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

View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

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.

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.

📜 Dataset Overview

This dataset contains 3,400 records of fashion retail sales, capturing various details about customer purchases, including item details, purchase amounts, ratings, and payment methods. It is useful for analyzing customer buying behavior, product popularity, and payment preferences.

📂 Dataset Details

Column Name	Data Type	Non-Null Count	Description
Customer Reference ID	Integer	3,400	A unique identifier for each customer.
Item Purchased	String	3,400	The name of the fashion item purchased.
Purchase Amount (USD)	Float	2,750	The purchase price of the item in USD (650 missing values).
Date Purchase	String	3,400	The date on which the purchase was made (format: DD-MM-YYYY).
Review Rating	Float	3,076	The customer review rating (scale: 1 to 5, 324 missing values).
Payment Method	String	3,400	The payment method used (e.g., Credit Card, Cash).

🔍 Key Insights

• The dataset contains 3,400 transactions.
• Missing values are present in:
  • Purchase Amount (USD): 650 missing values
  • Review Rating: 324 missing values
• Payment Method includes multiple categories, allowing analysis of payment trends.
• Date Purchase is in DD-MM-YYYY format, which can be useful for time-series analysis.
• The dataset can help analyze sales trends, customer preferences, and payment behaviors in the fashion retail industry.

📊 Potential Use Cases

• Sales Analysis: Understanding which fashion items are selling the most.
• Customer Insights: Analyzing purchase behaviors and spending patterns.
• Trend Forecasting: Identifying seasonal trends in fashion retail.
• Payment Method Preferences: Understanding how customers prefer to pay.

Global retail sales were projected to amount to around **** trillion U.S. dollars by 2026, up from approximately **** trillion U.S. dollars in 2021. The retail industry encompasses the journey of a good or service. This typically starts with the manufacturing of a product and ends with said product being purchased by a consumer from a retailer. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. American retailers worldwide As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail. Retail in the U.S. The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

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.

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

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_65e4d47c3616d251f9a84ec1ad28f43c/view

In 2020, global retail sales fell by 2.9 percent as a result of the COVID-19 pandemic, bouncing back in 2021 with a growth of 9.7 percent Global retail sales were projected to amount to around 27.3 trillion U.S. dollars by 2022, up from approximately 23.7 trillion U.S. dollars in 2020.

American retailers worldwide
As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail.

Retail in the U.S.
The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

Metadata

Description:

This dataset contains 100,000 records of sales transactions from a retail business. It includes information such as product ID, transaction date, price, quantity sold, customer demographics, and payment method. This data can be used for various tasks such as sales trend analysis, customer segmentation, and demand forecasting.

Columns:

• TransactionID: Unique identifier for each sales transaction.
• ProductID: Unique identifier for each product sold.
• Date: Date when the transaction occurred.
• Price: The price of the product.
• Quantity: The quantity of the product sold in the transaction.
• CustomerID: Unique identifier for each customer.
• PaymentMethod: The payment method used (e.g., credit card, cash).
• Region: Geographical region where the transaction took place.

Potential Use Cases:

• Sales forecasting
• Product demand analysis
• Customer segmentation and behavior analysis
• Marketing insights
• ML Prediction

tags: - Sales - Retail - Transactions - E-commerce - Business Analytics - Machine Learning

licenses: - MIT

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.

Between June 2024 and June 2025, the sports goods and apparel category experienced the highest sales growth of ** percent in the retail trade industry in India. In comparison, the sales growth for beauty, wellness, and personal care was *** percent during that year.

Key information about United States Retail Sales Growth

• United States Retail Sales grew 4.1 % YoY in Sep 2025, compared with a 4.9 % increase in the previous month.
• US Retail Sales Growth YoY data is updated monthly, available from Jan 1993 to Sep 2025, with an average growth rate of -8.8 %.
• The data reached an all-time high of 42.0 % in Apr 2021 and a record low of -15.8 % in Apr 2020.
• In the latest reports, Car Sales of US recorded 1,491,440.0 units in Aug 2025, representing a growth of 2.4 %.

CEIC calculates monthly Retail Sales: Excl. Motor Vehicles Growth from monthly Retail Sales excluding Motor Vehicle and Parts. The U.S. Census Bureau provides Retail Sales excluding Motor Vehicle and Parts in USD. Retail Sales include Food Services.

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

View monthly updates and historical trends for US Real Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

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

Variable	Description
fips	2-digit State Federal Information Processing Standards (FIPS) code. For more information on FIPS Codes, please reference this document. Note: The US is assigned a "00" State FIPS code.
state_abbr	States are assigned 2-character official U.S. Postal Service Code. The United States is assigned "USA" as its state_abbr value. For more information, please reference this document.
naics	Three-digit numeric NAICS value for retail subsector code.
subsector	Retail subsector.
year	Year.
month	Month.
change_yoy	Numeric year-over-year percent change in retail sales value.
change_yoy_se	Numeric standard error for year-over-year percentage change in retail sales value.
coverage_code	Character values assigned based on the non-imputed coverage of the data.

Variable	Description
coverage_code	Character values assigned based on the non-imputed coverage of the data.
coverage	Definition of the codes.

Acknowledgements

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

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This statistic shows a trend in total retail sales, including food services, in the United States from January 2017 to July 2025. In July 2025, U.S. retail sales had amounted to an estimated *********** U.S. dollars (not adjusted), which is an increase of approximately ** ******* U.S. dollars compared to the same month one year earlier.

Key information about Egypt Retail Sales Growth

• Egypt Retail Sales grew 25.1 % YoY in Jun 2022, compared with a 0.4 % increase in the previous year.
• Egypt Retail Sales Growth YoY data is updated yearly, available from Jun 1996 to Jun 2022, with an average growth rate of -24.8 %.
• The data reached an all-time high of 71.6 % in Jun 2006 and a record low of -38.8 % in Jun 2015.
• In the latest reports, Car Sales of Egypt recorded 96,862.0 units in Dec 2024, representing a growth of 12.6 %.

*This indicator will be no longer available from March 2026, 4th onwards. CEIC has a plan to remove the non-standard frequency indicator after the standard frequency indicator has been added and be available on this table. CEIC calculates annual Retail Sales: Excl. Motor Vehicles Growth from annual Retail Trade. Motor Vehicle Sales are subtracted from Retail Trade. The Central Agency for Public Mobilization and Statistics provides Retail Trade in local currency. Retail Sales cover Public sector only. Retail Sales are in annual frequency, ending in June of each year.

Graph and download economic data for Advance Retail Sales: Retail Trade (RSXFS) from Jan 1992 to Aug 2025 about retail trade, sales, retail, services, and USA.