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Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants:
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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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
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Market Size statistics on the Fast Food Restaurants industry in the US
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Number of Businesses statistics on the Global Fast Food Restaurants industry in Global
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TwitterThe 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.
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TwitterSmall, 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
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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.
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TwitterThis 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.
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TwitterThe 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.
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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).
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TwitterXavvy 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!
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TwitterThis 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.
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TwitterBetween 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.
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TwitterThis 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.
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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.
You can use this data to rank cities with the most and least fast food restaurants across the U.S. E.g.:
Foto von Haseeb Jamil auf Unsplash
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TwitterGeospatial data about Fast food restaurants, 2012. Export to CAD, GIS, PDF, CSV and access via API.
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Comprehensive list containing 553 verified Fast food restaurant businesses in RE with latest contact information, ratings, reviews, and location data.
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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%
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TwitterThe 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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Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants:
Attributes include: Calories, Calories from Fat, Total Fat, Saturated Fat, Trans Fat, Cholesterol, Sodium, Carbs, Fiber, Sugars, Protein, and Weight Watchers Points (where available).