100+ datasets found
  1. Target: sales share in the U.S. 2019 to 2024, by sales channel

    • statista.com
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Target: sales share in the U.S. 2019 to 2024, by sales channel [Dataset]. https://www.statista.com/statistics/1113287/sales-share-of-target-us-by-channel/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, 80.4 percent of Target Corporation's sales came from physical stores, a slight decrease from the previous year. As of 2023, Target accounted for roughly 1.9 percent of U.S. retail e-commerce sales.

  2. Target: number of stores in the U.S. 2025, by state

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Target: number of stores in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1113279/total-number-of-target-stores-by-state-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of February 1, 2025, California was the state with the most Target stores in the United States, with *** stores. The company had a total of ***** stores open throughout the United States that year.

  3. Target: net sales in the United States 2015-2024

    • statista.com
    Updated Apr 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Target: net sales in the United States 2015-2024 [Dataset]. https://www.statista.com/statistics/1113236/net-sales-of-target-in-the-us/
    Explore at:
    Dataset updated
    Apr 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Target Corporation operates a chain of general merchandise stores, which offer a wide variety of general merchandise and food to their customers. The company has operated primarily in the United States since its inception. Target did have a number of stores in operation in the Canadian market, but these were all closed in 2015. Target Corporation had net sales amounting to approximately 106.6 billion U.S. dollars in 2024, making it one of the leading American retailers. The development of an American retail giant The company started out as the Dayton Dry Goods Company in 1902, later changing its name to the Dayton Company, but more commonly known as Dayton’s. The company was run under the Dayton-Hudson Corporation banner up until the year 2000, when it was renamed Target Corporation. The company spread across the United States and even entered the Canadian market for brief period. Target Corporation has an impressive number of stores in the United States. Today, Target is one of the most valuable retail brands in the world. Where does Target’s revenue come from? Target Corporation sells a wide range of goods, such as food, apparel, household essentials, and seasonal offerings, as well as many others. The company also sells products online, through target.com. Target’s sales share is quite evenly distributed, with several high revenue segments.

  4. b

    Target Corporation Overview

    • bullfincher.io
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bullfincher, Target Corporation Overview [Dataset]. https://bullfincher.io/companies/target-corporation/overview
    Explore at:
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    Target Corporation operates as a general merchandise retailer in the United States. The company offers food assortments, including perishables, dry grocery, dairy, and frozen items; apparel, accessories, home décor products, electronics, toys, seasonal offerings, food, and other merchandise; and beauty and household essentials. It also provides in-store amenities, such as Target Café, Target Optical, Starbucks, and other food service offerings. The company sells its products through its stores; and digital channels, including Target.com. As of March 09, 2022, the company operated approximately 2,000 stores. Target Corporation was incorporated in 1902 and is headquartered in Minneapolis, Minnesota.

  5. Healthy People 2020 Final Progress Table

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Apr 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). Healthy People 2020 Final Progress Table [Dataset]. https://catalog.data.gov/dataset/healthy-people-2020-final-progress-table-eef88
    Explore at:
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    [1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. 3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. 4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. 5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed. [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100 [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100 [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta

  6. T

    Target | TGT - Sales Revenues

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Target | TGT - Sales Revenues [Dataset]. https://tradingeconomics.com/tgt:us:sales
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Apr 15, 2025
    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, 2000 - Aug 11, 2025
    Area covered
    United States
    Description

    Target reported $23.85B in Sales Revenues for its fiscal quarter ending in April of 2025. Data for Target | TGT - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

  7. Basic statistics of the recorded click source levels (SLs) and comparison...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Songhai Li; Paul E. Nachtigall; Marlee Breese; Alexander Ya. Supin (2023). Basic statistics of the recorded click source levels (SLs) and comparison between target-present and target-absent conditions (T-test for independent samples, i.e., variables were treated as independent samples). [Dataset]. http://doi.org/10.1371/journal.pone.0029793.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Songhai Li; Paul E. Nachtigall; Marlee Breese; Alexander Ya. Supin
    License

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

    Description

    Basic statistics of the recorded click source levels (SLs) and comparison between target-present and target-absent conditions (T-test for independent samples, i.e., variables were treated as independent samples).

  8. Retail Data | Retail Sector in North America | Comprehensive Contact...

    • datarade.ai
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai, Retail Data | Retail Sector in North America | Comprehensive Contact Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/retail-data-retail-sector-in-north-america-comprehensive-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

    With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

    Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

    Why Choose Success.ai’s Retail Data for North America?

    1. Verified Contact Data for Precision Outreach

      • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
      • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.
    2. Comprehensive Coverage Across Retail Segments

      • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
      • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.
    3. Continuously Updated Datasets

      • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
      • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
    • 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
    • Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
    • Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

    Key Features of the Dataset:

    1. Retail Decision-Maker Profiles

      • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
      • Target professionals responsible for inventory planning, vendor contracts, and store performance.
    2. Advanced Filters for Precision Targeting

      • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
      • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.
    3. Market Trends and Operational Insights

      • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
      • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
      • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.
    2. Market Research and Consumer Insights

      • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
      • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.
    3. E-Commerce and Digital Strategy Development

      • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
      • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.
    4. Recruitment and Workforce Solutions

      • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
      • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.
    2. Seamless Integration
      ...

  9. d

    Individual Target Data-Collection Points for the Main Portion of Prairie...

    • catalog.data.gov
    • search.dataone.org
    Updated Nov 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Individual Target Data-Collection Points for the Main Portion of Prairie Rose Lake, Shelby County, Iowa [Dataset]. https://catalog.data.gov/dataset/individual-target-data-collection-points-for-the-main-portion-of-prairie-rose-lake-shelby-
    Explore at:
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Shelby County, Iowa, Prairie Rose Lake
    Description

    Point coverage of bathymetry target points for the main portion of Prairie Rose Lake in Shelby Co., Iowa. The U.S. Geological Survey conducted a bathymetric survey of Prairie Rose Lake in 2004.

  10. e

    target.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). target.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/target.com
    Explore at:
    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Retail Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for target.com as of May 2025

  11. Social media traffic referrers to target.com 2023

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Social media traffic referrers to target.com 2023 [Dataset]. https://www.statista.com/statistics/1269464/social-media-traffic-referrers-to-target/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    Worldwide
    Description

    In December 2023, Pinterest was the top social media traffic referrer to target.com, responsible for 20 percent of referrals to Target's website. In second place was Reddit, with approximately 21 percent, followed closely by YouTube with about 19 percent.

  12. d

    Conservation Target SWAEI (WWF-004) - Datasets - data.wa.gov.au

    • catalogue.data.wa.gov.au
    Updated Dec 20, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Conservation Target SWAEI (WWF-004) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/conservation-target-swaei
    Explore at:
    Dataset updated
    Dec 20, 2017
    Description

    This is an approach to conservation planning that systematically identifies the highest priority biodiversity values and conservation areas that, combined, can achieve the most effective and efficient goals. These areas can include private land. Explicit targets are often set for the conservation of particular biodiversity values or features, such as species, vegetation or wetland types. Show full description

  13. R

    Target Image Segmentation Data Dataset

    • universe.roboflow.com
    zip
    Updated Apr 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aim Training Target Extraction (2025). Target Image Segmentation Data Dataset [Dataset]. https://universe.roboflow.com/aim-training-target-extraction/target-image-segmentation-data/model/5
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Aim Training Target Extraction
    License

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

    Variables measured
    Targets Polygons
    Description

    Target Image Segmentation Data

    ## Overview
    
    Target  Image Segmentation Data is a dataset for instance segmentation tasks - it contains Targets annotations for 293 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  14. U

    Individual Target Data-Collection Points for Lake Darling, Washington...

    • data.usgs.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Feb 14, 2007
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States Geological Survey (2007). Individual Target Data-Collection Points for Lake Darling, Washington County, Iowa [Dataset]. http://doi.org/10.5066/P96SGYYT
    Explore at:
    Dataset updated
    Feb 14, 2007
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2004
    Area covered
    Washington County, Lake Darling, Iowa
    Description

    Point coverage of bathymetry target points for Lake Darling in Washington Co., Iowa. The U.S. Geological Survey conducted a bathymetric survey of Lake Darling in 2004.

  15. i

    Grant Giving Statistics for On Target Outfitters

    • instrumentl.com
    Updated Mar 8, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Grant Giving Statistics for On Target Outfitters [Dataset]. https://www.instrumentl.com/990-report/on-target-outfitters
    Explore at:
    Dataset updated
    Mar 8, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of On Target Outfitters

  16. R

    Data from: Target Finder Dataset

    • universe.roboflow.com
    zip
    Updated Jul 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    xCU (2025). Target Finder Dataset [Dataset]. https://universe.roboflow.com/xcu/target-finder-mprhd/model/16
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    xCU
    License

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

    Variables measured
    Target Bounding Boxes
    Description

    Target Finder

    ## Overview
    
    Target Finder is a dataset for object detection tasks - it contains Target annotations for 1,292 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  17. SASP Target 21 - Greater Safety at Work - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Jul 2, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.sa.gov.au (2015). SASP Target 21 - Greater Safety at Work - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/sasp-target-21-greater-safety-at-work
    Explore at:
    Dataset updated
    Jul 2, 2015
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

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

    Area covered
    South Australia
    Description

    Achieve a 40% reduction in injury by 2012 and a further 50% reduction by 2022.

  18. i

    Grant Giving Statistics for Southlake Carroll Target Program

    • instrumentl.com
    Updated Jul 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Grant Giving Statistics for Southlake Carroll Target Program [Dataset]. https://www.instrumentl.com/990-report/southlake-carroll-target-program
    Explore at:
    Dataset updated
    Jul 31, 2025
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Southlake Carroll Target Program

  19. i

    Data for weak target detection in space

    • ieee-dataport.org
    Updated Dec 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gao Weihua (2024). Data for weak target detection in space [Dataset]. https://ieee-dataport.org/documents/data-weak-target-detection-space
    Explore at:
    Dataset updated
    Dec 31, 2024
    Authors
    Gao Weihua
    License

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

    Description

    respectively.

  20. Type of target market of the production

    • ine.es
    csv, html, json +4
    Updated Apr 2, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    INE - Instituto Nacional de Estadística (2013). Type of target market of the production [Dataset]. https://www.ine.es/jaxi/Tabla.htm?tpx=8803&L=1
    Explore at:
    text/pc-axis, txt, html, xls, json, csv, xlsxAvailable download formats
    Dataset updated
    Apr 2, 2013
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Sex, Autonomous Community, Type of target market of the production
    Description

    Four-yearly Wage Structure Survey: Type of target market of the production. Autonomous Community.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Target: sales share in the U.S. 2019 to 2024, by sales channel [Dataset]. https://www.statista.com/statistics/1113287/sales-share-of-target-us-by-channel/
Organization logo

Target: sales share in the U.S. 2019 to 2024, by sales channel

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 1, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2024, 80.4 percent of Target Corporation's sales came from physical stores, a slight decrease from the previous year. As of 2023, Target accounted for roughly 1.9 percent of U.S. retail e-commerce sales.

Search
Clear search
Close search
Google apps
Main menu