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

Annual data on internet usage in Great Britain, including frequency of internet use, internet activities and internet purchasing.

This table shows whether people aged 16 or over have ever used or never used the internet by a range of variables such as age, ethnicity, pay, occupation, qualifications, and disability.

The question asked in the Labour Force Survey is "When did you last use the internet?" This question is only asked to people aged 16 and over. The first time this data was available was 2011 Q1.

At borough level the data showed ever used or never used. For London and Rest of UK the data is broken down by a range of indicators, including age, ethnic group, weekly pay, occupation levels, qualification levels, and economic activity.

The APS sampled around 333,000 people in the UK (around 27,000 in London). As such all figures must be treated with some caution.

Data was supplied directly by ONS under request from the Greater London Authority. Numbers rounded to the nearest thousand.

Other Internet Access data can be found on the ONS website. This is national data based on the Opinions and Lifestyle Survey.

In 2021, YouTube's user base in the United Kingdom amounts to approximately 41.40 million users. The number of YouTube users in the United Kingdom is projected to reach 44.38 million users by 2025. User figures have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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 up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Annual data on internet usage in Great Britain, including how households connect to the internet, internet activities and internet purchasing.

Statistics on usage of the internet in North Yorkshire

This table shows whether people aged 16 or over have ever used or never used the internet by a range of variables such as age, ethnicity, pay, occupation, qualifications, and disability. The question asked in the Labour Force Survey is "When did you last use the internet?" This question is only asked to people aged 16 and over. The first time this data was available was 2011 Q1. At borough level the data showed ever used or never used. For London and Rest of UK the data is broken down by a range of indicators, including age, ethnic group, weekly pay, occupation levels, qualification levels, and economic activity. The APS sampled around 333,000 people in the UK (around 27,000 in London). As such all figures must be treated with some caution. Data was supplied directly by ONS under request from the Greater London Authority. Numbers rounded to the nearest thousand. Other Internet Access data can be found on the ONS website. This is national data based on the Opinions and Lifestyle Survey.

This publication has been discontinued as a result of the ONS Consultation on Statistical Products, 2013. The last edition of the Internet Access Quarterly Update was published on 14 May 2014, for Q1 2014. ONS will conduct a public consultation on future plans for the annual publication of estimates of Internet users and this will appear on the ONS public consultation page: http://www.ons.gov.uk/ons/about-ons/get-involved/consultations/open-consultations/index.html Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Internet Access Quarterly Update

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

Estimates of adult Internet users and non-users in the UK, by age, sex, disability, region, gross weekly pay, ethnicity and when adults last used the Internet.

This release explores the use of the Internet by adults in Great Britain and draws attention to how households connected to the Internet. It provides useful information for those interested in what adults use the Internet for, the type of purchases made online and how homes in Great Britain connected to the Internet. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Internet Access

Data tables for the Internet Users publication

Supplementary files for article: On the importance of internet access for children’s health and subjective well-being: the case of ChinaDigital technology is transforming children’s daily routines and can potentially have long-lasting effects on their lives. This paper studies the impact of internet access on the health and subjective wellbeing of Chinese children. To conduct such analysis, we employ data from the China Education Panel Survey (CEPS), a longitudinal dataset of Chinese seventh-year students representative of the whole country. This database allows us to control for unobserved individual heterogeneity and socio-economic characteristics. We use two alternative methods to address endogeneity concerns. The first one employs a recursive system of equations that allows unobserved individual heterogeneity to simultaneously affect both health outcomes and digital access. The second approach exploits the fact that Chinese students cannot choose which school to attend and employ the proportion of students owning a computer in the same school as an instrumental variable. Regardless of the method, we find that internet access improves health. We also find some positive impact of digital access on subjective wellbeing, albeit the evidence is weaker. This stands in stark contrast to prior research, which has found a negative effect of internet use on mental health in Western countries.© The Author(s), CC BY 4.0

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Overview

The Student Social Media & Relationships dataset contains anonymized records of students’ social‐media behaviors and related life outcomes. It spans multiple countries and academic levels, focusing on key dimensions such as usage intensity, platform preferences, and relationship dynamics. Each row represents one student’s survey response, offering a cross‐sectional snapshot suitable for statistical analysis and machine‐learning applications.

Scope & Coverage

• Population: Students aged 16–25 enrolled in high school, undergraduate, or graduate programs.
• Geography: Multi‐country coverage (e.g., Bangladesh, India, USA, UK, Canada, Australia, Germany, Brazil, Japan, South Korea).
• Timeframe: Data collected via a one‐time online survey administered in Q1 2025.
• Volume: Configurable sample sizes (e.g., 100, 500, 1,000 records) based on research needs.

Data Collection & Methodology

1. Survey Design: Questions adapted from validated scales on social‐media addiction (e.g., Bergen Social Media Addiction Scale) and relationship conflict indices.
2. Recruitment: Participants recruited through university mailing lists and social‐media platforms, ensuring diversity in academic level and country.

3. Data Quality Controls:

   • Validation: Mandatory fields and range checks (e.g., usage hours between 0–24).
   • De‐duplication: Removal of duplicate entries via unique Student_ID checks.
   • Anonymization: No personally identifiable information collected.

Key Variables

Potential Analyses

• Correlation Studies: Examine associations between daily usage hours and mental‐health score or sleep hours.
• Predictive Modeling: Build classifiers to predict relationship conflicts based on usage patterns and platform type.
• Clustering: Identify user segments (e.g., “high‐usage high‐stress” vs. “moderate‐usage balanced”) across countries.

Limitations

• Self‐Report Bias: All measures are self‐reported and may be subject to social‐desirability effects.
• Cross‐Sectional Design: One‐time survey prevents causal inference.
• Sampling Variability: Recruitment via online channels may underrepresent students with limited internet access.

The Stata data file "CAP_Demographics_Jumla_Kavre_recoded.dta” and equivalent excel file of the same name comprises data collected by adolescent secondary school students during a "Citizen Science" project in the district of Kavre in the central hills of Nepal during April 2022 and in the district of Jumla in the remote mountains of West Nepal during June 2022. The project was part of a CIFF-funded Children in All Policies 2030 (CAP2030) project.

The data were generated by the students using a mobile device data collection form developed using "Open Data Kit (ODK) Collect" electronic data collection platform by Kathmandu Living Labs (KLL) and University College London (UCL) for the purposes of this study. Researchers from KLL and UCL trained the adolescents to record basic socio-demographic information about themselves and their households including caste/ethnicity, religion, education, water sources, assets, household characteristics, and income sources. The form also asked about their access to mobile phones or other devices and internet and their concerns with respect to climate change. The resulting data describe the participants in the citizen science project, but their names and addresses have been removed. The app and the process of gathering the data are described in a paper entitled "Citizen science for climate change resilience: engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal" submitted to Wellcome Open Research in Feb 2023. The data contributed to Tables 2 and 3 of this paper.

Calculated from data collected in modules of the ONS Opinions Survey in Great Britain. The survey aims to provide users with information on households’ and individuals’ use of the Internet and other Information Communication Technologies (ICTs). The estimates have been published annually since 2006.

Covers use of internet, ICT expenditure and investment and ICT security.

The survey conducted in late 2019 is based on a sample size of 2,692. Its purpose was to collect data on how life experiences and the use of the internet shape extremist attitudes and behaviour. The survey was promoted using paid-for Facebook ads. The advert was made available to Facebook users over the age of 16 who resided in the UK, making almost 130,000 impressions. Using Facebook ads and relying on self-selection sampling, we were able to reach out to a large part of the UK population. After stripping out non-completions we ended up with a sample of 2,692 participants from across the UK. The data suggest that our sample is not representative of the UK population . The survey was split into five sections: demographics, media and internet use, extremism, life experiences, and political attitudes. The media and internet section explored participants media consumptions and how they used the internet to find out and disseminate information. In the extremism section, participants were asked a series of questions about their place in the world as well as questions about whether violence is ever justified to defend and maintain the position and power of the in-group against threats from the out-group. As noted above, this research takes Berger’s definition of extremism as its starting point, which is based on the social relations between in and out-groups (Berger 2018). The life experiences section explored participants life experiences when they occurred and the impact they had on their life.