Retail Sales in the United Kingdom increased 0.50 percent in August of 2025 over the previous month. This dataset provides the latest reported value for - United Kingdom Retail Sales MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

This chart presents the share of retail sales revenue generated through online channels in the fourth quarter of 2018 in the United Kingdom (UK), broken down by preferred device. The data reveals that as of the last quarter of 2018, purchases made through smartphones generated the highest share of retail sales revenue at 40.4 percent.

Total sales and average weekly spending estimates for each retail sector in Great Britain in thousands of pounds.

In the United Kingdom, more than 50 percent of consumers said financial rewards were an incentive for them to share their personal data with companies, according to a survey conducted on digital retail in 2019. The second most popular consumer incentive was free products and services offered by companies in exchange for data. The least influential offers for consumers were charity donations and personalized services, as stated by 43 and 38 percent of respondents respectively.

Consumers aged between 16 and 24 are the most conscious when it comes to controlling their data going to companies, as revelaed in a survey conducted in 2019. According to survey results, 32 percent of respondents from younger age groups stated that took actions to limit the amount of data they shared with companies. Consumers aged 35-44 were rather lax about their sharing their personal data, with 62 percent of them saying they did not take any action within the last 12 months to limit their personal data sharing.

Key information about United Kingdom Retail Sales Growth

• United Kingdom Retail Sales dropped 2.1 % YoY in May 2023, compared with a 3.3 % decrease in the previous month.
• UK Retail Sales Growth YoY data is updated monthly, available from Jan 1997 to May 2023, with an average growth rate of 2.4 %.
• The data reached an all-time high of 40.9 % in Apr 2021 and a record low of -22.9 % in Apr 2020.
• In the latest reports, Car Sales of UK recorded 1,943,572.0 units in Dec 2022, representing a drop of 5.1 %.

Online retail in the United Kingdom has been gaining ground in the past decade. With the onset of the coronavirus (COVID-19) crisis, the value of online retail sales in the United Kingdom is estimated to reach just below *** billion British pounds in 2021. In 2022, the figure decreased to *** billion British pounds. What ranks high in UK e-commerce? In the United Kingdom, clothing and household goods were the most popular retail items consumers purchased through the internet in 2020. Data published by the Office for National Statistics (UK) showed that other leisure activities and services such as booking holiday accommodations, travel arrangements and event tickets were other areas consumers depended on the internet to buy. German e-commerce market The UK might have the highest share of online sales in retail trade, but other European countries such as Germany and France have had impressive track records over the years as well. According to the forecasts provided by German E-commerce and Distance Selling Trade Association (bevh), the market volume of Germany’s e-commerce sector was projected to see over ** billion euros in 2021.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

Dataset Card for UK Supermarket Time Series Data (Combined)

This dataset is a consolidated version of the Time Series UK Supermarket Data originally shared by Declan McAlinden under the Apache License 2.0.
It merges the five original CSV files (one per UK supermarket) into a single Parquet file:base_retail_gb_snappy.parquet The data remains unchanged, but combining the files simplifies loading and analysis, especially for large-scale analytics and machine learning workflows.… See the full description on the dataset page: https://huggingface.co/datasets/Rif-SQL/time-series-uk-retail-supermarket-price-data.

Retail Sales in the United Kingdom increased 0.70 percent in August 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.

ZARA UK Fashion Dataset offers an extensive collection of fashion product data from ZARA's UK online store, providing a detailed overview of available items. This dataset is valuable for analyzing the European fashion retail market, particularly in the UK, and includes fields such as product titles, URLs, SKUs, MPNs, brands, prices, currency, images, breadcrumbs, country, availability, unique IDs, and timestamps for when the data was scraped.

Key Features:

• Product Details: Includes title, URL, SKU (Stock Keeping Unit), MPN (Manufacturer Part Number), and brand for each product, helping to uniquely identify and differentiate items.
• Pricing Information: Features the price of each product along with the currency used (GBP) to understand the pricing strategies of ZARA in the UK market.
• Visual Data: High-quality images of each product, essential for visual merchandising analysis and online consumer behavior studies.
• Categorical Information: Breadcrumbs data provide context on the product's placement within ZARA's website structure, helping to analyze navigation and product hierarchy.
• Geographical Focus: Specific to the UK market, making it relevant for studies on British fashion retail and consumer trends.
• Availability Status: Includes real-time availability data, which is crucial for understanding stock levels, popular products, and restocking practices.
• Unique Identifiers: Each product is tagged with a uniq_id, ensuring data integrity and making it easier to track and analyze over time.
• Data Collection Timestamp: The scraped_at field records the exact time and date when the data was collected, aiding in time-based analysis of inventory and pricing.

Potential Use Cases:

• Market Research: Analyze UK and European fashion trends, consumer preferences, and competitive positioning within the fast fashion sector.
• E-commerce Analysis: Study ZARA's product placement, pricing, and availability to optimize online retail strategies.
• Stock Management: Use SKU and availability data to predict inventory needs and enhance supply chain efficiency.
• Brand Analysis: Examine the impact of brand identity on consumer choices and product performance in the UK market.
• Academic Research: Ideal for research projects focused on fashion retail, marketing strategies, and consumer behavior in Europe.

Data Sources:

The data is meticulously collected from ZARA's official UK website and other reliable retail databases, reflecting the latest product offerings and market dynamics specific to the UK and European fashion markets.

• ZARA US Retail Products Dataset: Explore over 10,000 product records from ZARA's USA online store, including titles, prices, images, and availability.
  
  
• Fashion Products Dataset from GAP.com: Access detailed product information from GAP's online store, featuring over 4,500 fashion items with attributes like price, brand, color, reviews, and images.
  
  
• Myntra Fashion Products Dataset: A comprehensive dataset from Myntra.com, offering over 12,000 fashion products with detailed attributes for in-depth analysis.

Contains a first estimate of retail sales in volume and value terms, seasonally and non-seasonally adjusted Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: RSI

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

Standard error reference tables for the Retail Sales Index in Great Britain.

CE Vision Europe is a merchant attributable transaction data set tracking credit, debit, direct debit, and direct transfer consumer spend in Austria, France, Germany, Italy, Spain, and the UK. Track market share, customer insights, retail shopping patterns by demo and geo, and market dynamics.

United Kingdom Retail Sales Index: Value: NF: NS: Pharmaceutical, Medical, Cosm data was reported at 137.000 1995=100 in Jul 2003. This stayed constant from the previous number of 137.000 1995=100 for Jun 2003. United Kingdom Retail Sales Index: Value: NF: NS: Pharmaceutical, Medical, Cosm data is updated monthly, averaging 96.000 1995=100 from Jan 1986 (Median) to Jul 2003, with 211 observations. The data reached an all-time high of 183.000 1995=100 in Dec 2002 and a record low of 40.000 1995=100 in Jan 1986. United Kingdom Retail Sales Index: Value: NF: NS: Pharmaceutical, Medical, Cosm data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.H008: Retail Sales Index: Value: 1995=100.

View monthly updates and historical trends for UK Retail Sales YoY. from United Kingdom. Source: Office for National Statistics. Track economic data with …

An indicator of Economic Growth in the Scottish Retail sector. Source agency: Scottish Government Designation: National Statistics Language: English Alternative title: Scottish Retail Sales Index

In Great Britain, internet sales accounted for 26.8 percent of all retailing sales, as data from March 2025 showed. In February 2021, the share of online sales as a proportion of total retail reached its peak at 37.5 percent.