Graph and download economic data for Retail Sales: Restaurants and Other Eating Places (MRTSSM7225USN) from Jan 1992 to Aug 2025 about restaurant, retail trade, sales, retail, and USA.

In 2024, the month with the highest Quick Service Restaurant (QSR) sales in the United States was May, reaching around ** billion U.S. dollars. Meanwhile, the months of August and July ranked second and third, with QSR sales surpassing **** and **** billion U.S. dollars respectively.

Graph and download economic data for Retail Sales: Full Service Restaurants (MRTSSM7221USN) from Jan 1992 to Jan 2020 about restaurant, retail trade, sales, retail, services, and USA.

In June 2025, the food and drink sales of eating and drinking places in the United States was projected to reach roughly ***** billion U.S. dollars. This was a decrease from the previous month's total of approximately *** billion U.S. dollars.

The Restaurant Revenue Prediction Dataset is a comprehensive collection of simulated data designed for predicting monthly revenue for a set of fictitious restaurants. This dataset was created for educational and illustrative purposes, allowing data enthusiasts to explore and experiment with machine learning algorithms for regression tasks.

This statistic shows the monthly change in restaurant same store sales in the United States from ********* to *************. In *************, restaurant same store sales grew by *** percent compared to February of the previous year.

During 2024, restaurant revenues in Japan in June showed the highest year-on-year results when compared to the same period from the previous year, recording ***** percent year-on-year revenue. The industry started to recover from the effects of the COVID-19 pandemic.

In 2024, the average monthly net sales generated by the restaurant industry in Japan amounted to approximately **** trillion Japanese yen. The restaurant industry is part of the hospitality industry, which also includes the take-away and food delivery sector, as well as the lodging industry.

This statistic displays the year-on-year change in total sales of managed pub and restaurant groups in the United Kingdom monthly from January 2018 to March 2019. According to the Coffer Peach Tracker, total sales of pub and restaurant groups in the UK grew by *** percent in March 2019.

Each record is a date with attached features. The target variable is the amount of sales in the period of 2:00 - 5:59 PM each day.

Dummy Variable features included: - Day of week - Month of Year - Holidays

Historical data features: - Daily Avg (over past N days) - Weekly Avg (over past N days) - MinSales (over past N days) - MaxSales (over past N days)

The full research article can be found here: https://www.mdpi.com/2504-4990/4/1/6

Publicly available code and data are available here: https://github.com/austinschmidt/MLRestaurantSalesForecasting

Graph and download economic data for Advance Retail Sales: Food Services and Drinking Places (RSFSDP) from Jan 1992 to Sep 2025 about beverages, retail trade, food, sales, retail, services, and USA.

📹 Project Video available on YouTube - https://youtu.be/dQwnyCEZ-UU

🖇️Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal

It is a sales data of a restaurant company operating in multiple cities in the world. It contains information about individual sales transactions, customer demographics, and product details. The data is structured in a tabular format, with each row representing a single record and each column representing a specific attribute. This dataset can be commonly used for business intelligence, sales forecasting, and customer behaviour analysis.

Using this dataset, we answered multiple questions with Python in our Project.

Q.1) Most Preferred Payment Method ?

Q.2) Most Selling Product - By Quantity & By Revenue ?

Q.3) Which city had maximum revenue , or , Which Manager earned maximum revenue ?

Q.4) Date wise revenue.

Q.5) Average Revenue.

Q.6) Average Revenue of November & December month.

Q.7) Standard Deviation of Revenue and Quantity ?

Q.8) Variance of Revenue and Quantity ?

Q.9) Is revenue increasing or decreasing over time?

Q.10) Average 'Quantity Sold' & 'Average Revenue' for each product ?

These are the main Features/Columns available in the dataset :

1) Order ID: A unique identifier for each sales order. This can be used to track individual transactions.

2) Order Date: The date when the order was placed. This column is essential for time-series analysis, such as identifying sales trends over time or seasonality.

3) Product: The name or type of the product sold. This column is crucial for analyzing sales performance by product category.

4) Price : The unit price of the product. This, along with 'Quantity Ordered', is used to calculate the total price of each order.

5) Quantity : The number of units of the product sold in a single order. This is a key metric for calculating revenue and understanding sales volume.

6) Purchase Type : The order was made online or in-store or drive-thru.

7) Payment Method : How the payment for the order was done.

8) Manager : Name of the manager of the store.

9) City : The location of the store. This can be used for geographical analysis of sales, such as identifying top-performing regions or optimizing logistics.

Food services and drinking places in Canada were heavily impacted by the coronavirus (COVID-19) pandemic. Due to restrictions on sit-down dining many business in this sector saw huge declines in sales during 2020 and continuing into 2021. The lowest figure was seen in Q2 2020, when in April sales dropped to 2.4 billion Canadian dollars. However, by summer 2021 sales began to reflect pre-pandemic levels again, with July 2021 recording sales of 6.7 billion Canadian dollars. As of November 2024, the monthly sales of food services and drinking places in Canada amounted to 8.02 billion Canadian dollars.

Canada Food Services Sales: Receipts: Full-Service Restaurants data was reported at 3,017,385.000 CAD mn in Feb 2025. This records a decrease from the previous number of 3,151,187.000 CAD mn for Jan 2025. Canada Food Services Sales: Receipts: Full-Service Restaurants data is updated monthly, averaging 1,844,030.500 CAD mn from Jan 1998 (Median) to Feb 2025, with 326 observations. The data reached an all-time high of 3,851,653.000 CAD mn in Aug 2024 and a record low of 664,031.000 CAD mn in Apr 2020. Canada Food Services Sales: Receipts: Full-Service Restaurants data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H022: Food Services Sales. [COVID-19-IMPACT]

Explore detailed information on points of sale transactions and sales by sector in Saudi Arabia. This dataset covers a wide range of categories including restaurants, clothing, beverage, furniture, electronics, and more on a quarterly, monthly, and annual basis.

Restaurants and Cafe, Clothing and Footwear, Quarterly, Beverage and Food, Furniture, Jewelry, Total, Number of Transactions in Thousands, Monthly, Electronic and Electric Devices, Hotels, Annually, Sales in Thousand Saudi Riyals, Others, Transportation, Miscellaneous Goods and Services, Public Utilities, Telecommunication, Construction and Building Materials, Education, Recreation and Culture, Health, Sales, Transactions, POS, Money, Bank, SAMA Monthly

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Important notes:Sales In Thousand Riyals.Transactions in Thousands.The restaurants and hotels sector has been divided into two sectors: the hotel sector and the restaurants and cafes sector.Electronic devices and electrical appliances, furniture, building and construction materials and jewelry have been separated from the miscellaneous goods and services starting from the Monthly Bulletin of April 2019.Miscellaneous Goods and Services: Includes personal care and supplies, maintenance and cleaning, etc.

View monthly updates and historical trends for US Retail and Food Services Sales YoY. from United States. Source: Census Bureau. Track economic data with …

Graph and download economic data for Retail Sales: Limited Service Eating Places (SM72251XUSN) from Jan 1992 to Aug 2025 about retail trade, sales, retail, services, and USA.

ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.

Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 330+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).

ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities

Use Cases

For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.

For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.

For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.

Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.

With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

From January 2020 to January 2021, changes in restaurant menu prices in the United States varied by restaurant type. Full service restaurants (FSRs) experienced a decrease in menu prices between March 2020 and April 2020. Meanwhile, limited/quick service restaurants (QSRs) experienced an increase in menu prices during those same months. Despite the increase in menu prices from quick service restaurants, the total revenue of the QSR industry in the U.S. fell from *** billion U.S. dollars in 2019 to *** billion U.S. dollars in 2020 as a result of the coronavirus (COVID-19) pandemic.

What is the leading QSR chain in the U.S.?

According to a measure of systemwide sales, McDonald’s generated more sales in 2020 than any other QSR chain in the United States. The fast food behemoth earned ***** billion U.S. dollars in sales revenue, which amounted to roughly ** billion U.S. dollars more than the second ranked chain, Starbucks. Compared to McDonald’s, the similarly influential coffeehouse giant took home **** billion U.S. dollars in sales revenue in 2020. Other leading QSR chains in the U.S. included Chick-fil-A and Taco Bell.

Which U.S. state has the most quick service restaurants?

As the home of fast food, there is no shortage of quick service restaurants in the United States. Although such restaurants can be found in every state, some states have more than others. In 2019, the U.S. state with the largest number of quick service restaurants was California with nearly **** thousand establishments. Meanwhile, state with the lowest number of quick service restaurants was Wyoming with ***.

Graph and download economic data for Restaurant Chains, Sales Per Store for United States (M0607AUSM174NNBR) from Jan 1920 to Dec 1923 about restaurant, sales, retail, and USA.