100+ datasets found
  1. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated May 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  2. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  3. Quarterly U.S. e-commerce retail sales 2009-2025

    • statista.com
    Updated Jul 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Quarterly U.S. e-commerce retail sales 2009-2025 [Dataset]. https://www.statista.com/statistics/187443/quarterly-e-commerce-sales-in-the-the-us/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From January to March 2025, U.S. retail e-commerce sales amounted to roughly *** billion U.S. dollars, marking a small decrease compared to the previous quarter. Overall, retail e-commerce sales outdid the quarterly sales records registered in 2020. E-commerce in the post-pandemic era During the second quarter of 2020, as COVID-19 spread across the globe, the U.S.'s quarterly e-commerce revenue reached *** billion for the first time in history. In 2021, online retail sales account for**** percent of total retail in the United States. Clothing and accessories, including footwear, is one of the largest B2C e-commerce merchandise categories. Retail e-commerce sales in the United States are estimated from samples used for the Monthly Retail Trade Survey and exclude online travel services, ticket sales agencies, and financial brokers. Latest trend? Quick commerce Shoppers expect fast delivery of their purchases, especially when it comes to grocery products. This segment of the e-commerce industry goes under quick commerce and is expected to generate increasing revenue in the next years. Major quick commerce companies like Instacart or Uber Eat operate in the United States, where the quick commerce market is forecast to hit nearly ** billion U.S. dollars by 2027.

  4. E-commerce sales of enterprises by NACE Rev. 2 activity

    • data.europa.eu
    csv, html, tsv, xml
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Eurostat, E-commerce sales of enterprises by NACE Rev. 2 activity [Dataset]. https://data.europa.eu/data/datasets/welnica5mmw26o3cisijga?locale=en
    Explore at:
    xml(15400), html, tsv(2386201), xml(3485892), csv(4939952)Available download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    E-commerce sales of enterprises by NACE Rev. 2 activity

  5. G

    Retail e-commerce sales, inactive

    • open.canada.ca
    • ouvert.canada.ca
    • +2more
    csv, html, xml
    Updated Mar 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Retail e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/0ffbe1ee-7fa7-4369-ac78-a01c8175e1a6
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

  6. E-Commerce Retail Sales Series Data Collection

    • kaggle.com
    Updated Dec 7, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    US Census Bureau (2019). E-Commerce Retail Sales Series Data Collection [Dataset]. https://www.kaggle.com/datasets/census/e-commerce-retail-sales-series-data-collection
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 7, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    US Census Bureau
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

  7. E-commerce sales as a share of Nestlé's group sales worldwide 2012-2024

    • statista.com
    Updated Jun 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). E-commerce sales as a share of Nestlé's group sales worldwide 2012-2024 [Dataset]. https://www.statista.com/statistics/685570/e-commerce-sales-share-of-nestle/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, e-commerce had a share of **** percent of Nestlé's group revenue worldwide. This constitutes to an increase of *** percent in comparison to the previous year.

  8. u

    E-commerce Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Oct 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Upmetrics (2023). E-commerce Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/ecommerce-statistics
    Explore at:
    webpageAvailable download formats
    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    Upmetrics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    A comprehensive dataset providing key insights into the eCommerce industry, including global retail online sales projections, number of eCommerce stores, digital buyer statistics, revenue growth in the United States, sector-wise revenue details with a focus on consumer electronics, average conversion rates, and mobile commerce sales forecasts.

  9. E-commerce sales - Business Environment Profile

    • ibisworld.com
    Updated Jul 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). E-commerce sales - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/e-commerce-sales/88088
    Explore at:
    Dataset updated
    Jul 25, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    This driver measures the value of retail sales conducted online in the United States. Data is sourced from the US Census Bureau and is presented in 2017 dollars.

  10. Revenue of the e-commerce industry in the U.S. 2019-2029

    • statista.com
    • ai-chatbox.pro
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Revenue of the e-commerce industry in the U.S. 2019-2029 [Dataset]. https://www.statista.com/statistics/272391/us-retail-e-commerce-sales-forecast/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The revenue in the e-commerce market in the United States was forecast to continuously increase between 2025 and 2029 by in total 498.2 billion U.S. dollars (+37.16 percent). After the tenth consecutive increasing year, the revenue is estimated to reach 1.8 trillion U.S. dollars and therefore a new peak in 2029. Notably, the revenue of the e-commerce market was continuously increasing over the past years.Find other key market indicators concerning the average revenue per user (ARPU) and number of users. The Statista Market Insights cover a broad range of additional markets.

  11. A

    ‘E-Commerce Sales Dataset 🛒’ analyzed by Analyst-2

    • analyst-2.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘E-Commerce Sales Dataset 🛒’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-e-commerce-sales-dataset-37bf/2e233ef1/?iid=003-011&v=presentation
    Explore at:
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘E-Commerce Sales Dataset 🛒’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/berkayalan/ecommerce-sales-dataset on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    This dataset contains sales details of an E-Commerce platform. It covers 20.000 unique customers and 150.000 basket transactions.

    Datasets

    Customer Details

    • customer_id: Unique ID given to the Customer.
    • sex: Sex of customer.
    • customer_age: Age of customer.
    • tenure: tenure of customer as month
    Basket Details
    • customer_id: Unique ID given to the Customer.
    • product_id: Unique ID of the product which has been added to the basket by the customer.
    • basket_date: Date of transaction.
    • basket_count: How many times this event occured during this date?

    --- Original source retains full ownership of the source dataset ---

  12. d

    Ecommerce Data - Product data, Seller data, Market data, Pricing data|...

    • datarade.ai
    Updated Jan 29, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    APISCRAPY (2024). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 29, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Ukraine, China, Åland Islands, Norway, Bosnia and Herzegovina, United States of America, Spain, Isle of Man, Malta, Switzerland
    Description

    Note:- Only publicly available data can be worked upon

    In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

    APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

    APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

    1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

    2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

    3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

    4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

    5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

    Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

    To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

    Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

    [Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

  13. Amusement and recreation, e-commerce sales

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Nov 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2024). Amusement and recreation, e-commerce sales [Dataset]. http://doi.org/10.25318/2110010401-eng
    Explore at:
    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Amusement and recreation, e-commerce sales, by North American Industry Classification System (NAICS) 7131 Amusement parks and arcades, (NAICS) 7139 Other amusement and recreation industries, which includes all members under Sales, (dollars X 1,000,000), annual (percent), for five years of data.

  14. Canada Retail E-Commerce Sales

    • ceicdata.com
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Canada Retail E-Commerce Sales [Dataset]. https://www.ceicdata.com/en/canada/retail-ecommerce-sales/retail-ecommerce-sales
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2022 - Jan 1, 2023
    Area covered
    Canada
    Variables measured
    Domestic Trade
    Description

    Canada Retail E-Commerce Sales data was reported at 4,425,564.000 CAD th in Dec 2022. This records a decrease from the previous number of 4,499,923.000 CAD th for Nov 2022. Canada Retail E-Commerce Sales data is updated monthly, averaging 1,878,200.500 CAD th from Jan 2016 (Median) to Dec 2022, with 84 observations. The data reached an all-time high of 4,943,411.000 CAD th in Dec 2020 and a record low of 789,553.000 CAD th in Feb 2016. Canada Retail E-Commerce Sales data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H021: Retail E-Commerce Sales.

  15. E-Commerce Sale List

    • dataandsons.com
    csv, zip
    Updated Jun 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    BOGER (2023). E-Commerce Sale List [Dataset]. https://www.dataandsons.com/categories/sales-and-transactions/e-commerce-sale-list
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Authors
    BOGER
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2018 - Jun 14, 2023
    Description

    About this Dataset

    My list includes data and contacts from former customers. During the transaction, the customers have accepted that their data may be passed on to third parties. It is a list of over 15,000 customers and newsletter subscribers. The theme includes hip hop music, music production

    Category

    Sales & Transactions

    Keywords

    ecommerce,sales,Email List,dataset,transactions

    Row Count

    17455

    Price

    $100000.00

  16. eCommerce Revenue Analytics: skechers.com

    • ecommercedb.com
    Updated Apr 26, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECDB (2018). eCommerce Revenue Analytics: skechers.com [Dataset]. https://ecommercedb.com/store/skechers.com
    Explore at:
    Dataset updated
    Apr 26, 2018
    Dataset authored and provided by
    ECDB
    Area covered
    United States
    Description

    The online revenue of skechers.com amounted to US$151.2m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

  17. G

    Retail trade, total sales and e-commerce sales, inactive

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Feb 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2024). Retail trade, total sales and e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/89077c3a-cfe1-4b6c-a35f-015cb8688f47
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Feb 21, 2024
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    E-commerce sales and total sales for retail trade in Canada, available on an annual basis.

  18. T

    United States - E-Commerce Retail Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States - E-Commerce Retail Sales [Dataset]. https://tradingeconomics.com/united-states/e-commerce-retail-sales-mil-of-$-q-sa-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - E-Commerce Retail Sales was 300226.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - E-Commerce Retail Sales reached a record high of 300357.00000 in October of 2024 and a record low of 4467.00000 in October of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - E-Commerce Retail Sales - last updated from the United States Federal Reserve on August of 2025.

  19. E-commerce net sales of Alibaba Group 2016-2026

    • statista.com
    Updated May 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). E-commerce net sales of Alibaba Group 2016-2026 [Dataset]. https://www.statista.com/statistics/1295262/alibaba-ecommerce-sales-value/
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    Worldwide
    Description

    In 2021, Alibaba Group's net e-commerce sales amounted to an estimated 764 billion U.S. dollars globally. That figure is forecast to rise by more than 80 percent by 2026, reaching sales of nearly 1.4 trillion dollars.

  20. China CN: E-commerce: Sales Revenue: YoY: ytd: Business to Business

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). China CN: E-commerce: Sales Revenue: YoY: ytd: Business to Business [Dataset]. https://www.ceicdata.com/en/china/ecommerce-business-sales-revenue/cn-ecommerce-sales-revenue-yoy-ytd-business-to-business
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Jun 1, 2017
    Area covered
    China
    Variables measured
    Internet Statistics
    Description

    China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data was reported at 25.400 % in Jun 2017. This records an increase from the previous number of 18.180 % for Dec 2016. China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data is updated quarterly, averaging 25.650 % from Dec 2010 (Median) to Jun 2017, with 14 observations. The data reached an all-time high of 36.000 % in Dec 2011 and a record low of -13.700 % in Dec 2015. China E-commerce: Sales Revenue: YoY: Year to Date: Business to Business data remains active status in CEIC and is reported by China e-business Research Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICG: E-commerce: Business Sales Revenue.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA

E-Commerce Retail Sales as a Percent of Total Sales

ECOMPCTSA

Explore at:
62 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
May 19, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

Search
Clear search
Close search
Google apps
Main menu