Chain Store Sales in the United States decreased to 708.95 USD Million in September from 745.37 USD Million in August of 2025. This dataset provides the latest reported value for - United States Chain Store Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

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.

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

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.

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.

Inspiration

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Japan Chain Store Sales: Service data was reported at 2.603 JPY bn in Jun 2018. This records an increase from the previous number of 2.602 JPY bn for May 2018. Japan Chain Store Sales: Service data is updated monthly, averaging 8.707 JPY bn from Feb 1993 (Median) to Jun 2018, with 305 observations. The data reached an all-time high of 26.820 JPY bn in Dec 1996 and a record low of 2.204 JPY bn in Feb 2017. Japan Chain Store Sales: Service data remains active status in CEIC and is reported by Japan Chain Stores Association. The data is categorized under Global Database’s Japan – Table JP.H007: Chain Store: Sales.

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

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

Graph and download economic data for Retail Sales: Department Stores (DISCONTINUED) (MRTSSM4521EUSS) from Jan 1992 to Feb 2025 about retail trade, sales, retail, and USA.

Key information about Israel Retail Sales Growth

• Israel Retail Sales grew 8.5 % YoY in Sep 2025, compared with a 8.5 % increase in the previous month.
• Israel Retail Sales Growth YoY data is updated monthly, available from Jan 1998 to Sep 2025, with an average growth rate of 4.5 %.
• The data reached an all-time high of 42.7 % in Apr 2021 and a record low of -27.9 % in May 2017.
• In the latest reports, Car Sales of Israel recorded 307,410.0 units in Dec 2024, representing a drop of 0.3 %.

CEIC calculates monthly Retail Sales: Incl. Motor Vehicles Growth from monthly Chain Store Sales Value Index. The Central Bureau of Statistics provides Chain Store Sales Value Index with base 2020=100. Chain Store Sales Value Index which covers Consumption Goods only, and excludes Fuel and Gas is used. Retail Sales: Incl. Motor Vehicles Growth prior to January 2019 is calculated from Chain Store Sales Value Index with base 2008=100. Retail Sales: Incl. Motor Vehicles Growth prior to January 2001 is calculated from Chain Store Sales Value Index with base 1995=100.

Graph and download economic data for Advance Retail Sales: Department Stores (RSDSELD) from Jan 1992 to Mar 2025 about leases, retail trade, sales, retail, and USA.

Retail Sales in the United States increased 4.30 percent in September of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Dirty Retail Store Sales Dataset

Overview

The Dirty Retail Store Sales dataset contains 12,575 rows of synthetic data representing sales transactions from a retail store. The dataset includes eight product categories with 25 items per category, each having static prices. It is designed to simulate real-world sales data, including intentional "dirtiness" such as missing or inconsistent values. This dataset is suitable for practicing data cleaning, exploratory data analysis (EDA), and feature engineering.

File Information

• File Name: retail_store_sales.csv
• Number of Rows: 12,575
• Number of Columns: 11

Columns Description

Column Name	Description	Example Values
Transaction ID	A unique identifier for each transaction. Always present and unique.	TXN_1234567
Customer ID	A unique identifier for each customer. 25 unique customers.	CUST_01
Category	The category of the purchased item.	Food, Furniture
Item	The name of the purchased item. May contain missing values or None.	Item_1_FOOD, None
Price Per Unit	The static price of a single unit of the item. May contain missing or None values.	4.00, None
Quantity	The quantity of the item purchased. May contain missing or None values.	1, None
Total Spent	The total amount spent on the transaction. Calculated as Quantity * Price Per Unit.	8.00, None
Payment Method	The method of payment used. May contain missing or invalid values.	Cash, Credit Card
Location	The location where the transaction occurred. May contain missing or invalid values.	In-store, Online
Transaction Date	The date of the transaction. Always present and valid.	2023-01-15
Discount Applied	Indicates if a discount was applied to the transaction. May contain missing values.	True, False, None

Categories and Items

The dataset includes the following categories, each containing 25 items with corresponding codes, names, and static prices:

Electric Household Essentials

Item Code	Item Name	Price
Item_1_EHE	Blender	5.0
Item_2_EHE	Microwave	6.5
Item_3_EHE	Toaster	8.0
Item_4_EHE	Vacuum Cleaner	9.5
Item_5_EHE	Air Purifier	11.0
Item_6_EHE	Electric Kettle	12.5
Item_7_EHE	Rice Cooker	14.0
Item_8_EHE	Iron	15.5
Item_9_EHE	Ceiling Fan	17.0
Item_10_EHE	Table Fan	18.5
Item_11_EHE	Hair Dryer	20.0
Item_12_EHE	Heater	21.5
Item_13_EHE	Humidifier	23.0
Item_14_EHE	Dehumidifier	24.5
Item_15_EHE	Coffee Maker	26.0
Item_16_EHE	Portable AC	27.5
Item_17_EHE	Electric Stove	29.0
Item_18_EHE	Pressure Cooker	30.5
Item_19_EHE	Induction Cooktop	32.0
Item_20_EHE	Water Dispenser	33.5
Item_21_EHE	Hand Blender	35.0
Item_22_EHE	Mixer Grinder	36.5
Item_23_EHE	Sandwich Maker	38.0
Item_24_EHE	Air Fryer	39.5
Item_25_EHE	Juicer	41.0

Furniture

Item Code	Item Name	Price
Item_1_FUR	Office Chair	5.0
Item_2_FUR	Sofa	6.5
Item_3_FUR	Coffee Table	8.0
Item_4_FUR	Dining Table	9.5
Item_5_FUR	Bookshelf	11.0
Item_6_FUR	Bed F...

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

Japan Chain Store Sales data was reported at 1,064.149 JPY bn in Oct 2018. This records an increase from the previous number of 1,036.383 JPY bn for Sep 2018. Japan Chain Store Sales data is updated monthly, averaging 1,165.409 JPY bn from Feb 1993 (Median) to Oct 2018, with 309 observations. The data reached an all-time high of 1,866.451 JPY bn in Dec 1996 and a record low of 914.020 JPY bn in Feb 2013. Japan Chain Store Sales data remains active status in CEIC and is reported by Japan Chain Stores Association. The data is categorized under Global Database’s Japan – Table JP.H007: Chain Store: Sales.

United States Retail Sales Nowcast: sa: YoY: Contribution: Retail Sales: Johnson Redbook Index data was reported at 0.101 % in 12 May 2025. This stayed constant from the previous number of 0.101 % for 05 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Retail Sales: Johnson Redbook Index data is updated weekly, averaging 0.000 % from Feb 2020 (Median) to 12 May 2025, with 274 observations. The data reached an all-time high of 13.903 % in 12 Aug 2024 and a record low of 0.000 % in 14 Apr 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Retail Sales: Johnson Redbook Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

In 2022, click-and-collect sales in the United States were forecast to grow **** percent compared to the previous year. After increasing by more than 100 percent during the first year of the COVID-19 pandemic, click-and-collect retail sales were expected to continue to grow in the near future, albeit at a slower rate.