The statistic shows retail sales in the United States in 2015, by format, and provides a forecast for 2020. In 2015, about ****** billion U.S. dollars were generated through the supercenter channel.

Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

This statistic shows the retail sales share of deli prepared foods in the United States in 2015, by kind of prepared food. In that year, deli prepared chicken captured a sales share of 28 percent of the deli prepared foods department.

Retail Sales in the United States increased 3.90 percent in June of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This statistic shows the retail sales of almond milk in the United States in 2015 and provides a forecast for 2020. According to the report, U.S. retail sales of almond milk amounted to 1.18 billion U.S. dollars in 2015.

Graph and download economic data for Sales: Retail Trade: Total Retail Trade: Volume for United States (SLRTTO01USQ661S) from Q1 1960 to Q2 2018 about retail trade, sales, retail, and USA.

The Superstore Sales Dataset provides detailed transactional data from a retail superstore operating across the United States. It includes records of customer orders made between 2015 and 2019, capturing key sales, shipping, and regional details.

🧾 Key Columns: Order Date & Ship Date – Timeline of transactions and delivery

State & Region – Geographic location of the order

Category & Sub-Category – Type of product sold (e.g., Furniture, Office Supplies)

Sales – Revenue generated per item (in dollars)

Quantity – Number of units sold

Discount – Discount applied on the sale

Shipping Mode – Delivery method (Standard, First Class, Second Class, Same Day)

⚠️ Note: The dataset does not include profit or customer demographic information.

🗺️ Coverage: Time: 5 years (2015–2019)

Location: All major U.S. regions and states

Products: Multiple categories and sub-categories

Shipping: All standard delivery modes

This dataset is ideal for beginners to explore sales trends, regional performance, product analysis, and customer behavior patterns through visualizations and summary statistics.

The statistic illustrates coffee retail sales in the United States in 2015 and 2016. According to the source, U.S. coffee retail sales amounted to about **** billion U.S. dollars in 2016.

Analysis of ‘🏦 US Retail Sales Per Capita by Store Type’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/us-retail-sales-per-capita-by-store-type-2000-20e on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

I have added a column on the right that shows the compound annual growth rate (CGR) of per capita spending from 2000 to 2015.

source:

This dataset was created by Gary Hoover and contains around 0 samples along with Unnamed: 15, Unnamed: 9, technical information and other features such as: - Unnamed: 18 - Unnamed: 12 - and more.

How to use this dataset

• Analyze Unnamed: 4 in relation to Unnamed: 10
• Study the influence of Unnamed: 14 on Unnamed: 1
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Gary Hoover

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--- Original source retains full ownership of the source dataset ---

This statistic represents retail sales of hard soda in the United States in 2015 and 2016. U.S. retail sales of hard soda amounted to ***** million U.S. dollars for the 52 weeks ending January 16, 2016. Supermarket sales accounted for about ** percent of all hard soda sales in the U.S.

Mail-order retailers are companies that primarily use mail catalogs and TV to display and sell merchandise. Rapidly increasing competition from online shopping outlets forced mail-order retailers to develop new strategies to prevent revenue losses or slow growth. E-commerce retailers offer levels of convenience that are highly attractive to consumers, lowering sales from mail order services, particularly among younger consumers. However, the industry benefited from the pandemic, as older consumers were encouraged to reduce exposure to the virus and stay at home. Revenue for mail-order businesses is expected to climb at a CAGR of 4.3% to $252.3 billion through the end of 2024, despite a forecast decline of 2.1% in 2024. Many mail order retailers began offering internet and mobile e-commerce services to cope with slowing industry revenue and increasing demand for online retailers. In recent years, a growing share of retail sales have come from online websites and mobile apps, cannibalizing sales generated by mail-order channels. Although this increases revenue for individual companies, it shows the falling reliability of mail-order sales as a source of revenue. Similarly, mail-order retailers are affected by lower cable TV subscriptions, reducing exposure and lowering revenue from infomercials. The growing competitive landscape has pressured prices and contributed to lower profitability. Moving forward, external competition from e-commerce and brick-and-mortar retailers will harm industry performance. Consumers will continue to opt for online shopping because of the increased convenience and ability to compare products and prices across multiple brands. Declines in cable TV subscriptions will continue threatening TV home-shopping networks as fewer consumers can access these channels. Consumers who find these channels can access e-commerce solutions to compare prices and shop directly on the website. As high-speed internet access becomes more widespread along with robust cellular coverage, mail-order businesses will endure further external pressures. These factors are expected to cause revenue to drop at a CAGR of 1.6% to $232.9 billion through the end of 2029.

United States Retail Sales: Median CV: MV: Automobile & Others data was reported at 1.800 % in Apr 2025. This records an increase from the previous number of 1.600 % for Mar 2025. United States Retail Sales: Median CV: MV: Automobile & Others data is updated monthly, averaging 1.400 % from Apr 2001 (Median) to Apr 2025, with 289 observations. The data reached an all-time high of 2.600 % in Dec 2012 and a record low of 0.800 % in Dec 2015. United States Retail Sales: Median CV: MV: Automobile & Others data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.H: Retail Sales: Measures of Sampling Variability: NAICS.

Retail Sales: Median CV: Total data was reported at 0.900 % in Apr 2025. This stayed constant from the previous number of 0.900 % for Mar 2025. Retail Sales: Median CV: Total data is updated monthly, averaging 0.600 % from Apr 2001 (Median) to Apr 2025, with 289 observations. The data reached an all-time high of 1.000 % in Feb 2013 and a record low of 0.300 % in May 2015. Retail Sales: Median CV: Total data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.H: Retail Sales: Measures of Sampling Variability: NAICS.

Graph and download economic data for Sales: Retail Trade: Total Retail Trade: Value for United States (SLRTTO02USA661S) from 1960 to 2022 about retail trade, sales, retail, and USA.

This statistic shows retail sales of Nature Valley cereal in the United States from 2013 to 2015. According to the report, U.S. retail sales of Nature Valley cereal amounted to approximately ** million U.S. dollars in 2014.

The Online Sporting Goods Sales industry includes online stores that retail new sporting goods such as bicycles, camping equipment, exercise and fitness equipment and other sporting goods and accessories. This industry does not include sporting apparel sales. Products are sourced from sporting goods manufacturers and wholesalers, and then sold to the general public via retail channels.

By 2025, the e-commerce retail sales in the Gulf Cooperation Council was forecasted to reach around ** billion U.S. dollars. The compound annual growth rate from 2020 to 2025 was estimated at around **** percent.

This statistic shows the retail dollar sales growth of the leading U.S. cider brands in 2015 in comparison to the previous year. Retail dollar sales of Strongbow cider increased by 64.3 percent from 2014 to 2015.

The dollar and variety store industry has been on a steady upward trajectory, with revenue expanding at a CAGR of 0.8% over the past five years. In 2025, industry revenue will reach $119.2 billion, a notable 2.0% gain from the previous year. This growth has been fueled by strategic product diversification and an appealing value proposition that attracts a broader consumer base. Notably, the introduction of higher-priced items by chains like Dollar Tree has driven up the average ticket size, boosting sales per store. Additionally, these stores have effectively managed inflationary pressures by maintaining competitive pricing while expanding their product offerings, holding profit steady over the period. Over the past five years, the industry has significantly shifted its image and customer base. By expanding product selections to include top-brand and private-label goods, dollar stores have attracted higher-income shoppers seeking value without compromising quality. Strategic store locations in urban areas have made these businesses more accessible and appealing to affluent consumers. Though there was a 1.1% decline in foot traffic, the average transaction amount rose by 2.3%, indicating a shift toward larger purchases per visit. Enhanced e-commerce capabilities through partnerships with platforms like Instacart and DoorDash have bolstered revenue by providing convenient shopping options, allowing dollar stores to compete more effectively with retail giants like Walmart and Amazon. Looking ahead, the industry is poised for continued growth at a CAGR of 1.2% over the next five years. Revenue will climb to $126.4 billion through 2030, driven by private label expansion and strategic forays into underserved areas. By increasing private label penetration, major chains like Dollar Tree and Dollar General are taking advantage of the products’ higher returns. Meanwhile, targeting rural and low-income regions offers new revenue streams with less competition. However, the industry's growth won't be without challenges. Increasing competition from warehouse clubs and supermarkets and potential tariff-related cost pressures will challenge profit. Yet, dollar stores can sustain their momentum by innovating store concepts and expanding product lines to continue capturing a diverse consumer base.