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 Joint Nutrition Values Dataset

    • kaggle.com
    zip
    Updated Dec 22, 2022
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    Rakkesh Aravind G (2022). Fast Food Joint Nutrition Values Dataset [Dataset]. https://www.kaggle.com/datasets/rakkesharv/fast-food-joint-nutrition-values-dataset
    Explore at:
    zip(17814 bytes)Available download formats
    Dataset updated
    Dec 22, 2022
    Authors
    Rakkesh Aravind G
    License

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

    Description

    This dataset is webscrapped and pdf-to-csv converted data, which is organised and cleaned prior and only requires rows are gathered and exported. This includes various Fast Food Chain Giants like KFC, McDonald's, Burger King, Dominos, Pizza Hut and Starbucks.

    The columns are as follows:

    Company - Name of the Fast Food Company

    Category - The category of the meal

    Product - Name of the Meal

    Per Serve Size - Quantity of the Meal Served

    Energy (kCal) - Energy from the Meal in Kilo Calories

    Carbohydrates (g) - Carbohydrates obtained from the Meal in grams

    Protein (g) - Proteins obtained from the Meal in grams

    Fiber (g) - Fibers obtained from the Meal in grams

    Sugar (g) - Sugars obtained from the Meal in grams

    Total Fat (g) - Total Fats obtained from the Meal in grams

    Saturated Fat (g) - Saturated Fats obtained from the Meal in grams

    Trans Fat (g) - Trans Fat obtained from the Meal in grams

    Cholesterol (mg) - Cholesterol obtained from the Meal in grams

    Sodium (mg) - Sodium obtained from the Meal in grams

  3. 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/market-size/fast-food-restaurants-united-states/
    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 Restaurants industry in the US

  4. Global Fast Food Restaurants

    • ibisworld.com
    Updated Nov 15, 2025
    + more versions
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    IBISWorld (2025). Global Fast Food Restaurants [Dataset]. https://www.ibisworld.com/global/number-of-businesses/global-fast-food-restaurants/1480/
    Explore at:
    Dataset updated
    Nov 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

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

  5. d

    Allegheny County Fast Food Establishments

    • catalog.data.gov
    • data.wprdc.org
    • +2more
    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
    Explore at:
    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.

  6. US Fast Food Chains - Franchise & Revenue Info

    • kaggle.com
    zip
    Updated Apr 14, 2022
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    Stetson Done (2022). US Fast Food Chains - Franchise & Revenue Info [Dataset]. https://www.kaggle.com/datasets/stetsondone/top50fastfood
    Explore at:
    zip(1467 bytes)Available download formats
    Dataset updated
    Apr 14, 2022
    Authors
    Stetson Done
    Area covered
    United States
    Description

    Small, clean dataset for learning purposes.

    Data sourced from QSR Magazine, a business-to-business magazine in the quick service restaurant industry. This dataset includes the top 50 fast food chains in the U.S. in 2020. Contains information on the total sales, sales per unit, franchise units, company owned units, and unit change from 2018.

    Columns include: - Company Name - Category (pizza, burger, etc) - Sales in Millions (2019) - Sales Per Unit in Thousands (2019) - # of Franchised Units (2019) - # of Company Owned Units (2019) - # of Total Units (2019) - Unit # Change from 2018

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

    • ibisworld.com
    Updated Sep 15, 2025
    + more versions
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    IBISWorld (2025). 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/
    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
    2015 - 2030
    Description

    While shifting consumer preferences and a crowded foodservice landscape, fast food restaurants have maintained a steady pace of growth. Over the five years to 2025, industry revenue has expanded at a CAGR of 3.7%, reaching $412.7 billion. Notably, 2025 alone will experience a 1.1% increase in revenue. 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 and alternative options 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 introducing 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 2025, fast food restaurants have grappled with surging operational costs, including purchase, utility, rent and labor. The collective force of these cost increases has depressed industry profit, reaching 4.4% of revenue in 2025. Higher minimum wages, especially in California, have been detrimental to fast food restaurant's bottom lines, which subsequently boost technology adoption such as AI drive-thus. Over the next five years, the fast food industry is expected to maintain its growth trajectory, albeit slower. With fast casual restaurants on the rise and consumer spending expected to climb, further revenue growth for the fast food industry is expected. However, the environment is forecast to grow slowly for fast food chains, as many segments within the industry approach saturation. 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 to include a broader range of choices. However, intense competition within the industry will continue to put downward pressure on prices, and hence, revenue growth is expected to slow over the next five years. Projections indicate a CAGR of 1.0% over the next five years, bringing the industry revenue to $433.6 billion by 2030.

  8. Fast food franchises most "liked" on Facebook by college students

    • statista.com
    Updated Jul 14, 2011
    + more versions
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    Statista (2011). Fast food franchises most "liked" on Facebook by college students [Dataset]. https://www.statista.com/statistics/195750/most-liked-fast-food-franchises-on-facebook-by-us-college-students/
    Explore at:
    Dataset updated
    Jul 14, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    United States
    Description

    This statistic shows the fast food franchises most "liked" by U.S. college students on Facebook* as of July 2011. Burger King received 28,200 likes from U.S. college students.

  9. Most ordered types of fast food in the U.S. 2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Most ordered types of fast food in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1414293/most-ordered-fast-food-us/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States is known as the home of fast food. But in this competitive market, what kind of fast food do consumers order the most? During a 2023 survey,****** emerged as the most frequently ordered fast food in the U.S., with ** percent of respondents indicating it as their top choice. Comparatively, only **** percent of participants reported TexMex as their most ordered type of fast food.

  10. m

    Fast Food Market Size, Share & 2030 Growth Trends Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Sep 8, 2025
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    Mordor Intelligence (2025). Fast Food Market Size, Share & 2030 Growth Trends Report [Dataset]. https://www.mordorintelligence.com/industry-reports/fast-food-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The Fast Food Market Report is Segmented by Product Type (Burger, Sandwich, Meat Based Cuisines, and More), Restaurant Type (Quick Service Restaurants (QSR), Fast-Casual Restaurants, and More), Ordering Channel (Dine-In, Drive-Thru/Take-Away, and More), Outlet Type (Independent Outlet, and Chain Outlet), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

  11. Fast Food Market Growth Analysis - Size and Forecast 2025-2029 | Technavio

    • technavio.com
    pdf
    Updated Jan 25, 2025
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    Technavio (2025). Fast Food Market Growth Analysis - Size and Forecast 2025-2029 | Technavio [Dataset]. https://www.technavio.com/report/fast-food-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 25, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

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

    Time period covered
    2025 - 2029
    Description

    snapshot-tab-pane Fast Food Market Size 2025-2029The fast food market size is forecast to increase by USD 119.6 billion, at a CAGR of 3% between 2024 and 2029.Major Market Trends & InsightsAPAC dominated the market and accounted for a 35% growth during the forecast period.By the Product - Non-vegetarian fast food segment was valued at USD 424.90 billion in 2023By the Service Type - Eat-in segment accounted for the largest market revenue share in 2023Market Size & ForecastMarket Opportunities: USD 28.51 billionMarket Future Opportunities: USD 119.60 billion CAGR : 3%APAC: Largest market in 2023Market SummaryThe global fast food market was valued at USD 712 billion in 2024 and is expected to reach USD 895 billion by 2029, driven by rising urbanization, convenience trends, and changing dietary preferences. The U.S. accounts for over 28% of global fast food sales, with more than 194,000 fast-food establishments operating nationwide. Quick Service Restaurants (QSRs) dominate, representing over 60% of market revenue, while online food delivery platforms contribute to over 30% of total orders globally. Increasing demand for plant-based menu options, gluten-free offerings, and low-calorie meals reflects growing health-conscious consumer behavior. Additionally, AI-driven personalization and self-service kiosks are transforming customer experience in the industry. Internal linking opportunities include Functional Food Ingredients Market, Plant-Based Food Market, and Online Food Delivery Market, which align with evolving fast-food trends and consumer expectations.What will be the Size of the Fast Food Market during the forecast period?Explore market size, adoption trends, and growth potential for fast food market Request Free SampleThe fast food market continues to expand, driven by innovations in restaurant technology and the integration of food service equipment designed to improve speed and efficiency. Brands are adopting POS terminal integration and online ordering integration to streamline transactions and meet growing consumer demand for convenience. Enhancing kitchen workflow efficiency and implementing structured employee training programs are critical to reducing errors and ensuring consistency in service.Modern operators rely heavily on customer feedback systems and data driven decision making to refine operations. Advanced supply chain traceability, stringent food quality control, and robust sanitation protocols support compliance and safety, while strategies for operational efficiency and cost reduction strategies remain essential for maintaining margins. Growth initiatives include revenue generation, customer acquisition, and customer retention, supported by menu optimization and targeted campaigns informed by marketing analytics and brand positioning.Strategic decisions like location analysis and franchise development influence expansion, while effective store operations, staff management, and inventory control are key for sustaining performance. Tools for food cost control, quality assurance, and sales forecasting help operators maintain profitability. Additionally, profitability analysis, risk management, and a strong focus on customer experience are shaping the competitive landscape. With digitalization and analytics driving innovation, the sector is evolving toward faster, smarter, and more customer-centric models.How is this Fast Food Industry segmented?The fast food industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.Product Non-vegetarian fast foodVegetarian fast foodService Type Eat-inTake awayHome deliveryOthersEnd-User Quick Service RestaurantsFast Casual RestaurantsOthersTarget Audience YouthFamiliesProfessionalsGeography North America USCanadaMexicoEurope FranceGermanyItalySpainUKMiddle East and Africa UAEAPAC ChinaIndiaJapanSouth KoreaSouth America BrazilRest of World (ROW) By Product InsightsThe non-vegetarian fast food segment is estimated to witness significant growth during the forecast period.In the dynamic the market, various strategies are employed by outlets to attract consumers and drive growth. Menu engineering principles introduce innovative non-vegetarian dishes, primarily focusing on fish, seafood, chicken, beef, and other options. Consumers' preference for low-calorie and high-protein food products, such as meat-based offerings, further propels market expansion. Chicken, in particular, is a highly demanded non-vegetarian fast food category. Restaurant management software optimizes operations, from ingredient sourcing and lease negotiation to customer service metrics and franchise operations. Employee scheduling software and kitc

  12. 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!

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

    • statista.com
    Updated Nov 28, 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/
    Explore at:
    Dataset updated
    Nov 28, 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.

  14. Main reasons U.S. consumers eat fast food 2020

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Main reasons U.S. consumers eat fast food 2020 [Dataset]. https://www.statista.com/statistics/1237187/biggest-reasons-why-us-consumers-eat-fast-food/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 13, 2020 - Nov 6, 2020
    Area covered
    United States
    Description

    Between October and November of 2020, fast food consumers primarily from the United States were asked about the reasons they ate fast food. Approximately **** percent of those surveyed stated convenience as the leading reason they ate fast food. Meanwhile, the second highest percentage of respondents, **** percent, said it was because it tasted good.

  15. Fast Food Divide

    • hub.arcgis.com
    Updated Feb 26, 2015
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    Urban Observatory by Esri (2015). Fast Food Divide [Dataset]. https://hub.arcgis.com/maps/1e085612810040eab530f99277cce215
    Explore at:
    Dataset updated
    Feb 26, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map displays the national divide between Carl's Jr. and Hardee's chain restaurants, owned by the same parent company. This 2007 dataset is from fastfoodmaps.com. Click here to download the data which includes the location of multiple fast food chains around the nation. Attribute information includes the name of the chain, its address, and its phone number.

  16. 🧑‍🍳 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
    Explore at:
    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

  17. K

    Fast food restaurants, 2012

    • koordinates.com
    csv, dwg, geodatabase +6
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    ers.usda.gov, Fast food restaurants, 2012 [Dataset]. https://koordinates.com/layer/11144-fast-food-restaurants-2012/
    Explore at:
    shapefile, geopackage / sqlite, dwg, mapinfo tab, csv, pdf, geodatabase, kml, mapinfo mifAvailable download formats
    Dataset provided by
    ers.usda.gov
    Area covered
    Description

    Geospatial data about Fast food restaurants, 2012. Export to CAD, GIS, PDF, CSV and access via API.

  18. p

    Fast food restaurants Business Data for RE

    • poidata.io
    csv, json
    Updated Feb 20, 2026
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    Business Data Provider (2026). Fast food restaurants Business Data for RE [Dataset]. https://poidata.io/report/fast-food-restaurant/re
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 20, 2026
    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
    2026
    Area covered
    RE
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive list containing 553 verified Fast food restaurant businesses in RE with latest contact information, ratings, reviews, and location data.

  19. Z

    U.S. Fast Food & Quick Service Restaurant (QSR) Market By Cuisine (Pizza,...

    • zionmarketresearch.com
    pdf
    Updated Feb 24, 2026
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    Zion Market Research (2026). U.S. Fast Food & Quick Service Restaurant (QSR) Market By Cuisine (Pizza, Bakeries, Ice-Cream, Meat-Based Cuisines, and Burger), By Outlet (Independent Outlets and Chained Outlets), and By Region - Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2024 - 2032 [Dataset]. https://www.zionmarketresearch.com/report/us-fast-food-and-quick-service-restaurant-qsr-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 24, 2026
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global, United States
    Description

    The U.S. fast food & quick service restaurant (QSR) market size was worth US$ 405 billion in 2023, expected to reach US$ 663 billion by 2032, CAGR of 10.3%

  20. b

    Fast Food Outlet Density per 1,000 Residents

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    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://data.baltimorecity.gov/maps/0ccf9a4ad780402da20afd796a59bd44
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    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

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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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