100+ datasets found
  1. Data from: Fast Food Nutrition

    • kaggle.com
    zip
    Updated Oct 17, 2023
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    Joakim Arvidsson (2023). Fast Food Nutrition [Dataset]. https://www.kaggle.com/datasets/joebeachcapital/fast-food
    Explore at:
    zip(41257 bytes)Available download formats
    Dataset updated
    Oct 17, 2023
    Authors
    Joakim Arvidsson
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants:

    • McDonald's
    • Burger King
    • Wendy's
    • Kentucky Fried Chicken (KFC)
    • Taco Bell
    • Pizza Hut

    Attributes include: Calories, Calories from Fat, Total Fat, Saturated Fat, Trans Fat, Cholesterol, Sodium, Carbs, Fiber, Sugars, Protein, and Weight Watchers Points (where available).

  2. 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.

  3. Global Fast Food Restaurants

    • ibisworld.com
    Updated Aug 22, 2009
    + more versions
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    IBISWorld (2009). Global Fast Food Restaurants [Dataset]. https://www.ibisworld.com/global/number-of-businesses/global-fast-food-restaurants/1480/
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    Dataset updated
    Aug 22, 2009
    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

    Discover the 2026 Number of Businesses of Global Fast Food Restaurants industry in Global, including historical data from 2026 and forecast data up to 2031.

  4. C

    Allegheny County Fast Food Establishments

    • data.wprdc.org
    • catalog-old.data.gov
    • +1more
    csv, html
    Updated Jun 3, 2024
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    Allegheny County (2024). Allegheny County Fast Food Establishments [Dataset]. https://data.wprdc.org/dataset/allegheny-county-fast-food
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    csv, htmlAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Allegheny County
    License

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

    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.

    Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

  5. r

    Fast food — United States

    • rascasse.com
    html, json
    Updated Aug 1, 2026
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    Rascasse (2026). Fast food — United States [Dataset]. https://rascasse.com/explore/us/fast-food-19289
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    html, jsonAvailable download formats
    Dataset updated
    Aug 1, 2026
    Dataset authored and provided by
    Rascasse
    License

    https://rascasse.com/terms/https://rascasse.com/terms/

    Time period covered
    2026
    Area covered
    United States
    Variables measured
    Male share, Average age, Female share, Audience size
    Measurement technique
    Search-behavior signal aggregation
    Description

    Fast food audience profile for United States.

  6. Fast Food Restaurants in the US

    • ibisworld.com
    Updated Dec 31, 2018
    + more versions
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    IBISWorld (2018). Fast Food Restaurants in the US [Dataset]. https://www.ibisworld.com/industry-statistics/market-size/fast-food-restaurants-united-states/
    Explore at:
    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2007 - 2032
    Description

    Discover the 2026 Market Size of Fast Food Restaurants industry in the US, including historical data from 2026 and forecast data up to 2031.

  7. a

    Fast-food restaurants, 2020

    • hub.arcgis.com
    Updated Sep 15, 2025
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    Economic Research Service (2025). Fast-food restaurants, 2020 [Dataset]. https://hub.arcgis.com/datasets/USDAERS::restaurants25-fastfood?layer=3
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Economic Research Service
    Area covered
    Description

    {"units": "Count"}

  8. n

    The State of Fast Food Nutrition

    • nom.now
    json
    Updated Jun 27, 2026
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    Nom (2026). The State of Fast Food Nutrition [Dataset]. https://nom.now/stats
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2026
    Dataset authored and provided by
    Nom
    Time period covered
    2026
    Area covered
    United States
    Variables measured
    Calories, Protein (g), Sodium (mg), Total sugars (g), Nom Score (0–100), Nom Score grade (A–F)
    Measurement technique
    Nutrient profiling (Nom Score) against FDA Daily Values
    Description

    Nutrition and Nom Score analysis of 2,402 menu items across 31 major U.S. fast-food chains, sourced from official restaurant nutrition information and scored A–F on sodium, saturated fat, sugar, portion size, fiber, and protein per calorie.

  9. U.S. - visited fast food restaurants 2018

    • statista.com
    Updated Aug 28, 2018
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    Statista (2018). U.S. - visited fast food restaurants 2018 [Dataset]. https://www.statista.com/statistics/561044/us-visited-fast-food-restaurants/
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    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    Statistahttps://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted by Cint on the visited fast food restaurants in the United States in 2018. During the survey, ***** percent of respondents of the United States stated they visited McDonald's.

  10. Fast Food Restaurants in the US - Market Research Report (2016-2031)

    • ibisworld.com
    Updated Jul 15, 2026
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    IBISWorld (2026). Fast Food Restaurants in the US - Market Research Report (2016-2031) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/fast-food-restaurants-industry/
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    Dataset updated
    Jul 15, 2026
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2016 - 2031
    Description

    Amid shifting consumer preferences and a crowded foodservice landscape, fast food restaurants have maintained steady growth. Over the five years to 2026, industry revenue has expanded at a CAGR of 1.2%, reaching $423.7 billion. Specifically, 2026 alone will see a 0.7% uptick in revenue from a short-term surge in foreign tourist visitation during the FIFA World Cup. The trend towards fast casual dining has bolstered the industry, helping fast food chains hold their ground amid fierce competition. As health awareness continues to rise, consumers demand healthier alternatives to conventional fast food. To an extent, major chains have met this demand by introducing healthier menu selections. Other innovative measures included investments in meat substitutes and the introduction of various dietary preferences to attract a broader consumer base. However, the shift towards a healthier lifestyle has somewhat dampened demand for traditional fast food staples, leading to a decline in industry profit. Between 2022 and 2026, fast food restaurants have grappled with surging operational costs, including purchasing, utilities, rent and labor. The collective impact of these cost increases has depressed industry profit, bringing it to 4.4% of revenue in 2026. Higher minimum wages, especially in California, have been detrimental to fast food restaurants' bottom lines, thereby boosting the adoption of technologies such as AI-driven drive-thrus. Over the next five years, revenue in the Fast Food Restaurants industry is expected to continue to expand, driven by the rise of fast casual restaurants and consumer spending. Also, improved consumer confidence will support demand for fast food restaurants, as more customers will likely opt for homemade meals amid economic uncertainty. Despite these challenges, successful operations in the industry will likely pivot in response to changing consumer preferences. In this evolving scenario, the concept of fast food is likely to expand beyond its traditional confines, offering a broader range of choices. However, intense competition within the industry will continue to put downward pressure on prices. Projections indicate a 1.4% CAGR growth over the next five years, bringing industry revenue to $454.3 billion by 2031.

  11. k

    USA Fast Food Restaurants Market

    • kenresearch.com
    pdf
    Updated Jul 31, 2026
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    Ken Research (2026). USA Fast Food Restaurants Market [Dataset]. https://www.kenresearch.com/industry-reports/usa-fast-food-restaurants-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 31, 2026
    Dataset authored and provided by
    Ken Research
    License

    https://www.kenresearch.com/terms-and-conditionshttps://www.kenresearch.com/terms-and-conditions

    Area covered
    United States
    Description

    The USA Fast Food Restaurants Market worth USD 447.2 billion in 2025 is growing at a CAGR of 7.20% to reach USD 678.0 billion by 2031. McDonald's Corporation, Starbucks Corporation, Chick-fil-A Inc., Yum! Brands Inc. (Taco Bell) and The Wendy's Company are the major companies operating in this market.

  12. a

    Fast Food Outlet Density per 1,000 Residents

    • vital-signs-bniajfi.hub.arcgis.com
    • data.baltimorecity.gov
    • +2more
    Updated Feb 26, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Fast Food Outlet Density per 1,000 Residents [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/0ccf9a4ad780402da20afd796a59bd44
    Explore at:
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable FutureYears Available: 2011, 2013, 2018, 2019

  13. l

    Children with Weekly Fast Food Consumption

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated Dec 19, 2023
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    County of Los Angeles (2023). Children with Weekly Fast Food Consumption [Dataset]. https://data.lacounty.gov/datasets/children-with-weekly-fast-food-consumption
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on caregiver report. A child is considered to have weekly fast food consumption if they eat any food, including meals and snacks, from a fast food restaurant, such as McDonald’s, Taco Bell, KFC, or another similar type of place at least 1 time per week.Fast food consumption is associated with increased intake of calories, fat, and sodium, as well as with poor diet quality in children and adolescents. Poor diet has contributed to our current obesity epidemic and is a major risk factor for heart disease, diabetes, cancer, and many other chronic health conditions.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  14. Consumers choosing healthy food at fast-food/fast casual restaurants in the...

    • statista.com
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    Statista, Consumers choosing healthy food at fast-food/fast casual restaurants in the U.S. 2014 [Dataset]. https://www.statista.com/statistics/307134/consumers-choosing-healthy-options-at-fast-food-fast-casual-restaurants-us/
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    Dataset authored and provided by
    Statistahttps://statista.com/
    Area covered
    United States
    Description

    This statistic shows the consumers choosing healthy options at fast-food and fast casual restaurants in the United States as of June 2014. During the survey, ** percent of respondents said they usually look for healthy options at fast-food restaurants.

  15. a

    Fast-food restaurants/1,000 pop, 2016

    • hub.arcgis.com
    Updated Sep 15, 2025
    + more versions
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    Economic Research Service (2025). Fast-food restaurants/1,000 pop, 2016 [Dataset]. https://hub.arcgis.com/datasets/USDAERS::restaurants25-fastfood?layer=5
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Economic Research Service
    Area covered
    Description

    {"units": "# per 1,000 pop"}

  16. Fast-Food Restaurant Chain

    • kaggle.com
    zip
    Updated Jul 20, 2026
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    CITIVAN (2026). Fast-Food Restaurant Chain [Dataset]. https://www.kaggle.com/datasets/chauvvan/fast-food-restaurant-chain
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    zip(6182605 bytes)Available download formats
    Dataset updated
    Jul 20, 2026
    Authors
    CITIVAN
    License

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

    Description

    About Dataset 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. https://www.kaggle.com/datasets/rishitsaraf/fast-food-restaurant-chain/data

  17. a

    Restaurants25 FastFood

    • hub.arcgis.com
    Updated Sep 15, 2025
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    Economic Research Service (2025). Restaurants25 FastFood [Dataset]. https://hub.arcgis.com/maps/a656289d018f4d8990bdd34ffb93f036
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Area covered
    Description

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

  18. Fast food restaurant market size in Latin America 2023-2030

    • statista.com
    Updated Sep 27, 2024
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    Statista (2024). Fast food restaurant market size in Latin America 2023-2030 [Dataset]. https://www.statista.com/statistics/1343179/fast-food-restaurant-market-size-latin-america/
    Explore at:
    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Statistahttps://statista.com/
    Time period covered
    2023
    Area covered
    Latin America
    Description

    In 2023, the value of the quick-service restaurant market in Latin America was estimated at around ** billion U.S. dollars. By 2030, this market was expected to grow by **** percent.

  19. r

    Fast food restaurants Audience Profile — United States 2026

    • rascasse.com
    Updated May 12, 2026
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    Rascasse (2026). Fast food restaurants Audience Profile — United States 2026 [Dataset]. https://rascasse.com/explore/br/fast-food-restaurants-13706
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    Dataset updated
    May 12, 2026
    Dataset authored and provided by
    Rascasse
    License

    https://rascasse.com/termshttps://rascasse.com/terms

    Area covered
    United States
    Variables measured
    Fan Count, Median Age, Female Share
    Description

    Demographic, psychographic, geographic and brand-affinity data for the Fast food restaurants audience in United States, sourced from Rascasse's panel of 12+ social and digital signals.

  20. Fast Food Market Growth Analysis - Size and Forecast 2026-2030

    • technavio.com
    pdf
    Updated Mar 10, 2026
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    Technavio (2026). Fast Food Market Growth Analysis - Size and Forecast 2026-2030 [Dataset]. https://www.technavio.com/report/fast-food-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 10, 2026
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2026 - 2030
    Description

    snapshot-tab-pane Fast Food Market Size 2026-2030The fast food market size is valued to increase by USD 125.9 billion, at a CAGR of 3.1% from 2025 to 2030. Acceleration of digital transformation and AI integration will drive the fast food market.Major Market Trends & InsightsAPAC dominated the market and accounted for a 38.2% growth during the forecast period.By Product - Non-vegetarian fast food segment was valued at USD 468.3 billion in 2024By Service Type - Eat-in segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 222.7 billionMarket Future Opportunities: USD 125.9 billionCAGR from 2025 to 2030 : 3.1%Market SummaryThe fast food market is undergoing a significant transformation, driven by technological adoption and evolving consumer preferences. Key industry players are moving beyond simple mobile applications to integrate deep learning algorithms and predictive order analytics for real-time optimization of kitchen workflows and customer engagement.This focus on food-tech integration is a response to the need for higher throughput during peak hours while minimizing manual errors. A central theme is the expansion of plant-based menu innovation, shifting vegetarian options from niche offerings to permanent menu fixtures to cater to health-conscious diners.Simultaneously, an aggressive push into high-growth territories, supported by localized menu strategies, allows brands to capitalize on rising disposable incomes in emerging economies. For instance, a chain entering a new region might leverage local supply chains for 40% of its ingredients to ensure authentic flavors and community support.These strategic pillars—digitalization, menu diversification, and geographic expansion—are reshaping the competitive landscape, compelling operators to balance global brand identity with local relevance to sustain growth.What will be the Size of the Fast Food Market during the forecast period? Get Key Insights on Market Forecast (PDF) Get Free SampleHow is the Fast Food Market Segmented?The fast food industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.ProductNon-vegetarian fast foodVegetarian fast foodService typeEat-inTake awayHome deliveryOthersTypeBurgers and sandwichesPizza and pastaAsian and Latin American foodChicken and seafood mealsOthersGeographyNorth AmericaUSCanadaMexicoAPACChinaIndiaJapanEuropeGermanyUKFranceSouth AmericaBrazilArgentinaMiddle East and AfricaSaudi ArabiaUAESouth AfricaRest of World (ROW)By Product InsightsThe non-vegetarian fast food segment is estimated to witness significant growth during the forecast period.The non-vegetarian fast food market segment remains the cornerstone of the industry, driven by protein platform innovation and the premiumization of core offerings. Major operators are leveraging a franchise ownership model and sustainable sourcing practices to enhance brand loyalty.This category is characterized by the strategic use of limited-time offerings to create consumer urgency and drive high-volume sales. To differentiate, companies are refining recipes to improve taste and texture, with some achieving a 15% improvement in consumer flavor ratings.The focus on menu engineering and optimization and smart restaurant design is critical for maintaining market leadership, alongside a robust strategy for new restaurant concept development.Food service automation trends, coupled with predictive maintenance for kitchen equipment, ensure operational continuity and consistent quality in this highly competitive space. Get Free SampleThe Non-vegetarian fast food segment was valued at USD 468.3 billion in 2024 and showed a gradual increase during the forecast period. Get Free SampleRegional AnalysisAPAC is estimated to contribute 38.2% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. See How Fast Food Market Demand is Rising in APAC Get Free SampleThe fast food market's geographic landscape is defined by aggressive expansion in APAC, which is the fastest-growing region globally.Rapid urbanization and a rising middle class are fueling demand, with some operators planning to open nearly 1,000 new stores in China in a single year.This growth is supported by a tech-savvy demographic that embraces digital loyalty programs and mobile order and pay systems. Localization is critical, with successful brands adapting menus to include regional flavors.The implementation of a smart queue system and workforce retention strat

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Joakim Arvidsson (2023). Fast Food Nutrition [Dataset]. https://www.kaggle.com/datasets/joebeachcapital/fast-food
Organization logo

Data from: Fast Food Nutrition

Nutritional Values, Micronutrients, and Calories from Six Fast Food Restaurants

Related Article
Explore at:
zip(41257 bytes)Available download formats
Dataset updated
Oct 17, 2023
Authors
Joakim Arvidsson
License

http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

Description

Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants:

  • McDonald's
  • Burger King
  • Wendy's
  • Kentucky Fried Chicken (KFC)
  • Taco Bell
  • Pizza Hut

Attributes include: Calories, Calories from Fat, Total Fat, Saturated Fat, Trans Fat, Cholesterol, Sodium, Carbs, Fiber, Sugars, Protein, and Weight Watchers Points (where available).

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