The average daily in-home data usage in the United States has increased significantly during the coronavirus (COVID-19) outbreak in March 2020. Compared to the same time in March 2019 the daily average in-home data usage has increased by 38 percent to 16.6 gigabytes, up from 12 gigabytes in March 2019. The increase can be observed across almost all device categories with the data usage of gaming consoles and smartphones increasing the most.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

In 2021, the global annual cellular data usage was projected to reach roughly *** thousand petabytes (PB). This is expected to increase by 2025, potentially reaching *** million PB annually.

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

Introduction

Internet Usage Statistics: It’s hard to imagine life without being connected to the internet, isn't it? The internet has become a fundamental part of our lives these days, from how we work and learn to how we shop and socialize. But how big is this world, really? What's the point behind all the clicks, swipes, and searches?

That's where these internet usage statistics help us; these are the pulse of our global civilization. We are going to explore who's online, what they're doing, and where the next big digital thing is happening.

Understanding these statistics is crucial for anyone who wants to grasp the modern world, from marketers and business owners to content creators and even everyday people. Let's dive deep into the data and see what it tells us about the condition of the internet in 2025. Let’s get into it.

The population share with internet access in the United States was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the ninth consecutive increasing year, the internet penetration is estimated to reach ***** percent and therefore a new peak in 2029. Notably, the population share with internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via any means. The shown figures have been derived from survey data that has been processed to estimate missing demographics. The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Mobile data usage is set to explode across the globe, with forecasts expecting monthly data traffic to more than double between 2024 and 2029. This explosion in data use will be driven by a range of shifting consumption habits, not least the adoption of data intensive artificial intelligence and cloud applications.

Digital technology and internet use, enterprise that used the internet, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

Romania - Last internet use: in last 3 months was 91.29% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Romania - Last internet use: in last 3 months - last updated from the EUROSTAT on December of 2025. Historically, Romania - Last internet use: in last 3 months reached a record high of 91.29% in December of 2024 and a record low of 36.00% in December of 2010.

East Baton Rouge Parish Library computer usage statistics are organized by branch, year, and month. This dataset only includes the count for library patrons who have logged in to the Library’s public computers, located at any of the 14 locations.

As of 2024, the average data consumption per user per month in India was at **** gigabytes. 5G data traffic contributes to ***percent of the overall data traffic. It was launched in India in October 2022. Increased online education, remote working for professionals, and higher OTT viewership contributed to the data traffic growth.

A simple dataset created by using Spacy POS and Dependency parser to create knowledge graphs in texts. Can be used for token classification to further model.

• sentence - the actual sentence.
• target - the targets.
• source - the sources.
• relation - the relations.

Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data was reported at 0.000 % in 29 Nov 2025. This stayed constant from the previous number of 0.000 % for 28 Nov 2025. Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data is updated daily, averaging 0.000 % from Jan 2024 (Median) to 29 Nov 2025, with 338 observations. The data reached an all-time high of 1.540 % in 11 Nov 2025 and a record low of 0.000 % in 29 Nov 2025. Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Mongolia – Table MN.SC.IU: Internet Usage: Social Media Market Share.

This dataset provides the monthly WiFi usage statistics since 2023 for all public libraries in East Baton Rouge Parish. The way this data is counted changed beginning in January 2025. Data prior to 2025 represented a count of every time a device communicated with any wireless access point in the library, instead of only counting the start of each Wi-Fi session.

The WiFi usage statistics are organized by branch, year, and month. Only connections made by patrons to the public-facing networks are included in these metrics, not staff connections made to the internal networks. WiFi use on the Outreach Bookmobiles is also not included in this count.

History of Work

Here you find the History of Work resources as Linked Open Data. It enables you to look ups for HISCO and HISCAM scores for an incredible amount of occupational titles in numerous languages.

Data can be queried (obtained) via the SPARQL endpoint or via the example queries. If the Linked Open Data format is new to you, you might enjoy these data stories on History of Work as Linked Open Data and this user question on Is there a list of female occupations?.

NEW version - CHANGE notes

This version is dated Apr 2025 and is not backwards compatible with the previous version (Feb 2021). The major changes are: - incredible simplification of graph representation (from 81 to 12); - use of sdo (https://schema.org/) rather than schema (http://schema.org); - replacement of prov:wasDerivedFrom with sdo:isPartOf to link occupational titles to originating datasets; - etl files (used for conversion to Linked Data) now publicly available via https://github.com/rlzijdeman/rdf-hisco; - update of issues with language tags; - specfication of language tags for english (eg. @en-gb, instead of @en); - new preferred API: https://api.druid.datalegend.net/datasets/HistoryOfWork/historyOfWork-all-latest/sparql (old API will be deprecated at some point: https://api.druid.datalegend.net/datasets/HistoryOfWork/historyOfWork-all-latest/services/historyOfWork-all-latest/sparql ) .

There are bound to be some issues. Please leave report them here.

Figure 1. Part of model illustrating the basic relation between occupations, schema.org and HISCO. https://druid.datalegend.net/HistoryOfWork/historyOfWork-all-latest/assets/601beed0f7d371035bca5521" alt="hisco-basic">

Figure 2. Part of model illustrating the relation between occupation, provenance and HISCO auxiliary variables. https://druid.datalegend.net/HistoryOfWork/historyOfWork-all-latest/assets/601beed0f7d371035bca551e" alt="hisco-aux">

This data set provides the graph data used for evaluation of the graph watermarking and data hiding algorithms. It includes 160 different graphs (in .mat format) and the readme file with all relevant information and instructions to use.

Ireland - Internet use: Individuals who have ever used the internet was 98.86% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Ireland - Internet use: Individuals who have ever used the internet - last updated from the EUROSTAT on December of 2025. Historically, Ireland - Internet use: Individuals who have ever used the internet reached a record high of 99.93% in December of 2021 and a record low of 73.00% in December of 2010.

Hungary - Internet use: never was 5.33% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - Internet use: never - last updated from the EUROSTAT on November of 2025. Historically, Hungary - Internet use: never reached a record high of 33.00% in December of 2010 and a record low of 5.33% in December of 2024.

This data collection contains diachronic Word Usage Graphs (WUGs) for Swedish. Uses were sampled for the target words from the DWUG SV dataset and from the same source corpora. DWUG SV Resampled can thus be seen as a small-scale replication of DWUG SV. Find a description of the data format, code to process the data and further datasets on the WUGsite.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.