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Technomics Top US Restaurant Chains Dataset
Data Science and Analytics
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Free
About
This dataset presents a detailed analysis of the top 100 most popular restaurant chains in the United States for the year 2020. Compiled by Technomic and reported by Restaurant Business magazine, these chains were responsible for a substantial three-fourths of the total industry sales growth in 2020. The dataset offers valuable insights into the performance and structure of major players in the US restaurant sector, allowing users to study fascinating profit patterns and design effective business models. It aims to provide a clear understanding of the market dynamics and financial health of these leading chains.
Columns
- RANK: The position of each respective restaurant chain based on their U.S. systemwide sales.
- CHAIN: The official name of the restaurant chain, corresponding to its rank.
- 2020 U.S. Sales ($000,000): Technomic's estimated U.S. sales figures for the year 2020, presented in millions of US dollars.
- YOY SALES CHANGE: The Year-Over-Year (YOY) sales change, a financial comparison illustrating sales performance on an annual basis.
- 2020 U.S. UNITS: The number of United States customary units (locations) for each restaurant chain in 2020.
- YOY UNIT CHANGE: The Year-Over-Year unit change, an effective metric for assessing the growth of the restaurant business by removing seasonal effects.
- SEGMENT: Categorises the business model of the chain into one of four distinct segments: quick service, fast casual, casual dining, or midscale.
- MENU CATEGORY: The primary type of menu items offered by the restaurant chain, such as Burger, Chicken, etc.
Distribution
This dataset is typically provided as a CSV (Comma Separated Values) file, with a sample file updated separately on the platform. The
Top100Chains.csv file has a size of 6.98 kB and contains 100 records (rows) across 8 distinct columns.Usage
This dataset is ideal for various applications and use cases, including:
- Studying interesting patterns and trends within the restaurant industry using various classification techniques.
- Creating compelling data visualisations to represent the performance and characteristics of leading restaurant chains.
- Designing and refining effective business models for aspiring restaurant chain startups.
- Analysing market dynamics and competitive landscapes within the US food service sector.
- Gaining a deeper understanding of the factors influencing sales and unit growth in major restaurant businesses.
Coverage
The dataset focuses on the United States, specifically covering the top 100 restaurant chains based on their performance in 2020. While 2016 was challenging for chain restaurants, the top 500 chains still contribute to over half of the industry's wealth. Importantly, nearly 94% of the industry's dollars and 93% of its units are represented within the top 250 chains, indicating the strong market presence of the entities included in this dataset.
License
CC0: Public Domain
Who Can Use It
- Business analysts seeking to understand the performance and strategic positioning of major US restaurant chains.
- Entrepreneurs and aspiring restaurateurs looking for insights to develop successful business models.
- Marketing professionals interested in segmenting the restaurant market and identifying key trends.
- Data scientists and researchers keen on applying classification techniques and creating data visualisations.
- Financial analysts studying sales, unit growth, and profit patterns within the food service industry.
Dataset Name Suggestions
- US Top 100 Restaurant Chains 2020 Performance
- Restaurant Business Magazine: Top US Chains Data
- 2020 United States Restaurant Industry Rankings
- Major US Restaurant Chains: Sales & Unit Analysis
- Technomic's Top US Restaurant Chains Dataset
Attributes
Original Data Source: Technomics Top US Restaurant Chains Dataset
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