100+ datasets found
  1. Hourly wages of fast food cooks in the U.S. 2018-2024, by percentile...

    • statista.com
    Updated Sep 18, 2025
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    Statista Research Department (2025). Hourly wages of fast food cooks in the U.S. 2018-2024, by percentile distribution [Dataset]. https://www.statista.com/topics/863/fast-food/
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    Dataset updated
    Sep 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Cooks working in fast food restaurants in the United States had a median hourly wage of 14.50 U.S. dollars as of May 2024. Meanwhile, 10 percent of fast food cooks earned less than 10.76 U.S. dollars per hour.

  2. U.S. - average fast food consumption per week in 2016-2018

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. - average fast food consumption per week in 2016-2018 [Dataset]. https://www.statista.com/statistics/561297/us-average-fast-food-consumption-per-week/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in the United States between 2016 and 2018. In 2018, ***** percent of respondents in the United States stated they eat fast food less than once per week.

  3. d

    Allegheny County Fast Food Establishments

    • catalog.data.gov
    • data.wprdc.org
    • +3more
    Updated Mar 14, 2023
    + more versions
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    Allegheny County (2023). Allegheny County Fast Food Establishments [Dataset]. https://catalog.data.gov/dataset/allegheny-county-fast-food-establishments
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the County’s Fee and Permit System. A chain restaurant defined by the County is any restaurant that has more than one location in the County. Chain restaurants capture both local and national chains (including locally owned national chains) so long as there is one or more establishments in operation within the County.

  4. Fast Food Restaurants in the US

    • ibisworld.com
    Updated Sep 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/
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2006 - 2031
    Area covered
    United States
    Description

    Number of Businesses statistics on the Fast Food Restaurants industry in the US

  5. Frequency of eating fast food in a week Indonesia 2023

    • statista.com
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    Statista, Frequency of eating fast food in a week Indonesia 2023 [Dataset]. https://www.statista.com/statistics/1462237/indonesia-weekly-fast-food-consumption/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 31, 2023 - Feb 9, 2023
    Area covered
    Indonesia
    Description

    According to a survey on fast food conducted in Indonesia in February 2023, around ** percent of respondents stated that they ate fast food once a week. In comparison, *** percent of respondents said that they ate fast food more than ***** times a week.

  6. 🧑‍🍳 Fast Food Restaurants Across America

    • kaggle.com
    zip
    Updated Oct 2, 2023
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    mexwell (2023). 🧑‍🍳 Fast Food Restaurants Across America [Dataset]. https://www.kaggle.com/datasets/mexwell/fast-food-restaurants-across-america
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    zip(1786933 bytes)Available download formats
    Dataset updated
    Oct 2, 2023
    Authors
    mexwell
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This is a list of 10,000 fast food restaurants provided by Datafiniti's Business Database. The dataset includes the restaurant's address, city, latitude and longitude coordinates, name, and more.

    Note that this is a sample of a large dataset. The full dataset is available through Datafiniti.

    What You Can Do With This Data

    You can use this data to rank cities with the most and least fast food restaurants across the U.S. E.g.:

    • Cities with the most and least McDonald's per capita
    • Fast food restaurants per capita for all states
    • Fast food restaurants with the most locations nationally
    • Major cities with the most and least fast food restaurants per capita
    • Small cities with the most fast food restaurants per capita
    • States with the most and least fast food restaurants per capita
    • The number of fast food restaurants per capita

    Original Data

    Acknowlegement

    Foto von Haseeb Jamil auf Unsplash

  7. Key statistics on fast food consumption at QSRs Australia 2023

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Key statistics on fast food consumption at QSRs Australia 2023 [Dataset]. https://www.statista.com/statistics/1410117/australia-key-statistics-on-fast-food-consumption-at-quick-service-restaurants/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    Australia
    Description

    In a 2023 conducted survey among fast food consumers in Australia, just over ********* of respondents reported eating fast food at least once a week. Around ** percent of those surveyed said they get a meal deal with chips and a drink every time they eat at or order from a quick service restaurant (QSR).

  8. Japan - average fast food consumption per week in 2016-2018

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Japan - average fast food consumption per week in 2016-2018 [Dataset]. https://www.statista.com/statistics/561277/japan-average-fast-food-consumption-per-week/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in Japan between 2016 and 2018. In 2018, ***** percent of respondents in Japan stated they eat fast food less than once per week.

  9. Fast-Food Restaurant Chain

    • kaggle.com
    zip
    Updated Jun 9, 2024
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    Rishit Saraf (2024). Fast-Food Restaurant Chain [Dataset]. https://www.kaggle.com/datasets/rishitsaraf/fast-food-restaurant-chain
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    zip(6182605 bytes)Available download formats
    Dataset updated
    Jun 9, 2024
    Authors
    Rishit Saraf
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The dataset is provided by one of the largest fast-food restaurant chains in the US. It includes (1) transaction information such as menu items that were purchased and quantities of each item; (2) ingredient lists for individual menu items; (3) metadata on restaurants, including location, and store type. The data observation window is from early March, 2015 to 06/15/2015 and includes transactional data from 2 stores in Berkeley, CA and 2 stores in New York, NY.

  10. Fast Food Sales Data

    • kaggle.com
    zip
    Updated Jun 17, 2025
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    Matthew Bengtson (2025). Fast Food Sales Data [Dataset]. https://www.kaggle.com/datasets/matthewbengtson/historical-sales-data-for-fast-food-items
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    zip(1390 bytes)Available download formats
    Dataset updated
    Jun 17, 2025
    Authors
    Matthew Bengtson
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Matthew Bengtson

    Released under CC0: Public Domain

    Contents

  11. d

    Restaurant Data | McDonald's Fast-Food Restaurants Locations in US and...

    • datarade.ai
    Updated Jul 26, 2024
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    Xtract (2024). Restaurant Data | McDonald's Fast-Food Restaurants Locations in US and Canada | Comprehensive POI Coverage [Dataset]. https://datarade.ai/data-products/xtract-io-point-of-interest-poi-data-locations-data-a-xtract-acf6
    Explore at:
    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Xtract
    Area covered
    United States of America, Canada
    Description

    Xtract.io's comprehensive McDonald's location data provides a detailed view of the global fast-food chain's network. Restaurant investors, market researchers, and business analysts can utilize this dataset to analyze market penetration, identify expansion opportunities, and develop a sophisticated understanding of McDonald's geographical strategy.

    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. a

    Fast-food restaurants (% change), 2016-20

    • hub.arcgis.com
    Updated Sep 15, 2025
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    Economic Research Service (2025). Fast-food restaurants (% change), 2016-20 [Dataset]. https://hub.arcgis.com/datasets/USDAERS::restaurants25?layer=4
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Economic Research Service
    Area covered
    Description

    This service provides statistics relevant to food availability in restaurants. These data are organized into the two following groups:

    • Fast-food Restaurants

    • Full-service Restaurants

  13. Fast-food consumption frequency among Vietnamese residents 2023

    • statista.com
    Updated Jul 7, 2023
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    Statista (2023). Fast-food consumption frequency among Vietnamese residents 2023 [Dataset]. https://www.statista.com/statistics/1398959/vietnam-fast-food-consumption-frequency/
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 8, 2023 - May 10, 2023
    Area covered
    Vietnam
    Description

    According to a survey conducted in May 2023, ** percent of respondents confirmed that they consume fast food a few times a week. On the other hand, about ** percent of respondents claimed that they ate fast food every day.

  14. Top 50 Fast Food Chains Ranked 2024 🍟

    • kaggle.com
    Updated Dec 7, 2024
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    Muhammad Usama (2024). Top 50 Fast Food Chains Ranked 2024 🍟 [Dataset]. https://www.kaggle.com/datasets/itzusama/top-50-fast-food-chains-ranked-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 7, 2024
    Dataset provided by
    Kaggle
    Authors
    Muhammad Usama
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset features the 2024 rankings of the top 50 fast food chains, highlighting key metrics such as revenue, number of locations, market growth, and brand performance. Compiled from insights published on QSR Magazine, it provides a comprehensive view of the fast-food industry leaders, offering valuable data for market analysis, trend identification, and comparative studies. Ideal for data enthusiasts, business analysts, and researchers exploring the fast-food industry.

    Potential Use Cases:

    Analyzing market trends in the fast-food sector. Visualizing revenue and growth patterns. Predictive modeling for future rankings or performance. Competitive analysis for market strategists.

  15. c

    Number of fast food outlets per 1000 population (England)

    • data.catchmentbasedapproach.org
    • hub.arcgis.com
    Updated Apr 27, 2021
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    The Rivers Trust (2021). Number of fast food outlets per 1000 population (England) [Dataset]. https://data.catchmentbasedapproach.org/datasets/number-of-fast-food-outlets-per-1000-population-england
    Explore at:
    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    The Rivers Trust
    Area covered
    Description

    SUMMARYThe number of fast food outlets (as of 31/12/2017) per 1000 population. This statistic is reported at the ward level, except in locations where ward-level data was unavailable. In these instances, district-level data was used to fill in the data gaps.For a full description of the establishments included as ‘fast food outlets’, see: Fast food outlets: density by local authority in England - GOV.UK (www.gov.uk). Note: Public Health England states this is unlikely to be a definitive list of all fast food outlets, but it gives a good estimate.DATA SOURCESNumber of fast food outlets per ward or district: © Public Health England. Population data: Mid-2017 (June 30) Population Estimates for Wards in England and Wales. © Office for National Statistics licensed under the Open Government Licence v3.0. © Crown Copyright 2018.Administrative boundaries: Boundary-LineTM: Contains Ordnance Survey data © Crown copyright and database right 2021. Contains public sector information licensed under the Open Government Licence v3.0.COPYRIGHT NOTICE© Public Health England; © Office for National Statistics licensed under the Open Government Licence v3.0. © Crown Copyright 2018.; Contains Ordnance Survey data © Crown copyright and database right 2021. Contains public sector information licensed under the Open Government Licence v3.0. Data edited for publishing by Ribble Rivers Trust.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

  16. Fast Food Chicken Restaurants in the US

    • ibisworld.com
    Updated Sep 15, 2025
    + more versions
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    IBISWorld (2025). Fast Food Chicken Restaurants in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/fast-food-chicken-restaurants/4027/
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2006 - 2031
    Description

    Market Size statistics on the Fast Food Chicken Restaurants industry in the US

  17. Inventory Data of Fast-Food Chain

    • kaggle.com
    zip
    Updated Aug 11, 2023
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    Chris Anderson (2023). Inventory Data of Fast-Food Chain [Dataset]. https://www.kaggle.com/datasets/chrisanderson0074/inventory-data-of-fast-food-chain
    Explore at:
    zip(5303484 bytes)Available download formats
    Dataset updated
    Aug 11, 2023
    Authors
    Chris Anderson
    Description

    Dataset

    This dataset was created by Chris Anderson

    Contents

  18. p

    Fast food restaurants Business Data for MC

    • poidata.io
    csv, json
    Updated Nov 30, 2025
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    Business Data Provider (2025). Fast food restaurants Business Data for MC [Dataset]. https://poidata.io/report/fast-food-restaurant/mc
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    Business Data Provider
    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
    MC
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 52 verified Fast food restaurant businesses in MC with complete contact information, ratings, reviews, and location data.

  19. 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 of America
    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!

  20. Global Fast Food Restaurants

    • ibisworld.com
    Updated Jan 19, 2021
    + more versions
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    IBISWorld (2021). Global Fast Food Restaurants [Dataset]. https://www.ibisworld.com/global/number-of-businesses/global-fast-food-restaurants/1480/
    Explore at:
    Dataset updated
    Jan 19, 2021
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2006 - 2031
    Description

    Number of Businesses statistics on the Global Fast Food Restaurants industry in Global

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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista Research Department (2025). Hourly wages of fast food cooks in the U.S. 2018-2024, by percentile distribution [Dataset]. https://www.statista.com/topics/863/fast-food/
Organization logo

Hourly wages of fast food cooks in the U.S. 2018-2024, by percentile distribution

Explore at:
18 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 18, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

Cooks working in fast food restaurants in the United States had a median hourly wage of 14.50 U.S. dollars as of May 2024. Meanwhile, 10 percent of fast food cooks earned less than 10.76 U.S. dollars per hour.

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