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

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.

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).

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).

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

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.

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

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.

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!

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.

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

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

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.

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.

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.

Density of fast food outlets to population linking high density with areas of high deprivation

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The fast food market research report identifies increasing online presence of fast food vendors as one of the primary drivers propelling the growth of the market. This driver is expected to create several growth opportunities and entice market vendors to make significant investments.

The fast food market report also provides several other key information including:

CAGR of the market during the forecast period 2020-2024
Detailed information on factors that will drive fast food market growth during the next five years
Precise estimation of the fast food market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the fast food market industry across North America, APAC, Europe, South America, and MEA
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of fast food market vendors

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.

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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.

China Chain: Fast Food: Number of Store data was reported at 29,221.000 Unit in 2023. This records an increase from the previous number of 25,205.000 Unit for 2022. China Chain: Fast Food: Number of Store data is updated yearly, averaging 11,892.000 Unit from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 29,221.000 Unit in 2023 and a record low of 1,966.000 Unit in 2003. China Chain: Fast Food: Number of Store data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAC: Fast Food.