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

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

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.

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

In 2019/20, when asked how often they eat out at fast food restaurants, ** percent of ***** year old respondents said at least once a week, compared to just **** percent of ** and overs. There was a general correlation between age and eating fast food, with younger respondents eating at fast food restaurants more often than older respondents.

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

The Fast-Food Ordering Pattern Dataset captures real-world–style food delivery behaviour across major Indian cities. It includes details such as order value, cuisine choices, delivery time, payment methods, and item count. This dataset is ideal for exploring consumer behaviour, EDA, visualizations, predictive modelling, delivery time forecasting, and recommendation systems.

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.

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.

As of November 2025, there were nearly ** thousand fast-food establishments in Mexico, out of which more than ***** were located in the homonymous state. Veracruz was the Mexican state with the second largest number of outlets preparing this type of food, with around *****.

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

Fast Food Finder

## Overview

Fast Food Finder is a dataset for object detection tasks - it contains Fast Food annotations for 1,957 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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.

The Fast Food market, valued at $595.93 billion in 2021, is driven by evolving consumer preferences for convenience and diverse menu options. Access detailed growth forecasts and market insights to 2033.

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Fast food restaurants audience profile for United States.

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.

Review counts, ratings and primary categories of 800 fast food restaurants listings ranking on Google Maps across 40 US cities, collected 1 September 2026 at a depth of twenty results per city.

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

Fast food audience profile for Netherlands.