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.

Value and volume of retail sales for all businesses.

In March 2025, the value of online retail sales increased by 5.4 percent. In the same month of the prior year the value of retail sales was around 2.8 percent.

This report analyses retail sales volumes in the United Kingdom. The data is sourced from the Office for National Statistics (ONS), in addition to estimates by IBISWorld, and is adjusted for seasonality. The figures are averaged over each financial year (i.e., April through March) from an index of sales with a base value of 100 for the calendar year 2018. Retail sales data is collated by the ONS on a monthly basis. The retail sales index comprises consideration of food retailing, non-food retailing, and non-store retailing (e.g., mail order), albeit excluding sales of automotive fuel. Both the volume and value of UK retail sales are sensitive to: changes in consumer confidence; the propensity of consumers to make discretionary purchases, relative to household disposable income levels; the availability of consumer credit; monetary policy, whereby changes in interest rates can affect the yield on savings or facilitate consumer spending; and a number of other socio-economic factors. Seasonal factors (e.g., Christmas shopping at the tail end of a given calendar year, higher temperatures that may persuade many to pursue recreational rather than retail activities) can result in cyclical deviations from underlying retail sales trends. However, the data presented is adjusted for seasonality.

This statistic presents the change in total retail sales by category in the United Kingdom (UK) as a three month average from the end of May 2022 to June 2022, year-over-year. Overall, food retail sales showed a 2.2 percent increase compared to 2020 numbers in the corresponding period, whereas non-food sales decreased by 3.3 percent.

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.

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.

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.

During 2022 and 2023, retail trade volume in the United States fluctuated slighlty month-on-month. In January 2023, retail sales grew *** percent compared to the previous month, the largesst increase observed throughout the period considered.

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.

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

This dataset contains a list of sales and movement data by item and department appended monthly.

It is rich in information that can be leveraged for various data science applications. For instance, analyzing this dataset can offer insights into consumer behavior, such as preferences for specific types of beverages (e.g., wine, beer) during different times of the year. Furthermore, the dataset can be used to identify trends in sales and transfers, highlighting seasonal effects or the impact of certain suppliers on the market.

One could start with exploratory data analysis (EDA) to understand the basic distribution of sales and transfers across different item types and suppliers. Time series analysis can provide insights into seasonal trends and sales forecasts. Cluster analysis might reveal groups of suppliers or items with similar sales patterns, which can be useful for targeted marketing and inventory management.

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.

The most significant change in the retail sales value of small format stores in Poland was seen in March 2018, when sales increased by ** percent from the previous month. Meanwhile, in June 2025, retail spending increased by *** percent compared to the previous month.

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.

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.

Context

The Monthly State Retail Sales (MSRS) is the Census Bureau's new experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percentage changes are available for Total Retail Sales excluding Non-store Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019.

Content

Geography: US

Time period: 2019 - 2022

Unit of analysis: US Census Bureau's Monthly State Retail Sales Data

Variables

Acknowledgements

Datasource: United States Census Bureau's Monthly State Retail Sales

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F51529449c5ea6477431748f5c1b8a83f%2Fpic1.png?generation=1720540453192512&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F831d14b5312bdda036b66793c4ed6944%2Fpic2.png?generation=1720540466019416&alt=media" alt="">

Retail sales Y-on-Y in Israel, July, 2025 The most recent value is 7.55 percent as of July 2025, an increase compared to the previous value of -7.01 percent. Historically, the average for Israel from January 1996 to July 2025 is 4.43 percent. The minimum of -38.41 percent was recorded in April 2020, while the maximum of 74.78 percent was reached in April 2021. | TheGlobalEconomy.com