100+ datasets found
  1. Data from: Internet users

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 6, 2021
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    Office for National Statistics (2021). Internet users [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/internetusers
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    xlsxAvailable download formats
    Dataset updated
    Apr 6, 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

    Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

  2. Springs Online Database

    • catalog.newmexicowaterdata.org
    html
    Updated Jan 9, 2024
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    Springs Stewardship Institute (2024). Springs Online Database [Dataset]. https://catalog.newmexicowaterdata.org/dataset/springs-online-database
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    htmlAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Springs Stewardship Institute
    Description

    Developed in 2010 by Jeri Ledbetter and Dr. Larry Stevens, Springs Online offers a user-friendly interface and uses simple methods to enter, retrieve, and analyze springs inventory data. The database is easily accessible to landowners, land managers, conservation organizations, researchers, and the public, furthering our mission to provide quality information regarding springs.

  3. People informing themselves about goods and services online in Bulgaria...

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). People informing themselves about goods and services online in Bulgaria 2013-2022 [Dataset]. https://www.statista.com/statistics/1237891/bulgaria-internet-users-finding-information-goods-services/
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bulgaria
    Description

    The share of internet users informing themselves about goods and services online in Bulgaria increased significantly by 14.4 percentage points in 2022 in comparison to the previous year. With 60.19 percent, the share of people informing themselves online thereby reached its highest value in the observed period.The EU survey on the use of Information and Communication Technologies (ICT) in households and by individuals is an annual survey conducted since 2002 aiming at collecting and disseminating harmonised and comparable information on the use of ICT in households and by individuals. Data presented in this domain are collected on a yearly basis by the National Statistical Institutes and are based on Eurostat's annual model questionnaire. This questionnaire is updated each year to reflect the evolving situation of information and communication technologiesFind more statistics on other topics about Bulgaria with key insights such as share of daily internet users, share of internet users seeking health information online, share of internet users looking for and applying for jobs online, share of internet users reading news online, share of internet users engaging in online learning activities, and share of people that upload self-created content.

  4. d

    Massively Open Online Course for Educators (MOOC-Ed) network dataset

    • search.dataone.org
    Updated Nov 21, 2023
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    Kellogg, Shaun; Edelmann, Achim (2023). Massively Open Online Course for Educators (MOOC-Ed) network dataset [Dataset]. http://doi.org/10.7910/DVN/ZZH3UB
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kellogg, Shaun; Edelmann, Achim
    Description

    The dataset provides detailed information on the communications taking place between learners in two offerings of the Massively Open Online Course for Educators (MOOC-Eds) titled The Digital Learning Transition in K-12 Schools. The courses were offered to educators from the USA and abroad during the spring and fall of 2013. Though based on the same course, minor controlled variations were made to both MOOCs in terms of the course length, discussion prompts, and group size. The primary use of this dataset is to enable social network analyses (SNAs) of these communications. In particular, it allows modeling network mechanisms to better understand factors that facilitate or impede the exchange of information among educators, and includes relevant characteristics of the participants, such as their professional roles and their experience in education.

  5. R

    Pothole Online Dataset Dataset

    • universe.roboflow.com
    zip
    Updated Apr 15, 2024
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    potholesemanticsdataset (2024). Pothole Online Dataset Dataset [Dataset]. https://universe.roboflow.com/potholesemanticsdataset/pothole-online-dataset
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    zipAvailable download formats
    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    potholesemanticsdataset
    License

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

    Variables measured
    Pothole Polygons
    Description

    Pothole Online Dataset

    ## Overview
    
    Pothole Online Dataset is a dataset for instance segmentation tasks - it contains Pothole annotations for 288 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).
    
  6. Online Advertising in Australia - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jan 21, 2025
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    IBISWorld (2025). Online Advertising in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/au/industry/online-advertising/5505/
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    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Area covered
    Australia
    Description

    Spending on online advertising has surged, and it has become the preferred advertising medium over traditional channels like TV and print. This has been driven by a significant shift in consumer behaviour towards the internet, social media and online shopping, which consumers became more accustomed to during the pandemic. Advertising agencies are navigating increasing privacy concerns and stricter regulations, highlighted by the $60.0 million fine against Google for misleading data practices. Profitability has expanded as companies adopt artificial intelligence, with more than one-quarter of Google's code now being AI-generated and major companies like Facebook reducing labour costs through significant workforce cuts. Industrywide revenue has been climbing at an annualised 8.2% over the past five years and is expected to total $17.1 billion in 2024-25, when revenue will climb by 5.7%. The Online Advertising industry exhibits high market share concentration because of the substantial barriers to entry and the dominance of major players Google and Facebook. Google leads the search engine market, controlling around 95%, largely because it is the default search engine on popular browsers like Chrome and Safari. Access to large user volumes is crucial for online advertisers, as it encourages companies to increase spending on online ads. Extensive user data is also essential for training algorithms to deliver targeted advertising, enabling firms like Google, REA Group and Facebook Australia to charge higher premiums for their services. This data advantage, international firms' larger budgets and fewer regulatory constraints make it challenging for domestic companies to compete. The Online Advertising industry is on track to continue expanding, although at slower rates. Privacy concerns and stricter data usage regulations are set to limit advertisers' access to consumer data, especially with major web browsers' phasing out of third-party cookies. This will compel advertisers to innovate and emphasise first-party data by creating engaging, interactive experiences to encourage users to share information willingly. Adopting artificial intelligence technologies will enable advertisers to optimise ad placements, better understand user behaviour and reduce labour dependence. Industry revenue is forecast to expand at an annualised 6.8% through 2029-30 to total $23.8 billion.

  7. p

    Primavera - Online

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
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    Public School Review (2025). Primavera - Online [Dataset]. https://www.publicschoolreview.com/primavera-online-profile
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    xml, jsonAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    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, 2004 - Dec 31, 2025
    Description

    Historical Dataset of Primavera - Online is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Distribution of Students By Grade Trends,American Indian Student Percentage Comparison Over Years (2005-2023),Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2005-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2005-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2004-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2013-2023)

  8. Users Data

    • kaggle.com
    Updated Jul 12, 2018
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    Aman Agarwal (2018). Users Data [Dataset]. https://www.kaggle.com/datasets/aman1py/users-data/suggestions
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 12, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman Agarwal
    Description

    Dataset

    This dataset was created by Aman Agarwal

    Contents

  9. Online Automotive Parts & Accessories Sales in the US - Market Research...

    • ibisworld.com
    Updated Apr 15, 2025
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    IBISWorld (2025). Online Automotive Parts & Accessories Sales in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-automotive-parts-accessories-sales-industry/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Online automotive parts and accessories retailers have reaped robust growth through the current period, particularly as consumers accept online shopping models. As a result, many traditional brick-and-mortar retailers have invested in omnichannel sales systems that take advantage of their distribution infrastructure. Traditional auto parts retailers with online shopping experiences have been able to fend off fully e-commerce-based companies. Specialization in auto parts and the ability to order online and pick up merchandise in-store have enabled auto parts retailers to capture a growing share of online purchases. Overall, revenue has climbed at an expected CAGR of 5.8% to $6.5 billion through the current period, including a 2.2% jump in 2024, where profit reached 9.8% As a subsection of the overall auto parts retail market, the industry has largely grown in line with auto parts retailers. As incomes rise, consumers purchase more cars and spend more on noncritical replacement parts. The number of motor vehicles registered in the United States has grown steadily along with the average age of vehicles, expanding the portion of the vehicle fleet in the repair-and-replacement age range. However, the wider trend towards online retailing accelerated in 2020 amid the COVID-19 pandemic, enabling the online subsegment to outpace brick-and-mortar retailers; this, along with supply chain issues limiting supply for new and used cars, shifted demand toward repairs, supporting growth. However, supply chain disruptions also led to higher input costs, pressuring profit. The industry will continue to expand as more consumers and companies conduct business online. Similarly, increased disposable income will support greater sales of replacement auto parts. In particular, retailers will see demand from hobbyists and car collectors surge, especially as classic car ownership rises among younger generations. In general, online stores will give consumers more pricing power and alternatives compared with brick-and-mortar stores, facilitating growth. Overall, revenue will expand at an expected CAGR of 3.8% to $7.8 billion through the outlook period, where profit will reach 10.3%.

  10. Network Analysis Data From Various Sources

    • kaggle.com
    Updated Mar 9, 2021
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    RAMA (2021). Network Analysis Data From Various Sources [Dataset]. https://www.kaggle.com/rahulgoel1106/network-analysis-data-from-various-sources/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 9, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    RAMA
    License

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

    Description

    Context

    This is a sample dataset that contains the reference information among various information sources such as TV, Newspaper and online articles.

    Content

    There are two datasets 1. InputFileEdges.csv contains the information about the edges between nodes. The fields in this dataset are as follows: (i) from: source (or) starting node id of the edge (ii) to: target (or) ending node id of the edge (iii) weight: the number of times they were connected (or) referenced each other (iv) type: the type of the link (hyperlink or mention) between these nodes

    1. InputFileNodes.csv contains the information about the nodes. The fields in this dataset are as follows: (i) id: unique node id (ii) media: the media information of the node (e.g. NY Times, Washington Post, Wall Street Journal etc.) (iii) media.type: the type of the media (1 represents Newspaper; 2 represents TV; and 3 represents Online) (iv) type.label: the type of the media (Newspaper, TV, and Online) (v) audience.size: the audience size for each media
  11. p

    Trends in Diversity Score (2005-2023): Denver Online vs. Colorado vs. School...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Diversity Score (2005-2023): Denver Online vs. Colorado vs. School District No. 1 In The County Of Denver And State Of C [Dataset]. https://www.publicschoolreview.com/denver-online-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Colorado, Denver
    Description

    This dataset tracks annual diversity score from 2005 to 2023 for Denver Online vs. Colorado and School District No. 1 In The County Of Denver And State Of C

  12. t

    Online Tutoring Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
    + more versions
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    The Business Research Company (2025). Online Tutoring Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/online-tutoring-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Online Tutoring market size is expected to reach $23.57 billion by 2029 at 16.5%, e-learning surge how covid-19 transformed education and fueled the online tutoring market

  13. Online Board Games Market Size, Share & Industry Trends Analysis, 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 19, 2025
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    Mordor Intelligence (2025). Online Board Games Market Size, Share & Industry Trends Analysis, 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/global-online-board-games-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    Online Board Games Market is Segmented by Monetisation Model (Advertising-Supported, In-App Purchase, and More), Platform (Mobile (Smartphone), Tablet, PC / Browser, Console and Smart-TV), Game Genre (Strategy and Abstract (Chess, Go, Xiangqi), Card and Dice (Uno, Yahtzee, Poker) and More), Player Mode (Multiplayer and Single Player), Geography. The Market Forecasts are Provided in Terms of Value (USD).

  14. Online Photo Printing in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Online Photo Printing in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-photo-printing-industry/
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    Online photo printing companies have had to compete with the growing popularity of digital photo sharing. Social networks and other photo-sharing sites encouraged an expanding number of consumers to store and print pictures through online channels. The number of broadband and mobile internet connections has increased in recent years. Online photo printing companies have been grappling with increased input costs, primarily driven by rising paper prices spurred by tighter environmental regulations and reduced logging activities. As a result, companies have had to hike their prices to balance these additional expenses, limiting consumer demand for photo printing. Revenue has fallen at a CAGR of 3.0% to reach $4.3 billion in 2024, including a 1.6% contraction in 2024. Wages have accounted for a growing share of industry revenue in recent years as photo printers compete for highly skilled labor, including computer programmers; wage growth has contributed to falling profit. Innovation has made customization more fun and accessible for consumers. This trend has enabled companies to offer a broader spectrum of products in pursuit of customer loyalty and competitive advantage through solid brand recognition. Moving forward, technological advancements will continue to stimulate industry expansion. As economic conditions improve, consumers will engage more in discretionary spending, including traditional photo printing. Continuous advancements in smartphone camera technology will also be crucial in capturing high-resolution images worthy of printing. These innovations will reduce overhead costs and attract a more tech-savvy customer base. Revenue will expand at a CAGR of 1.6% to reach an estimated $4.6 billion in 2029.

  15. Facebook Sample Comments

    • kaggle.com
    Updated Nov 27, 2018
    + more versions
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    gvrlifestyle (2018). Facebook Sample Comments [Dataset]. https://www.kaggle.com/datasets/gvrlifestyle/facebook-sample-comments/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 27, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    gvrlifestyle
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Dataset

    This dataset was created by gvrlifestyle

    Released under Database: Open Database, Contents: Database Contents

    Contents

  16. p

    Trends in Graduation Rate (2013-2023): Denver Online vs. Colorado vs. School...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Graduation Rate (2013-2023): Denver Online vs. Colorado vs. School District No. 1 In The County Of Denver And State Of C [Dataset]. https://www.publicschoolreview.com/denver-online-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Colorado, Denver
    Description

    This dataset tracks annual graduation rate from 2013 to 2023 for Denver Online vs. Colorado and School District No. 1 In The County Of Denver And State Of C

  17. p

    Trends in Total Students (2019-2023): Volusia Online Learning-flvs...

    • publicschoolreview.com
    Updated Sep 14, 2018
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    Public School Review (2018). Trends in Total Students (2019-2023): Volusia Online Learning-flvs (Franchise) [Dataset]. https://www.publicschoolreview.com/volusia-online-learning-flvs-franchise-profile
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    Dataset updated
    Sep 14, 2018
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Volusia County
    Description

    This dataset tracks annual total students amount from 2019 to 2023 for Volusia Online Learning-flvs (Franchise)

  18. p

    Trends in Reduced-Price Lunch Eligibility (2017-2023): Pikes Peak Online...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Reduced-Price Lunch Eligibility (2017-2023): Pikes Peak Online School vs. Colorado vs. Education Reenvisioned BOCES School District [Dataset]. https://www.publicschoolreview.com/pikes-peak-online-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual reduced-price lunch eligibility from 2017 to 2023 for Pikes Peak Online School vs. Colorado and Education Reenvisioned BOCES School District

  19. p

    Trends in Reduced-Price Lunch Eligibility (2019-2023): Ilead Online vs....

    • publicschoolreview.com
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    Public School Review, Trends in Reduced-Price Lunch Eligibility (2019-2023): Ilead Online vs. California vs. ILEAD Online School District [Dataset]. https://www.publicschoolreview.com/ilead-online-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for Ilead Online vs. California and ILEAD Online School District

  20. D

    Online Examination Service Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Online Examination Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-online-examination-service-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Online Examination Service Market Outlook



    The global online examination service market size was valued at USD 3.2 billion in 2023 and is projected to reach USD 9.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.2% during the forecast period. This remarkable growth is primarily driven by the increasing adoption of digital technologies in the education sector, the need for cost-effective examination solutions, and the rising trend of remote learning and working.



    The growing demand for online education and certification programs is one of the major factors driving the growth of the online examination service market. As educational institutions and certification bodies seek to scale their operations while maintaining the integrity and security of examinations, online examination services offer an efficient and scalable solution. Additionally, the scalability and flexibility of these platforms make them ideal for institutions to manage large volumes of students and professionals, especially in a globalized education environment.



    Another significant growth driver is the increasing dependence on online proctoring services, which ensure the authenticity and integrity of the examination process. With advancements in artificial intelligence (AI) and machine learning (ML), online proctoring has become more sophisticated, offering features like facial recognition, real-time monitoring, and automated flagging of suspicious activities. This has led to higher acceptance and trust in online examination services across various sectors, including education, corporate, and government.



    The COVID-19 pandemic has also served as a catalyst for the adoption of online examination services. The sudden shift to remote learning and working environments necessitated the need for reliable and secure online examination platforms. This has not only accelerated the growth of the market during the pandemic but is expected to sustain its growth momentum in the post-pandemic era as institutions and organizations recognize the long-term benefits of digital examination solutions.



    Automated Online Proctoring has revolutionized the way examinations are conducted in the digital era. By leveraging advanced technologies such as artificial intelligence and machine learning, automated proctoring systems can monitor exams without the need for human intervention. This not only reduces the cost and logistical challenges associated with traditional proctoring but also enhances the scalability of examination services. Automated proctoring solutions offer features like real-time identity verification, behavioral analysis, and environmental checks, ensuring a secure and fair examination process. These systems are particularly beneficial for large-scale assessments, where managing numerous candidates simultaneously would otherwise be a daunting task. As educational institutions and organizations continue to embrace digital transformation, the demand for automated online proctoring is expected to grow, further driving the expansion of the online examination service market.



    Regionally, North America holds a significant share of the online examination service market, driven by the presence of major technology providers and a high adoption rate of digital education solutions. Europe follows closely, with substantial investments in educational technology and supportive government initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the increasing penetration of internet services and the rising demand for remote learning solutions in countries like China and India.



    Component Analysis



    The online examination service market can be segmented by component into software and services. The software segment includes various platforms and applications that facilitate online examinations, while the services segment encompasses additional support services like proctoring, technical support, and consulting. The software segment is anticipated to hold the largest market share due to the increasing need for robust and scalable platforms to manage examinations efficiently. These platforms offer a wide range of features, including question banks, automated grading, and analytics, which are essential for both educational institutions and certification bodies.



    The services segment is also expected to grow significantly, driven by the increasing demand for proctoring services to

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Office for National Statistics (2021). Internet users [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/internetusers
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Data from: Internet users

Related Article
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29 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Apr 6, 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

Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

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