A series of retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

A first estimate of retail sales in value and volume terms for Great Britain, seasonally and non-seasonally adjusted.

Internet sales in Great Britain by store type, month and year.

This statistic shows the total annual retail sales (including automotive fuel) in Great Britain from 2005 to 2024, based on sales volumes. In 2024, approximately 482 billion British pounds worth of goods were sold across all retailing sectors in Great Britain. In terms of sales value (amount spent), figures reported by the Office for National Statistics (ONS) in 2024 were the highest within the considered period of time.

In March 2025, online retail sales increased in Great Britain. Compared to the previous month, household goods stores had a month-on-month decrease of two percent.

Value and volume of retail sales for all businesses.

As the new coronavirus strain Sars-Cov-2 (Covid-19) is spreading across the world at an alarming pace, the consumer market is seeing disruptions as manufacturing and production sectors slow down, particularly in countries where the disease hit the hardest. According to a study conducted with UK retailers in the food, fashion, and health and beauty categories, retailers are positive that the Covid-19 will have a negative impact on their sales. While ** percent thought the impact would be significant, a great share of respondents thought the outbreak would have a slightly negative impact on their sales, if the virus persists.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Retail Sales in the United Kingdom increased 0.20 percent in October of 2025 over the same month in the previous year. This dataset provides - United Kingdom Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail Sales - Report on Monthly Survey of Retail Sales [Report]

Retail sales Y-on-Y in Switzerland, October, 2025 The most recent value is 2.71 percent as of October 2025, an increase compared to the previous value of 1.91 percent. Historically, the average for Switzerland from January 2001 to October 2025 is 1.46 percent. The minimum of -18.21 percent was recorded in April 2020, while the maximum of 38.15 percent was reached in April 2021. | TheGlobalEconomy.com

This dataset, identified by the series ID RSXFS, is sourced from the U.S. Census Bureau and is available through the Federal Reserve Economic Data (FRED) system of the St. Louis Fed. It provides a monthly measure of retail sales across the United States. The data represents the total value of sales at retail and food services stores, measured in millions of dollars and adjusted for seasonal variations. It is important to note that the most recent month's value is an advance estimate, which is subject to revision in subsequent months as more comprehensive data becomes available. As a key economic indicator, this series is widely used by economists and analysts to gauge consumer spending and assess the overall health of the U.S. economy.

Suggested Use Cases: - This dataset is highly valuable for economic analysis and can be used to: - Conduct time series analysis and modeling. - Track consumer spending patterns. - Forecast future retail sales. - Analyze the impact of economic events on the retail sector.

License The RSXFS dataset is sourced from the U.S. Census Bureau and is considered Public Domain: Citation Requested. This means the data is freely available for use, but you must cite the source and acknowledge that the data was obtained from FRED. If you plan on using any copyrighted series from other data providers on FRED for commercial purposes, you would need to contact the original data owner for permission.

Data Fields: The dataset primarily contains two columns: - observation_date: The date of the monthly data point, recorded as the first day of each month from January 1992 to July 2025. - RSXFS: The value of advance retail sales in millions of dollars.

Citation and Provenance:
Source: U.S. Census Bureau
Release: Advance Monthly Sales for Retail and Food Services
FRED Link: https://fred.stlouisfed.org/series/RSXFS
Citation: U.S. Census Bureau, Advance Retail Sales: Retail Trade [RSXFS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSXFS, September 8, 2025.

Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Clothing data was reported at 220.300 2000=100 in Dec 2008. This records an increase from the previous number of 219.000 2000=100 for Nov 2008. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Clothing data is updated monthly, averaging 80.500 2000=100 from Jan 1979 (Median) to Dec 2008, with 360 observations. The data reached an all-time high of 220.300 2000=100 in Dec 2008 and a record low of 56.700 2000=100 in Dec 1988. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Clothing data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.H008: Retail Sales Index: Volume: 2000=100: Seasonally Adjusted.

During 2022 and 2023, retail trade volume in Great Britain fluctuated month-on-month. In November 2024, retail sales volume (including automotive fuel) grew by *** percent, after decreasing by *** percent in the preceding month already.

Retail Sales in the United States increased 0.20 percent in September 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.

Internet sales have played an increasingly significant role in retailing. In 2025, e-commerce accounted for over ***percent of retail sales worldwide. Forecasts indicate that by 2030, the online segment will make up ***percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************ U.S. dollars, a figure expected to approach * trillion U.S. dollars by 2030. Digital development boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the globe. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditional commercial fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The order share of online shopping via smartphones and tablets now outperforms traditional e-commerce via desktop computers. As such, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2023, South Korea was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. Malaysia, UAE, and Turkey completed the top of the ranking.

The growth of sales in predominantly non-food, non-specialized stores in the European Union remained fairly stable from 2015 to 2019. In 2020, there was a considerable negative impact on retail sales, as a result of the coronavirus (COVID-19) pandemic. In 2021, however, there was evidence of recovery, and sales grew by ***** percent compared to the previous year.

Retail sales categories and descriptions and their percentage of all retailing in Great Britain.

The most significant change in sales value was seen in July 2023, when sales increased by *** percent from the previous year. Meanwhile, in June 2025, retail spending decreased by *** percent over the previous year.

This dataset provides detailed insights into retail sales, featuring a range of factors that influence sales performance. It includes records on sales revenue, units sold, discount percentages, marketing spend, and the impact of seasonal trends and holidays.

Key Features:

• Sales Revenue (USD): Total revenue generated from sales.
• Units Sold: Quantity of items sold.
• Discount Percentage: The percentage discount applied to products.
• Marketing Spend (USD): Budget allocated to marketing efforts.
• Store ID: Identifier for the retail store.
• Product Category: The category to which the product belongs (e.g., Electronics, Clothing).
• Date: The date when the sale occurred.
• Store Location: Geographic location of the store.
• Day of the Week: Day when the sale took place.
• Holiday Effect: Indicator of whether the sale happened during a holiday period.

Use Cases:

• Predictive Modeling: Build models to forecast future sales based on historical data.
• Marketing Analysis: Evaluate the effectiveness of marketing spend and discount strategies.
• Seasonal Trend Analysis: Examine how different seasons and holidays impact sales.
• Revenue Optimization: Identify strategies to optimize pricing and marketing for increased revenue.

Notes:

This dataset is synthetic and generated for analysis purposes. It reflects typical retail sales patterns and is designed to support a wide range of data science and business analytics projects.

The biggest year-on-year percentage change in retail sales value of supermarkets in Poland was seen in February 2023, when sales increased by nearly **** percent from the previous year. Meanwhile, in June 2025, retail spending increased by nearly *** percent over the previous year.