As of March 2025, the share of time spent using the internet on smartphone devices among users in the United Kingdom (UK) was approximately 96 percent. Internet usage via smartphone was the highest amongst UK users aged between the ages 25 and 54 years, 98 percent. Furthermore, tablet devices had the largest engagement among users aged between 65 and over, while the share of time spent accessing the internet via PC or laptop devices was highest among UK users aged 75 and over.

This table contains 62400 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...); Sex (3 items: Both sexes; Male; Female); Effect of technology use on life (5 items: Helps to communicate; Saves time; Interferes with other things in life; Helps to be more creative; ...); Response (8 items: Always or often; Always; Often; Sometimes; ...); Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).

As of February 2024, over a third of online users worldwide were aged between 25 and 34 years. Website visitors in this age bracket constituted the biggest group of online users worldwide. Also, 19 percent of global online users were aged 18 to 24 years. The global digital population aged 65 or older represented approximately 4.2 percent of all internet users worldwide. Social media usage and Meta Social media is a major driver of internet use, with a global penetration rate of 62.2 percent. On average, internet users spend 143 minutes per day on social media, highlighting its significant impact on daily online activities. The usage of social media is mostly dominated by Meta platforms, which own four of the largest social media platforms. Facebook leads the ranking with over three billion active users, followed by Instagram and WhatsApp. Instagram's global popularity Meta’s social video platform, Instagram, had long been one of the most engaging social media platforms worldwide, and it was projected to reach 1.44 billion monthly active users. Instagram was particularly favored by users aged 18 to 34, thanks to its ability to offer a variety of interactive content, from images and carousels. This diverse range of content types was a key factor in its popularity among its young user base.

Information Technology Usage and Penetration - Table 720-90003 : Persons aged 10 and over who had used the Internet by sex and age group

Percentage of Internet users by selected Internet service and technology, such as; home Internet access, use of smart home devices, use of smartphones, use of social networking accounts, use or purchase of streaming services, use of government services online and online shopping.

As of June 2024, 99 percent of adults in the United States between 18 and 49 years were internet users, making it the age group with the highest level of internet penetration in the country. A further share of 97 percent of adults using the internet were between 18 and 29 years old. Mobile internet usage Mobile internet usage continues to surge in the United States, with 96.2 percent of internet users accessing the web via phones as of the third quarter of 2023. In April 2024, YouTube's mobile app led with a 74 percent audience reach, while TikTok topped weekly engagement among social apps. Mobile apps and privacy Mobile apps became an essential part of mobile users, this high usage raised new concerns about data privacy. By June 2023, three in four internet users supported data localization to protect their information. Additionally, As of September 2024, 13.5 percent of paid iOS apps stated that they collected user data, with 88 percent of this data used to enhance app functionality.

This dataset contains 500 synthetic records of technology usage behavior, capturing how different devices are utilized for various purposes across age groups. It aims to provide insights into consumer technology preferences, usage habits, and engagement levels. The data is fully artificial and generated for educational and analytical purposes.

Dataset Features The dataset includes the following columns:

• Date: The date when the usage was recorded, spanning a simulated timeline in 2024.
• Technology Category: The type of device being used (e.g., Smartphones, Laptops, Tablets).
• Usage Purpose: The primary purpose of using the device (e.g., Work, Entertainment, Education, Social Media).
• Brand: The brand of the device being used (e.g., Apple, Samsung, Google, Microsoft).
• Age Group: The age group of the user (e.g., Under 18, 18-24, 25-34, etc.).
• Daily Usage (Hours): The approximate number of hours the device was used per day.

Potential Use Cases 1. Market Analysis: - Understand brand preferences and usage purposes for different devices. - Identify trends in technology adoption by age group. 2. Behavioral Insights: - Explore correlations between daily usage and device categories. - Analyze which purposes dominate technology usage (e.g., work vs. entertainment). 3. Data Visualization Projects: - Create charts or dashboards to visualize technology engagement trends. 4. Machine Learning Models: - Use the data to predict device usage patterns or preferences.

Key Highlights - Includes a diverse range of device types, purposes, and brands. - Simulates realistic daily usage habits across six distinct age groups. - Useful for practicing data cleaning, visualization, and predictive analytics.

Acknowledgments This dataset is fully synthetic and was generated using Python. It does not contain any real-world user data and is intended solely for educational and research purposes.

Costs and a lack of knowledge are the two greatest barriers for the elderly to use technology. While the cost aspect declines with age, it increases for the lack of technological knowledge. Over ** percent of people between 55 and 64 years state that costs are a barrier, whereas nearly **** of those over 80 years state that a lack of knowledge is a barrier.

As of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most considerable usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

Information Technology Usage and Penetration - Table 720-90008 : Persons aged 15 and over who had made online purchases for personal matters by sex and age group

Czech Republic ICT Usage: Internet Users: Age: 25 and Above: Education: Basic data was reported at 51.790 % in 2023. This records an increase from the previous number of 47.980 % for 2022. Czech Republic ICT Usage: Internet Users: Age: 25 and Above: Education: Basic data is updated yearly, averaging 24.100 % from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 51.790 % in 2023 and a record low of 2.085 % in 2005. Czech Republic ICT Usage: Internet Users: Age: 25 and Above: Education: Basic data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.TB001: Information and Communicaton Technology Usage.

Introduction

Average Screen Time Statistics: Screens have become a major part of our daily lives; they have changed how people work, communicate, learn, and seek entertainment today, with the average screen time for internet users now occupying a large portion of their waking hours.

This rise in digital engagement is driven by the rapid global adoption of mobile technology, the pervasive influence of social media platforms, and the change toward remote professional and educational models.

Analyzing these detailed average screen time statistics is important for industries from public health to technology development firms. We offer concrete, data-based insights into changing consumer behavior, digital dependency, and the resulting health and societal challenges.

So, this report delivers a complete walk-around, breaking down the most current global, regional, and demographic patterns, emphasizing the facts that shape our relationship with technology. Let’s get started.

Czech Republic ICT Usage: Internet Users: Age: 16 and Above data was reported at 85.994 % in 2023. This records an increase from the previous number of 84.540 % for 2022. Czech Republic ICT Usage: Internet Users: Age: 16 and Above data is updated yearly, averaging 70.419 % from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 85.994 % in 2023 and a record low of 28.000 % in 2003. Czech Republic ICT Usage: Internet Users: Age: 16 and Above data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.TB001: Information and Communicaton Technology Usage.

Children’s technology use by the average number of adults who use the Internet at home in a household (home adult household internet utilization).

Context

This dataset provides insights into the daily mobile usage patterns of 1,000 users, covering aspects such as screen time, app usage, and user engagement across different app categories.

It includes a diverse range of users based on age, gender, and location.

The data focuses on total app usage, time spent on social media, productivity, and gaming apps, along with overall screen time.

This information is valuable for understanding behavioral trends and app usage preferences, making it useful for app developers, marketers, and UX researchers.

This dataset is useful for analyzing mobile engagement, app usage habits, and the impact of demographic factors on mobile behavior. It can help identify trends for marketing, app development, and user experience optimization.

Outcome

This dataset enables a deeper understanding of mobile user behavior and app engagement across different demographics.

Key outcomes include insights into app usage preferences, daily screen time habits, and the impact of age, gender, and location on mobile behavior.

This analysis can help identify patterns for improving user experience, tailoring marketing strategies, and optimizing app development for different user segments.

📊 About the Dataset

Technology adoption has been evolving rapidly, shaping industries and consumer behaviors worldwide. This dataset provides insights into global gadget consumption trends from 2015 to 2025, covering smartphones, laptops, gaming consoles, smartwatches, and 5G penetration rates.

🎯 Use Cases

• 📈 Market research & consumer behavior analysis
• 🔮 Forecasting future tech adoption trends
• ♻️ Studying the impact of e-waste generation
• 🌐 Understanding 5G penetration across different countries

📑 Column Descriptions

Differences in the number and proportion of persons with disabilities in terms of those who use or do not use information and communication technology-related (ICT-related) assistive aids, devices, or technologies by province, age group and gender.

This dataset contains statistical data on the rate of artificial intelligence tool usage by age group and by user gender (male and female).

Digital Habits and Employment Status Survey

American Digital Usage and Employment Trends

By Joshua Shepherd [source]

About this dataset

This comprehensive dataset provides a rich and multi-faceted exploration into the intriguing world of digital habits, employment status, and demographics of Americans. Inspired by evolving modern lifestyle trends, this dataset meticulously draws information from varied topics such as gaming habits, job search techniques and broadband usage.

The first part of the dataset delves into the realm of video games and gaming culture. It explores various aspects related to individual's preferences towards different types of games across diverse platforms. It uncovers insights into how much time users spend on these games, their favoured genres and platforms (such as consoles or PC), along with their perspectives on important issues concerning violence in video games.

Next up is an insightful dataset that revolves around job seeking trends through digital channels. In a fast-paced business world where online resources have started playing an integral role in career progression and job hunt processes, this data provides valuable insights about Americans' reliance on internet services for finding potential jobs.

Hard-hitting questions revolving around workforce automation form yet another component of this extensive database. This section throws light upon the use of computers, robots or artificial intelligence to carry out tasks traditionally performed by human workers.

Probing further into modern relationship dynamics comes queries pertaining to online dating landscape. This segment explores Americans' attitudes towards online dating platforms - their usual go-to applications/web portals for seeking new relationships or love interests.

Lastly but importantly is an exhaustive set containing facts and figures regarding home broadband usage among Americans across all age groups & genders including their access to crucial cable TV services & smartphone possession rates & dependency levels over them in daily life activities ranging from shopping to banking & even learning new skills!

Collectively offering a well-rounded snapshot at contemporary American societies –this explorative data aims at providing stepping stones for researchers trying to understand these realms thereby serving larger cause making our society better

How to use the dataset

This dataset provides a rich collection of information about the digital habits, employment status, and secondary demographic data of respondents from the June-July 2015 Gaming, Job Search, and Broadband Usage Among Americans survey. With multiple sections regarding diverse topics such as gaming, online job searches, internet usage patterns and more fundamental demographics details - this dataset can be used for various kinds of exploratory data analysis (EDA), machine learning models or creating informative visualizations.

Here is how you can get started with this dataset:

1. Exploring Digital Habits:

The questions about video games ask if a respondent ever plays video games on a computer or console. This can be used to identify key trends in digital habits among different demographic groups - for instance correlation between age or gender and propensity towards gaming.

2. Analysing Job Searches:

The job seeking portion has information regarding use of internet in search processes and its effectiveness according to respondents’ opinion. You could perform an analysis on how working status (or even age group) affects the way individuals employ technology during their job searches.

3. Studying Broadband Usage:

Data about broadband usage at home would give insights into internet adoption rates among various demographic groups.

4.Predictive Modelling:

Potential predictive modeling could include predicting someone's employment status based on their digital habits or vice versa.

5.Cross-Referencing Data Points:

Using two or more datapoints can yield some interesting results as well - like finding out if gamers are more likely than non-gamers to frequently change jobs or seeing if there is any correlation with high speed broadband usage and employment type etc.

Before conducting any analysis do keep in mind that it would be beneficial to conduct some basic cleaning tasks such as checking for missing values, removing duplicates etc., suitable encoding discrete variables including education level into numerical ones based upon intuition behind categories ordinality could also provide better model performance.

This is just scratching the surface of p...

Computers and the Internet are widely recognized as fundamental to academic and future success on both the individual and the societal level. Moreover, the academic success of school-age children is now increasingly tied to access to educational technology, a reality that became even more apparent during the pandemic. While academic performance is viewed as the major outcome of using educational technology, this study looks at a crucial early stage in the educational technology value chain, specifically; 1) to what extent do students use computers and the Internet in their homes and at school and 2) what is the extent and nature of disparities in student access to educational technology. This study was conducted using the national CPS 2019 Computer and Internet Use Survey of 23,064 school age children. We used bivariate tables and multivariate logistic regression analysis to analyze the data. Results indicate that substantial disparities in the use of educational technology exist in the U.S. Overall, 28.0% of school age children reported they did not use the Internet at school or at home and another 22.8% reported using the Internet at home but not at school. Significantly, individual and community demographic characteristics and household and school technology resources contribute to these disparities. It is clear that if fundamental educational technology and the resources needed to effectively achieve academic success are unavailable in the home, then they must be provided in schools. Without educational technology and resources, the societal value added through growing use of this technology will not materialize for our students. We conclude that committing to increasing educational technology resources in the schools will have multiple future societal benefits and improve the effectiveness of the educational technology value chain.