (2025). restaurant data set 2 [Dataset]. https://data.cityofnewyork.us/Health/restaurant-data-set-2/f6tk-2b7a
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    application/rdfxml, csv, application/rssxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Description

    This dataset provides restaurant inspections, violations, grades and adjudication information

  14. F

    All Employees: Leisure and Hospitality: Limited-Service Restaurants and...

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
    + more versions
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    (2025). All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in New York City, NY [Dataset]. https://fred.stlouisfed.org/series/SMU36935617072259001A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    New York, New York
    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in New York City, NY (SMU36935617072259001A) from 1990 to 2024 about restaurant, leisure, hospitality, New York, NY, food, services, employment, and USA.

  15. Summary statistics for food services and drinking places (all...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Summary statistics for food services and drinking places (all establishments), by North American Industry Classification System (NAICS), inactive [Dataset]. https://open.canada.ca/data/en/dataset/e98e107b-0c91-49d6-b1b0-213dd1949492
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 375 series, with data for years 1998 - 2001 (not all combinations necessarily have data for all years), and was last released on 2008-09-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), North American Industry Classification System (NAICS) (5 items: Food services and drinking places; Special food services; Full-service restaurants; Limited-service eating places ...), Summary statistics (5 items: Operating revenue; Operating profit margin; Salaries; wages and benefits; Operating expenses ...).

  16. F

    All Employees: Leisure and Hospitality: Restaurants and Other Eating Places...

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
    + more versions
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    (2025). All Employees: Leisure and Hospitality: Restaurants and Other Eating Places in Chicago-Naperville-Arlington Heights, IL (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU17169747072250001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Chicago, Arlington Heights, Naperville, Illinois
    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Restaurants and Other Eating Places in Chicago-Naperville-Arlington Heights, IL (MD) (SMU17169747072250001) from Jan 1990 to Dec 2024 about restaurant, leisure, hospitality, services, employment, and USA.

  17. Food services and drinking places, summary statistics

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 18, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Food services and drinking places, summary statistics [Dataset]. http://doi.org/10.25318/2110017101-eng
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of food services and drinking places (NAICS 722), annual, for five years of data.

  18. Global Restaurant Data | Menus from top 1M+ Restaurants with Prices

    • datarade.ai
    Updated Jan 24, 2025
    + more versions
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    MealMe (2025). Global Restaurant Data | Menus from top 1M+ Restaurants with Prices [Dataset]. https://datarade.ai/data-products/restaurant-menu-data-from-top-100000-restaurants-with-prices-mealme
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    MealMe, Inc.
    Authors
    MealMe
    Area covered
    Macao, Botswana, Guatemala, Cameroon, Libya, Namibia, Benin, Somalia, Réunion, Indonesia
    Description

    MealMe offers in-depth restaurant menu data, including prices, from the top 100,000 restaurants across the USA and Canada. Our proprietary technology collects accurate, real-time menu and pricing information, enabling businesses to make data-driven decisions in competitive intelligence, pricing optimization, and market research. With comprehensive coverage that spans major restaurant platforms and chains, MealMe ensures your business has access to the most reliable data to excel in a rapidly evolving industry.

    Platforms and Restaurants Covered: MealMe's database includes data from leading restaurant platforms such as UberEats, Postmates, ToastTakeout, SkipTheDishes, Square, Appfront, Olo, TouchBistro, and Clover, as well as direct menu data from major restaurant chains including Raising Cane’s, Panda Express, Popeyes, Burger King, and Subway. This extensive coverage ensures a detailed view of the market, helping businesses monitor trends, pricing, and availability across a broad spectrum of restaurant types and sizes.

    Key Features: Comprehensive Menu Data: Access detailed menu information, including item descriptions, categories, sizes, and customizations. Real-Time Pricing: Monitor up-to-date menu prices for accurate competitive analysis. Restaurant-Specific Insights: Analyze individual restaurant chains such as Raising Cane’s and Panda Express, or platforms like UberEats, for market trends and pricing strategies. Cross-Platform Analysis: Compare menu items and pricing across platforms like ToastTakeout, Olo, and SkipTheDishes for a holistic industry view. Regional Data: Understand geographic variations in menu offerings and pricing across the USA and Canada.

    Use Cases: Competitive Intelligence: Track menu offerings, pricing strategies, and seasonal trends across platforms like UberEats and Postmates or chains like Popeyes and Subway. Market Research: Identify gaps in the market by analyzing menus and pricing from top restaurants. Pricing Optimization: Use real-time pricing data to inform dynamic pricing strategies and promotions. Trend Monitoring: Stay ahead by tracking popular menu items, regional preferences, and emerging food trends. Platform Analysis: Assess how restaurants perform across delivery platforms such as SkipTheDishes, Olo, and Square. Industries Benefiting from Our Data Restaurant Chains: Optimize menu offerings and pricing strategies with detailed competitor data. Food Delivery Platforms: Benchmark menu pricing and availability across competitive platforms. Market Research Firms: Conduct detailed analyses to identify opportunities and market trends. AI & Analytics Companies: Power recommendation engines and predictive models with robust menu data. Consumer Apps: Enhance app experiences with accurate menu and pricing data. Data Delivery and Integration

    MealMe offers flexible integration options to ensure seamless access to our comprehensive menu data. Whether you need bulk exports for in-depth research or real-time updates via API, our solutions are designed to scale with your business needs.

    Why Choose MealMe? Extensive Coverage: Menu data from 100,000+ restaurants, including major chains like Burger King and Raising Cane’s. Real-Time Accuracy: Up-to-date pricing and menu details for actionable insights. Customizable Solutions: Tailored datasets to meet your specific business objectives. Proven Expertise: Trusted by top companies for delivering reliable, actionable data. MealMe empowers businesses with the data needed to thrive in a competitive restaurant and food delivery market. For more information or to request a demo, contact us today!

  19. d

    Global Bar & Restaurant Data | Point of Interest (POI) & Foot Traffic Data |...

    • datarade.ai
    .json, .csv
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    dataplor, Global Bar & Restaurant Data | Point of Interest (POI) & Foot Traffic Data | 31M+ Locations [Dataset]. https://datarade.ai/data-products/global-bar-restaurant-data-31m-businesses-250-countrie-dataplor
    Explore at:
    .json, .csvAvailable download formats
    Dataset authored and provided by
    dataplor
    Area covered
    American Samoa, Réunion, Guyana, Ireland, Paraguay, Palau, Thailand, Qatar, Malta, Nicaragua
    Description

    In the fast-paced world of hospitality, data is essential for success. Our Global Bar & Restaurant POI database offers in-depth information on the locations of the world's top bars and restaurants, providing businesses with a powerful tool for strategic decision-making. Whether you're a restaurant chain, a marketing agency, or a hospitality researcher, our Global Bar & Restaurant database is a valuable resource for making informed decisions.

    What You'll Find in the Database:

    • Precise Location Data: Full address, geographic coordinates, and neighborhood details for each establishment.

    -Visitation Metrics: GDPR-compliant, non-PII foot traffic insights to help you identify the best locations for your next opening.

    • Establishment Information: Official name, unique identifier, and type of establishment (bar, restaurant, café, fast-food chain, etc.).

    • Operational Status: Whether the establishment is currently open or closed.

    • Date Established: Historical context for trend analysis.

    • Data Confidence Level: A rating indicating the accuracy of the information.

    How You Can Use This Database:

    • Market Analysis: Assess the distribution and density of bars and restaurants globally.

    • Site Selection: Identify promising locations for new establishments based on demographics, competition, and visitation metrics of nearby establishments.

    • Targeted Marketing: Reach customers near specific establishments with personalized offers.

    • Competitive Intelligence: Understand the landscape and identify rivals' strategies.

    • Supply Chain Optimization: Streamline logistics based on the distribution of your target establishments.

  20. F

    All Employees: Full-Service Restaurants in Washington-Arlington-Alexandria,...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2024
    + more versions
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    (2024). All Employees: Full-Service Restaurants in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD) [Dataset]. https://fred.stlouisfed.org/series/SMU11478947072251101A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    West Virginia, Washington Metropolitan Area, Washington-Arlington-Alexandria, DC-VA-MD-WV
    Description

    Graph and download economic data for All Employees: Full-Service Restaurants in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD) (SMU11478947072251101A) from 1990 to 2023 about restaurant, services, employment, and USA.

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Upmetrics (2023). Comprehensive Restaurant Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/restaurant-industry-statistics

Comprehensive Restaurant Industry Statistics 2025

Explore at:
webpageAvailable download formats
Dataset updated
Dec 15, 2023
Dataset authored and provided by
Upmetrics
License

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

Time period covered
2024
Description

An insightful analysis of the restaurant industry, covering key statistics on market trends, customer demographics, popular cuisines, technological advancements, impact of online delivery services, and future projections for the restaurant sector.

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