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.

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.

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.

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.

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.

This statistic depicts the profit of the U.S. retail industry in 2015, by segment. In that year, the profit generated by E-tailers in the United States amounted to **** billion U.S. dollars.

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.

Small specialty retail stores are influenced by broad macroeconomic variables rather than product-specific trends. Still, individual segments do respond to specific shifts in consumer preferences. In recent years, rising per capita disposable income has sustained demand throughout the retail sector. A recovery from the pandemic boosted consumer spending and encouraged consumers to return to brick-and-mortar stores. Specialty retailers were relatively unaffected by pandemic declines as high-income consumers and tobacco users, two significant markets for the industry, continued to spend. Competition from online and big-box retailers has risen, putting downward pressure on profit. More stores are expanding their online platforms to boost consumer reach and provide additional revenue streams. Rising operational costs have contributed to a slight dip in profit. Revenue for small specialty retailers is expected to swell at a CAGR of 4.0% to $68.4 billion through the end of 2025, including a hike of 2.0% in 2025 alone. Despite intensifying competition from discount department stores and online retailers, specialty retail stores have relied on serving a particular niche to remain successful. Big-box stores offer a one-stop shopping experience with lower prices for similar products. External competition has driven underperforming retailers to exit the industry, leaving nonemployers and small retail stores with low barriers to entry. Still, revenue gains have prompted the emergence of many new specialty retailers seeking to capitalize on the trend of shopping locally and broader sustainability trends. Small retailers have maintained a strong customer base by offering a unique in-store experience and high-quality products. Moving forward, small specialty retailers will continue expanding, albeit slower than in the previous five-year period. A gain in consumer spending and consumer confidence compounded by growing environmental awareness will support specialty retail store sales. Ongoing competition from large-scale retailers and declining smoking rates will mitigate specialty retailers' expansion. More consumers view consumer products, particularly luxury and nostalgic items, as sound investment options. Stores can benefit from this trend by stocking high-end goods that appeal to these consumers, focusing on popular brands. Revenue is expected to expand at a CAGR of 1.4% to $73.3 billion through the end of 2030.

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 ---

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.

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.

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.

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.