100+ datasets found
  1. Common languages used for web content 2025, by share of websites

    • statista.com
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    Statista, Common languages used for web content 2025, by share of websites [Dataset]. https://www.statista.com/statistics/262946/most-common-languages-on-the-internet/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2025
    Area covered
    Worldwide
    Description

    As of October 2025, English was the dominant language for online content, used by nearly half of all websites worldwide. Spanish ranked second, accounting for around 6 percent of web content, followed by German with 5.9 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

  2. Preferred language to access the internet India 2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Preferred language to access the internet India 2023 [Dataset]. https://www.statista.com/statistics/1459294/india-internet-access-by-language/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    According to a 2023 survey, ** percent of internet users in urban India preferred using the internet in English. Meanwhile, ** percent of users accessed the internet in Indian languages, with Hindi being the most preferred language among them. Over *** million internet users reside in the urban areas of India.

  3. e

    Flash Eurobarometer 313: User language preferences online

    • data.europa.eu
    zip
    Updated Jun 30, 2022
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    Directorate-General for Communication (2022). Flash Eurobarometer 313: User language preferences online [Dataset]. https://data.europa.eu/data/datasets/s880_313?locale=en
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    zipAvailable download formats
    Dataset updated
    Jun 30, 2022
    Dataset authored and provided by
    Directorate-General for Communication
    License

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

    Description

    This Flash Eurobarometer studied how Europeans use different languages online. While 90% of European internet users prefer to surf the internet in their own language, 55% at least occasionally use a language other than their own when online according to a pan-EU Eurobarometer survey released today. However, 44% feel they are missing interesting information because web pages are not in a language that they understand.

    The results by volumes are distributed as follows:
    • Volume A: Countries
    • Volume AA: Groups of countries
    • Volume A' (AP): Trends
    • Volume AA' (AAP): Trends of groups of countries
    • Volume B: EU/socio-demographics
    • Volume B' (BP) : Trends of EU/ socio-demographics
    • Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer
  4. Peru: internet user penetration rate Q3 2023, by language

    • statista.com
    Updated Jan 8, 2024
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    Statista (2024). Peru: internet user penetration rate Q3 2023, by language [Dataset]. https://www.statista.com/statistics/801832/peru-internet-user-penetration-native-language/
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    Dataset updated
    Jan 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Peru
    Description

    In the third quarter of 2023, over 55 percent the Peruvian population over six years old speaking native languages such as Quechua or Aymara claimed having used the internet in the South American country. The internet penetration in Peru has been growing steadily, having reached 74 percent of the country's population in 2022.

  5. s

    Internet use, by language used to search for information

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jun 25, 2015
    + more versions
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    Government of Canada, Statistics Canada (2015). Internet use, by language used to search for information [Dataset]. http://doi.org/10.25318/2210006301-eng
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    Dataset updated
    Jun 25, 2015
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    Canadian Internet use survey, Internet use, by language used to search for information, for Canada in 2005. (Terminated)

  6. Non-English digital payment internet users in India - by language 2016

    • statista.com
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    Statista, Non-English digital payment internet users in India - by language 2016 [Dataset]. https://www.statista.com/statistics/719004/digital-payments-non-english-internet-users-by-language-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    India
    Description

    This statistic represents the number of non-English digital payment internet users across India in 2016, based on language. Hindi internet users had the highest number of digital payment users amounting to about ** million, followed by Tamil internet users at about **** million during the measured time period.

  7. Number of Indian and English language internet users in India 2011-2021

    • statista.com
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    Statista, Number of Indian and English language internet users in India 2011-2021 [Dataset]. https://www.statista.com/statistics/718420/internet-user-base-by-language-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic displays the number of Indian and English language internet users across India from 2011 to 2021. In 2016, the number of English internet users amounted to about *** million and was projected to increase to *** million in 2021. For Indian language users, this number was about *** million users in 2016, and was projected to reach *** million in 2021.

  8. e

    Population aged 15 and over of the Basque Country who are Internet users by...

    • euskadi.eus
    • opendata.euskadi.eus
    csv, xlsx
    Updated Oct 29, 2024
    + more versions
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    (2024). Population aged 15 and over of the Basque Country who are Internet users by place of access and languages used, according to Province (%). [Dataset]. https://www.euskadi.eus/population-aged-15-and-over-of-the-basque-country-who-are-internet-users-by-place-of-access-and-languages-used-according-to-province/web01-ejeduki/en/
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    csv(0.68), xlsx(17.86)Available download formats
    Dataset updated
    Oct 29, 2024
    License

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

    Area covered
    Basque Country
    Description

    The statistical operation Survey on the Information Society-ESI-Families, provides regular information on the implementation of New Information and Communication Technology -ICT- among the population of the Basque Country. Specifically, it records and describes ICT equipment of the population both in the home and the place of study or in the workplace and measures the level of use made of it, especially as related to the Internet. It lets us compare the level of implementation of these ICT technologies In Basque society in relation to other surrounding communities.

  9. Data from: Exploring the Dominance of the English Language on the Websites...

    • zenodo.org
    • data.niaid.nih.gov
    bin, xls
    Updated Mar 5, 2020
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    Giannakoulopoulos Andreas; Pergantis Minas; Konstantinou Nikos; Lamprogeorgos Aristeidis; Limniati Laida; Varlamis Iraklis; Giannakoulopoulos Andreas; Pergantis Minas; Konstantinou Nikos; Lamprogeorgos Aristeidis; Limniati Laida; Varlamis Iraklis (2020). Exploring the Dominance of the English Language on the Websites of EU Countries [Dataset]. http://doi.org/10.5281/zenodo.3698008
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    xls, binAvailable download formats
    Dataset updated
    Mar 5, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Giannakoulopoulos Andreas; Pergantis Minas; Konstantinou Nikos; Lamprogeorgos Aristeidis; Limniati Laida; Varlamis Iraklis; Giannakoulopoulos Andreas; Pergantis Minas; Konstantinou Nikos; Lamprogeorgos Aristeidis; Limniati Laida; Varlamis Iraklis
    License

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

    Area covered
    European Union
    Description

    This Dataset, in 29 files of xlsx format, contains the data of all metrics and accumulated information as they are described in the methodology, results and discussion section of the research article "Exploring the Dominance of the English Language on the Websites of EU Countries".

  10. Share of non-English internet users forecast in India - by language 2021

    • statista.com
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    Statista, Share of non-English internet users forecast in India - by language 2021 [Dataset]. https://www.statista.com/statistics/718825/non-english-users-share-by-language-forecast-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    India
    Description

    This statistic represents the forecast for share of non-English internet users across India in 2020, based on language. Hindi was projected to have the highest share of internet users in the country with about ** percent, while the share was about ***** percent for Malayalam during the measured time period.

  11. u

    Internet use, by language used to search for information - Catalogue -...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
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    (2025). Internet use, by language used to search for information - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e2617831-7e2d-4da5-919f-47311eea3349
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    Dataset updated
    Oct 19, 2025
    License

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

    Area covered
    Canada
    Description

    Canadian Internet use survey, Internet use, by language used to search for information, for Canada in 2005. (Terminated)

  12. World Cities, Countries & Languages Dataset

    • kaggle.com
    zip
    Updated Sep 10, 2025
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    Adil Shamim (2025). World Cities, Countries & Languages Dataset [Dataset]. https://www.kaggle.com/datasets/adilshamim8/world-cities-countries-and-languages-dataset/versions/3
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    zip(82890 bytes)Available download formats
    Dataset updated
    Sep 10, 2025
    Authors
    Adil Shamim
    License

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

    Description

    This dataset provides a structured view of the world’s cities, countries, and languages, derived from the well-known World Database (SQL → CSV). It is designed to be beginner-friendly yet powerful for researchers, analysts, and data scientists who want to explore global demographics, population distribution, and linguistic diversity.

    The dataset is split into three clean, relational tables:

    🔹 city.csv

    • Contains information about the world’s cities.
    • Key columns:

      • ID → Unique city identifier
      • Name → City name
      • CountryCode → Links each city to its country
      • District → Administrative division
      • Population → Population of the city

    🔹 country.csv

    • Describes countries and their attributes.
    • Key columns:

      • Code → Unique country code
      • Name → Country name
      • Continent, Region → Geographic classification
      • SurfaceArea → Area in square kilometers
      • Population → Country’s population
      • GovernmentForm, HeadOfState → Political details

    🔹 countrylanguage.csv

    • Captures languages spoken across countries.
    • Key columns:

      • CountryCode → Links to country.csv
      • Language → Language name
      • IsOfficial → Whether the language is official
      • Percentage → Percentage of speakers in the population

    Why Use This Dataset?

    • Study urbanization and population trends across the globe.
    • Explore language diversity and compare official vs. non-official usage.
    • Perform SQL-style joins across the three tables for deeper analysis.
    • Great for data visualization projects, machine learning experiments, or teaching relational databases.

    Possible Use Cases

    • 📊 Build dashboards to visualize population growth by continent or country.
    • 🌍 Rank cities by size, density, or region.
    • 🗣️ Analyze global language distribution and multilingual countries.
    • 🤖 Use as a practice dataset for SQL queries, joins, and normalization in machine learning pipelines.

    This dataset offers a balanced mix of geography, demography, and linguistics — perfect for analysts, students, and Kaggle competitors alike.

  13. d

    Canadian Internet Use Survey, 2005

    • search.dataone.org
    Updated Dec 28, 2023
    + more versions
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    Statistics Canada. Income Statistics Division (2023). Canadian Internet Use Survey, 2005 [Dataset]. http://doi.org/10.5683/SP3/MWPHQ9
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Income Statistics Division
    Time period covered
    Nov 13, 2004 - Dec 6, 2005
    Area covered
    Canada
    Description

    The Canadian Internet Use Survey (CIUS) measures the extent and scope to which individual Canadians use the Internet. Survey content includes the location of use (e.g., at home, at work), the frequency and intensity of use, the specific uses of the Internet from the home, the purchase of products and services (electronic commerce), and other issues related to Internet use (such as language of use and concerns over privacy). This content is supplemented by information on individual and household characteristics (e.g., age, income, education, family type) and some geographic detail (e.g. province, urban/rural, and CMA). The Canadian Internet Use Survey results are widely disseminated to a variety of users. All levels of government can use CIUS to shape policies and programmes related to the Internet (i.e. uptake and barriers, high speed access, Government on-line and other communication initiatives) and electronic commerce. Also, the Organization for Economic Cooperation and Development (OECD) uses the results for international benchmarking and comparison studies. The CIUS data support a wide range of research initiatives. In academia, micro data are made available to students and researchers within universities and colleges under the Data Liberation Initiative. The survey results are also used in the private sector for market research, as well as for consultation on regulatory issues related to the internet. Finally, the results of the CIUS are widely quoted in the media reflecting a high level of interest in the Internet and its users. The CIUS replaces the Household Internet Use Survey (HIUS), conducted from 1997 to 2003, which focused on household Internet penetration. The new survey was redesigned to focus more on Internet use by individuals and to conform to international standards regarding Internet statistics. Because CIUS collects information from the individual and HIUS was based on the household, it is not appropriate to directly compare results from 2005 with previous surveys.

  14. U.S. Hispanic internet users 2015, by primary language

    • statista.com
    Updated Dec 18, 2023
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    Statista Research Department (2023). U.S. Hispanic internet users 2015, by primary language [Dataset]. https://www.statista.com/topics/1867/hispanics-in-the-united-states-internet-usage/
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    This statistic gives information on the distribution of U.S. Hispanic internet users in 2015, by primary language. During the 2015 National Survey of Latinos conducted in November 2015, it was found that English was the dominant language for 31 percent of U.S. Hispanic internet users.

  15. Index of Internet Connectivity - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Dec 10, 2011
    + more versions
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    ckan.publishing.service.gov.uk (2011). Index of Internet Connectivity - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/index_of_internet_connectivity
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    Dataset updated
    Dec 10, 2011
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    Developed the Index of Internet Connectivity as part of a package of measures to help monitor the UK's use of the Internet and the growth of e-commerce. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Internet connectivity

  16. Data from: WikiReddit: Tracing Information and Attention Flows Between...

    • zenodo.org
    bin
    Updated May 4, 2025
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    Patrick Gildersleve; Patrick Gildersleve; Anna Beers; Anna Beers; Viviane Ito; Viviane Ito; Agustin Orozco; Agustin Orozco; Francesca Tripodi; Francesca Tripodi (2025). WikiReddit: Tracing Information and Attention Flows Between Online Platforms [Dataset]. http://doi.org/10.5281/zenodo.14653265
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    binAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Patrick Gildersleve; Patrick Gildersleve; Anna Beers; Anna Beers; Viviane Ito; Viviane Ito; Agustin Orozco; Agustin Orozco; Francesca Tripodi; Francesca Tripodi
    License

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

    Time period covered
    Jan 15, 2025
    Description

    Preprint

    Gildersleve, P., Beers, A., Ito, V., Orozco, A., & Tripodi, F. (2025). WikiReddit: Tracing Information and Attention Flows Between Online Platforms. arXiv [Cs.CY]. https://doi.org/10.48550/arXiv.2502.04942
    Accepted at the International AAAI Conference on Web and Social Media (ICWSM) 2025

    Abstract

    The World Wide Web is a complex interconnected digital ecosystem, where information and attention flow between platforms and communities throughout the globe. These interactions co-construct how we understand the world, reflecting and shaping public discourse. Unfortunately, researchers often struggle to understand how information circulates and evolves across the web because platform-specific data is often siloed and restricted by linguistic barriers. To address this gap, we present a comprehensive, multilingual dataset capturing all Wikipedia links shared in posts and comments on Reddit from 2020 to 2023, excluding those from private and NSFW subreddits. Each linked Wikipedia article is enriched with revision history, page view data, article ID, redirects, and Wikidata identifiers. Through a research agreement with Reddit, our dataset ensures user privacy while providing a query and ID mechanism that integrates with the Reddit and Wikipedia APIs. This enables extended analyses for researchers studying how information flows across platforms. For example, Reddit discussions use Wikipedia for deliberation and fact-checking which subsequently influences Wikipedia content, by driving traffic to articles or inspiring edits. By analyzing the relationship between information shared and discussed on these platforms, our dataset provides a foundation for examining the interplay between social media discourse and collaborative knowledge consumption and production.

    Datasheet

    Motivation

    The motivations for this dataset stem from the challenges researchers face in studying the flow of information across the web. While the World Wide Web enables global communication and collaboration, data silos, linguistic barriers, and platform-specific restrictions hinder our ability to understand how information circulates, evolves, and impacts public discourse. Wikipedia and Reddit, as major hubs of knowledge sharing and discussion, offer an invaluable lens into these processes. However, without comprehensive data capturing their interactions, researchers are unable to fully examine how platforms co-construct knowledge. This dataset bridges this gap, providing the tools needed to study the interconnectedness of social media and collaborative knowledge systems.

    Composition

    WikiReddit, a comprehensive dataset capturing all Wikipedia mentions (including links) shared in posts and comments on Reddit from 2020 to 2023, excluding those from private and NSFW (not safe for work) subreddits. The SQL database comprises 336K total posts, 10.2M comments, 1.95M unique links, and 1.26M unique articles spanning 59 languages on Reddit and 276 Wikipedia language subdomains. Each linked Wikipedia article is enriched with its revision history and page view data within a ±10-day window of its posting, as well as article ID, redirects, and Wikidata identifiers. Supplementary anonymous metadata from Reddit posts and comments further contextualizes the links, offering a robust resource for analysing cross-platform information flows, collective attention dynamics, and the role of Wikipedia in online discourse.

    Collection Process

    Data was collected from the Reddit4Researchers and Wikipedia APIs. No personally identifiable information is published in the dataset. Data from Reddit to Wikipedia is linked via the hyperlink and article titles appearing in Reddit posts.

    Preprocessing/cleaning/labeling

    Extensive processing with tools such as regex was applied to the Reddit post/comment text to extract the Wikipedia URLs. Redirects for Wikipedia URLs and article titles were found through the API and mapped to the collected data. Reddit IDs are hashed with SHA-256 for post/comment/user/subreddit anonymity.

    Uses

    We foresee several applications of this dataset and preview four here. First, Reddit linking data can be used to understand how attention is driven from one platform to another. Second, Reddit linking data can shed light on how Wikipedia's archive of knowledge is used in the larger social web. Third, our dataset could provide insights into how external attention is topically distributed across Wikipedia. Our dataset can help extend that analysis into the disparities in what types of external communities Wikipedia is used in, and how it is used. Fourth, relatedly, a topic analysis of our dataset could reveal how Wikipedia usage on Reddit contributes to societal benefits and harms. Our dataset could help examine if homogeneity within the Reddit and Wikipedia audiences shapes topic patterns and assess whether these relationships mitigate or amplify problematic engagement online.

    Distribution

    The dataset is publicly shared with a Creative Commons Attribution 4.0 International license. The article describing this dataset should be cited: https://doi.org/10.48550/arXiv.2502.04942

    Maintenance

    Patrick Gildersleve will maintain this dataset, and add further years of content as and when available.


    SQL Database Schema

    Table: posts

    Column NameTypeDescription
    subreddit_idTEXTThe unique identifier for the subreddit.
    crosspost_parent_idTEXTThe ID of the original Reddit post if this post is a crosspost.
    post_idTEXTUnique identifier for the Reddit post.
    created_atTIMESTAMPThe timestamp when the post was created.
    updated_atTIMESTAMPThe timestamp when the post was last updated.
    language_codeTEXTThe language code of the post.
    scoreINTEGERThe score (upvotes minus downvotes) of the post.
    upvote_ratioREALThe ratio of upvotes to total votes.
    gildingsINTEGERNumber of awards (gildings) received by the post.
    num_commentsINTEGERNumber of comments on the post.

    Table: comments

    Column NameTypeDescription
    subreddit_idTEXTThe unique identifier for the subreddit.
    post_idTEXTThe ID of the Reddit post the comment belongs to.
    parent_idTEXTThe ID of the parent comment (if a reply).
    comment_idTEXTUnique identifier for the comment.
    created_atTIMESTAMPThe timestamp when the comment was created.
    last_modified_atTIMESTAMPThe timestamp when the comment was last modified.
    scoreINTEGERThe score (upvotes minus downvotes) of the comment.
    upvote_ratioREALThe ratio of upvotes to total votes for the comment.
    gildedINTEGERNumber of awards (gildings) received by the comment.

    Table: postlinks

    Column NameTypeDescription
    post_idTEXTUnique identifier for the Reddit post.
    end_processed_validINTEGERWhether the extracted URL from the post resolves to a valid URL.
    end_processed_urlTEXTThe extracted URL from the Reddit post.
    final_validINTEGERWhether the final URL from the post resolves to a valid URL after redirections.
    final_statusINTEGERHTTP status code of the final URL.
    final_urlTEXTThe final URL after redirections.
    redirectedINTEGERIndicator of whether the posted URL was redirected (1) or not (0).
    in_titleINTEGERIndicator of whether the link appears in the post title (1) or post body (0).

    Table: commentlinks

    Column NameTypeDescription
    comment_idTEXTUnique identifier for the Reddit comment.
    end_processed_validINTEGERWhether the extracted URL from the comment resolves to a valid URL.
    end_processed_urlTEXTThe extracted URL from the comment.
    final_validINTEGERWhether the final URL from the comment resolves to a valid URL after redirections.
    final_statusINTEGERHTTP status code of the final

  17. Average daily internet usage in Canada 2020, by language

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Average daily internet usage in Canada 2020, by language [Dataset]. https://www.statista.com/statistics/278050/daily-online-usage-in-canada-by-language/
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2020, Francophone internet users in Canada spent an average of 3.06 hours per day online via PC, laptop or tablet devices. Daily online usage of Anglophone internet users was 3.92 hours per day. Overall, daily non-mobile internet usage had declined 0.3 and 6.5 percent for Francophones and Anglophones respectively. In contrast, mobile usage in Canada had increased significantly during the same period.

  18. d

    Flash Eurobarometer 313 (User Language Preferences Online)

    • da-ra.de
    • dbk.gesis.org
    • +1more
    Updated Jul 7, 2011
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    Europäische Kommission (2011). Flash Eurobarometer 313 (User Language Preferences Online) [Dataset]. http://doi.org/10.4232/1.10730
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    Dataset updated
    Jul 7, 2011
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Europäische Kommission
    Time period covered
    Jan 28, 2011 - Feb 1, 2011
    Description

    Internet users aged 15 years and above in each of the EU27 Member States

  19. w

    Global Online Language Learning Software Market Research Report: By Delivery...

    • wiseguyreports.com
    Updated Oct 14, 2025
    + more versions
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    (2025). Global Online Language Learning Software Market Research Report: By Delivery Mode (Synchronous, Asynchronous, Blended), By End User (Individuals, Educational Institutions, Corporate), By Language Offered (English, Spanish, Mandarin, French, German), By Subscription Model (Monthly Subscription, Annual Subscription, One-Time Purchase) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/online-language-learning-software-market
    Explore at:
    Dataset updated
    Oct 14, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    French, Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20248.92(USD Billion)
    MARKET SIZE 20259.63(USD Billion)
    MARKET SIZE 203520.5(USD Billion)
    SEGMENTS COVEREDDelivery Mode, End User, Language Offered, Subscription Model, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSgrowing demand for multilingualism, increased internet penetration, rising adoption of mobile learning, personalized learning experiences, competition from free resources
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDBBC Languages, Preply, Duolingo, HelloTalk, Busuu, Memrise, Lingoda, Verbling, Cudoo, Open English, Rosetta Stone, Voxy, Babbel, Pimsleur, italki, Tandem
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESRise in mobile learning adoption, Increasing demand for personalized education, Expansion into underserved markets, Integration of AI technologies, Growth of corporate language training programs
    COMPOUND ANNUAL GROWTH RATE (CAGR) 7.9% (2025 - 2035)
  20. g

    Languages available on the web in establishments of 10 and more people...

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    Languages available on the web in establishments of 10 and more people employed with website of the Basque Country according to historical territory, branch of activity (A38) and ownership of the company (%). | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_d65a0173b5e2f65140aefce2da66efb6e331b3c9
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    License

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

    Area covered
    Basque Country
    Description

    The statistical operation Information Society Survey -ESI- Companies, provides periodic information on the implementation of the new Information and Communication Technologies -ICT- in companies in the Basque Country. Specifically, it computes and describes the level of Internet use in the different establishments: Internet access systems, Internet activities, as well as the availability of a website and its main features. In addition, it measures the implementation of e-commerce purchases and sales in economic activity, and the means through which they are made.

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Statista, Common languages used for web content 2025, by share of websites [Dataset]. https://www.statista.com/statistics/262946/most-common-languages-on-the-internet/
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Common languages used for web content 2025, by share of websites

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91 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2025
Area covered
Worldwide
Description

As of October 2025, English was the dominant language for online content, used by nearly half of all websites worldwide. Spanish ranked second, accounting for around 6 percent of web content, followed by German with 5.9 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

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