100+ datasets found
  1. G

    Retail e-commerce sales, inactive

    • open.canada.ca
    • ouvert.canada.ca
    • +2more
    csv, html, xml
    Updated Mar 24, 2023
    + more versions
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    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).

  2. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated May 19, 2025
    + more versions
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    (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.

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

    • data.europa.eu
    csv, html, tsv, xml
    + more versions
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    Eurostat, E-commerce sales of enterprises by NACE Rev. 2 activity [Dataset]. https://data.europa.eu/data/datasets/welnica5mmw26o3cisijga?locale=en
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    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

  4. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    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.

  5. Revenue of the e-commerce industry in the United States 2017-2029

    • statista.com
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    Statista, Revenue of the e-commerce industry in the United States 2017-2029 [Dataset]. https://www.statista.com/statistics/272391/us-retail-e-commerce-sales-forecast/
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    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 modeled to amount to 1.18 trillion U.S. dollars in 2024. Following a continuous upward trend, the revenue has risen by 754.29 billion U.S. dollars since 2017. Between 2024 and 2029, the revenue will rise by 655.91 billion U.S. dollars, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on eCommerce.

  6. Mail-order and e-commerce sales of electronics and appliances 2003-2022

    • statista.com
    Updated Feb 26, 2024
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    Statista (2024). Mail-order and e-commerce sales of electronics and appliances 2003-2022 [Dataset]. https://www.statista.com/statistics/185448/us-online-shops-and-mail-order-houses-sales-figures-for-electronics/
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    Dataset updated
    Feb 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sales for electronics and appliances of U.S. electronic shopping and mail-order houses have increased since 2003. The most significant growth was reported in 2021, when e-commerce sales hit over 86 billion U.S. dollars, up from nearly 51 billion U.S. dollars in 2019. In 2022, e-commerce sales slightly decreased to 85.5 billion U.S. dollars.

  7. E-Commerce Retail Sales Series Data Collection

    • kaggle.com
    Updated Dec 7, 2019
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    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
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    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.

  8. A

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

    • analyst-2.ai
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    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
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    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 ---

  9. Retail e-commerce sales growth worldwide 2017-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Retail e-commerce sales growth worldwide 2017-2028 [Dataset]. https://www.statista.com/statistics/288487/forecast-of-global-b2c-e-commerce-growth/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017 - 2028
    Area covered
    Worldwide
    Description

    In 2024, global e-commerce sales grew by *** percent compared to the previous year. In that period, e-commerce accounted for approximately ** percent of all retail sales worldwide. Asian countries lead the way According to an estimate, China and Indonesia ranked **************** respectively on the list of countries with the greatest share of retail sales projected to take place online in 2023. Following the same trend, estimates also revealed that the three fastest-growing retail e-commerce countries in the world are all in Asia. Amazon on top When looking at the leading e-commerce companies worldwide, as opposed to the leading e-commerce countries, ****** is the clear market leader with a market cap of over************n U.S. dollars as of March 2025. Not only that, but the *************************** company is also by far the***** visited online marketplace in the world, with approximately *** billion monthly visits.

  10. Retail e-commerce sales in the U.S. 2000-2024

    • statista.com
    Updated May 28, 2025
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    Statista (2025). Retail e-commerce sales in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/183750/us-retail-e-commerce-sales-figures/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, retail e-commerce sales in the United States reached an estimated **** billion U.S. dollars, roughly double the sales value reached in 2019. E-commerce's growth trajectory Driven by the escalating integration of technology into daily life, e-commerce has witnessed a remarkable surge in popularity. Projections indicate a significant uptick in e-commerce users in the United States, rising from *** million in 2025 to over *** million by 2029. As of 2023, apparel and accessories ranked as the most sought-after e-commerce product category, comprising over ** percent of all retail sales in the U.S. This trend persists despite inflationary pressures, positioning this category among the e-commerce segments experiencing the most significant year-on-year price changes. M-commerce users demographic While the demand for the convenience of purchasing from the palm of one's hand is also rapidly increasing, various demographic factors influence mobile commerce usage. There's a higher proportion of male online shoppers than females, with a split of ** percent versus ** percent. Age is another determinant. Younger consumers exhibit a greater inclination towards m-commerce, with ** percent of mobile shoppers falling within the ** to ** age bracket. Furthermore, income levels also shape mobile shopping habits, with individuals earning less than ****** U.S. dollars annually showing the highest propensity for mobile-based purchases.

  11. E-commerce sales - Business Environment Profile

    • ibisworld.com
    Updated Jul 25, 2025
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    IBISWorld (2025). E-commerce sales - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/e-commerce-sales/88088
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    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.

  12. Leading U.S. retailers 2021, by e-commerce sales

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Leading U.S. retailers 2021, by e-commerce sales [Dataset]. https://www.statista.com/statistics/976083/leading-companies-ranked-retail-ecommerce-sales-usa/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2021
    Area covered
    United States
    Description

    Amazon is by far the leading U.S. company in the e-commerce space. According to forecasts, online sales through Jeff Bezos' platform were set to reach more than *** billion dollars in 2021. Coming in a distant second is retail chain Walmart, with sales expected to surpass ** billion dollars, and followed in third place by e-commerce company eBay, with sales of about **** billion dollars.

  13. d

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

    • datarade.ai
    Updated Dec 1, 2023
    + more versions
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    APISCRAPY (2023). 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
    Dec 1, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Switzerland, Ukraine, Norway, Isle of Man, Spain, Malta, China, Åland Islands, Bosnia and Herzegovina, United States of America
    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]

  14. G

    Amusement and recreation, e-commerce sales

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Nov 4, 2024
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    Statistics Canada (2024). Amusement and recreation, e-commerce sales [Dataset]. https://open.canada.ca/data/en/dataset/a8d93405-e016-427b-bb4d-db36769d0194
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Nov 4, 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

    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.

  15. u

    E-commerce Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Oct 25, 2023
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    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.

  16. Data from: E-commerce and ICT activity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 5, 2021
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    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

  17. Canada Retail E-Commerce Sales

    • ceicdata.com
    Updated Jan 15, 2025
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    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.

  18. 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
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    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.

  19. E-commerce sales growth in the U.S. 2013-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). E-commerce sales growth in the U.S. 2013-2020 [Dataset]. https://www.statista.com/statistics/241449/forecast-of-b2c-e-commerce-growth-in-the-united-states/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The COVID-19 pandemic led to an unprecedented increase in e-commerce sales in the United States. According to forecasts, by 2020, web sales in the U.S. will have grown by **** percent over the previous year. In addition, online retail sales in the North American country were set to exceed the trillion-dollar mark by 2022.

  20. Food services and drinking places, e-commerce sales

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 18, 2025
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    Government of Canada, Statistics Canada (2025). Food services and drinking places, e-commerce sales [Dataset]. http://doi.org/10.25318/2110023201-eng
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    E-commerce sales for North American Industry Classification System (NAICS) food services and drinking places, includes all members under sales, for Canada, for one year of data.

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Statistics Canada (2023). Retail e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/0ffbe1ee-7fa7-4369-ac78-a01c8175e1a6

Retail e-commerce sales, inactive

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).

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