Retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

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 34 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 Y-on-Y in Japan, April, 2025 The most recent value is 3.3 percent as of April 2025, an increase compared to the previous value of 3.1 percent. Historically, the average for Japan from January 2003 to April 2025 is 0.92 percent. The minimum of -13.9 percent was recorded in April 2020, while the maximum of 12 percent was reached in April 2021. | TheGlobalEconomy.com

Retail sales Y-on-Y in Vietnam, May, 2025 The most recent value is 6.98 percent as of May 2025, an increase compared to the previous value of 5.65 percent. Historically, the average for Vietnam from January 2005 to May 2025 is 8.02 percent. The minimum of -33.7 percent was recorded in August 2021, while the maximum of 50.2 percent was reached in August 2022. | TheGlobalEconomy.com

Descriptions and categories of the Internet Sales Index and their percentage of all retailing for Great Britain.

Retail Sales in the United States decreased 0.90 percent in May 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.

Due to the coronavirus (Covid-19) crisis and social distancing measures the UK government took, retail footfall data following March 2020 saw an unprecedented fall. In the United Kingdom (UK), visitor numbers to retail locations were generally in decline, but for retail parks the decline was less dramatic. Over the period displayed here, footfall has slightly recovered, with positive year-on-year change in shopper numbers across retail parks occuring in August, September, and October 2024. In the most recent period, May 2025, footfall in retail parks increased by *** percent compared to the previous year.

Rental rates for standard retail in the United Kingdom are forecast to see an annualized growth of *** percent in the period between 2025 and 2029, according to a May 2025 forecast. Rents are expected to grow the fastest in 2025, at *** percent. Over the five-year period, standard retail was forecast to generate an annualized total return of *** percent. That was lower than the average return on investment for all commercial property types in the UK.

Retail sales Y-on-Y in France, May, 2025 The most recent value is 2.53 percent as of May 2025, a decline compared to the previous value of 3.03 percent. Historically, the average for France from January 2000 to May 2025 is 2.73 percent. The minimum of -30.91 percent was recorded in April 2020, while the maximum of 43.96 percent was reached in April 2021. | TheGlobalEconomy.com

Online Retail Transaction Data

UK Online Retail Sales and Customer Transaction Data

By UCI [source]

About this dataset

Comprehensive Dataset on Online Retail Sales and Customer Data

Welcome to this comprehensive dataset offering a wide array of information related to online retail sales. This data set provides an in-depth look at transactions, product details, and customer information documented by an online retail company based in the UK. The scope of the data spans vastly, from granular details about each product sold to extensive customer data sets from different countries.

This transnational data set is a treasure trove of vital business insights as it meticulously catalogues all the transactions that happened during its span. It houses rich transactional records curated by a renowned non-store online retail company based in the UK known for selling unique all-occasion gifts. A considerable portion of its clientele includes wholesalers; ergo, this dataset can prove instrumental for companies looking for patterns or studying purchasing trends among such businesses.

The available attributes within this dataset offer valuable pieces of information:

• InvoiceNo: This attribute refers to invoice numbers that are six-digit integral numbers uniquely assigned to every transaction logged in this system. Transactions marked with 'c' at the beginning signify cancellations - adding yet another dimension for purchase pattern analysis.

• StockCode: Stock Code corresponds with specific items as they're represented within the inventory system via 5-digit integral numbers; these allow easy identification and distinction between products.

• Description: This refers to product names, giving users qualitative knowledge about what kind of items are being bought and sold frequently.

• Quantity: These figures ascertain the volume of each product per transaction – important figures that can help understand buying trends better.

• InvoiceDate: Invoice Dates detail when each transaction was generated down to precise timestamps – invaluable when conducting time-based trend analysis or segmentation studies.

• UnitPrice: Unit prices represent how much each unit retails at — crucial for revenue calculations or cost-related analyses.

Finally,

• Country: This locational attribute shows where each customer hails from, adding geographical segmentation to your data investigation toolkit.

This dataset was originally collated by Dr Daqing Chen, Director of the Public Analytics group based at the School of Engineering, London South Bank University. His research studies and business cases with this dataset have been published in various papers contributing to establishing a solid theoretical basis for direct, data and digital marketing strategies.

Access to such records can ensure enriching explorations or formulating insightful hypotheses about consumer behavior patterns among wholesalers. Whether it's managing inventory or studying transactional trends over time or spotting cancellation patterns - this dataset is apt for multiple forms of retail analysis

How to use the dataset

1. Sales Analysis:

Sales data forms the backbone of this dataset, and it allows users to delve into various aspects of sales performance. You can use the Quantity and UnitPrice fields to calculate metrics like revenue, and further combine it with InvoiceNo information to understand sales over individual transactions.

2. Product Analysis:

Each product in this dataset comes with its unique identifier (StockCode) and its name (Description). You could analyse which products are most popular based on Quantity sold or look at popularity per transaction by considering both Quantity and InvoiceNo.

3. Customer Segmentation:

If you associated specific business logic onto the transactions (such as calculating total amounts), then you could use standard machine learning methods or even RFM (Recency, Frequency, Monetary) segmentation techniques combining it with 'CustomerID' for your customer base to understand customer behavior better. Concatenating invoice numbers (which stand for separate transactions) per client will give insights about your clients as well.

4. Geographical Analysis:

The Country column enables analysts to study purchase patterns across different geographical locations.

Practical applications

Understand what products sell best where - It can help drive tailored marketing strategies. Anomalies detection – Identify unusual behaviors that might lead frau...

Retail sales Y-on-Y in Taiwan, April, 2025 The most recent value is -2.59 percent as of April 2025, a decline compared to the previous value of -2.12 percent. Historically, the average for Taiwan from January 2000 to April 2025 is 1.25 percent. The minimum of -15.24 percent was recorded in June 2021, while the maximum of 20.11 percent was reached in January 2011. | TheGlobalEconomy.com

Retail sales Y-on-Y in Benin, December, 2024 The most recent value is 4.9 percent as of Q4 2024, an increase compared to the previous value of -3.21 percent. Historically, the average for Benin from Q1 2013 to Q4 2024 is 3.09 percent. The minimum of -47.48 percent was recorded in Q2 2020, while the maximum of 52.64 percent was reached in Q3 2015. | TheGlobalEconomy.com

Reporting periods for the Retail Sales Index in Great Britain.

Norway Retail Sales Index: Vol: sa: Specialised Store: ON: FH: Household Equipment data was reported at 209.700 2000=100 in Dec 2008. This records a decrease from the previous number of 210.000 2000=100 for Nov 2008. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: FH: Household Equipment data is updated monthly, averaging 69.400 2000=100 from Jan 1979 (Median) to Dec 2008, with 360 observations. The data reached an all-time high of 232.000 2000=100 in Apr 2008 and a record low of 47.300 2000=100 in Jan 1979. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: FH: Household Equipment 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.

Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Textiles data was reported at 145.800 2000=100 in Dec 2008. This records an increase from the previous number of 144.000 2000=100 for Nov 2008. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Textiles data is updated monthly, averaging 75.000 2000=100 from Jan 1979 (Median) to Dec 2008, with 360 observations. The data reached an all-time high of 154.700 2000=100 in Nov 2007 and a record low of 53.400 2000=100 in Dec 1988. Norway Retail Sales Index: Vol: sa: Specialised Store: ON: Textiles 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.

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 23 percent from the previous year. Meanwhile, in December 2024, retail spending increased by nearly five percent on the last year.

The extent to which individual businesses in Great Britain experienced actual changes in their sales.

(CDID: IDIG) Month - Retail Sales Index time series A first estimate of retail sales in value and volume terms for Great Britain, seasonally and non-seasonally adjusted.

Retail sales Y-on-Y in Germany, April, 2025 The most recent value is 2.38 percent as of April 2025, a decline compared to the previous value of 3.3 percent. Historically, the average for Germany from January 1995 to April 2025 is 0.58 percent. The minimum of -7.81 percent was recorded in March 2023, while the maximum of 14.14 percent was reached in January 2022. | TheGlobalEconomy.com

(CDID: EAJF) Month - Retail Sales Index time series A first estimate of retail sales in value and volume terms for Great Britain, seasonally and non-seasonally adjusted.