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

The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.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).Find more key insights for the number of internet users in countries like the Americas and Asia.

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

As of 2024, the estimated number of internet users worldwide was 5.5 billion, up from 5.3 billion in the previous year. This share represents 68 percent of the global population. Internet access around the world Easier access to computers, the modernization of countries worldwide, and increased utilization of smartphones have allowed people to use the internet more frequently and conveniently. However, internet penetration often pertains to the current state of development regarding communications networks. As of January 2023, there were approximately 1.05 billion total internet users in China and 692 million total internet users in the United States. Online activities Social networking is one of the most popular online activities worldwide, and Facebook is the most popular online network based on active usage. As of the fourth quarter of 2023, there were over 3.07 billion monthly active Facebook users, accounting for well more than half of the internet users worldwide. Connecting with family and friends, expressing opinions, entertainment, and online shopping are amongst the most popular reasons for internet usage.

Context :

This dataset provides an overview of global internet users by country between 2021 and 2024, derived from the Wikipedia page "List of countries by number of Internet users." The data includes the total number of internet users in each country, the percentage of the population using the internet, and the population of each country as of 2021. The data was collected from reliable sources like household surveys and internet subscription statistics, providing valuable insights into global connectivity trends.

This dataset can be used to explore digital penetration rates, compare internet adoption by region, and analyze how internet usage has evolved across countries over time. The motivation behind this dataset is to contribute to research on digital inclusion and global technology access.

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 55 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Statistics on usage of the internet in North Yorkshire

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 49 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Canadian Internet use survey, Internet use by location of access, for Canada, provinces and selected census metropolitan areas (CMA), from 2005 to 2009. (Terminated)

Author:
Source: Unknown - Date unknown
Please cite:

Internet Usage Data

Data Type

multivariate

Abstract

This data contains general demographic information on internet users
in 1997.

Sources

 Original Owner

[1]Graphics, Visualization, & Usability Center College of Computing Geogia Institute of Technology Atlanta, GA

 Donor

[2]Dr Di Cook Department of Statistics Iowa State University

Date Donated: June 30, 1999

Data Characteristics

This data comes from a survey conducted by the Graphics and
Visualization Unit at Georgia Tech October 10 to November 16, 1997.
The full details of the survey are available [3]here.

The particular subset of the survey provided here is the "general
demographics" of internet users. The data have been recoded as
entirely numeric, with an index to the codes described in the "Coding"
file.

The full survey is available from the web site above, along with
summaries, tables and graphs of their analyses. In addition there is
information on other parts of the survey, including technology
demographics and web commerce.

Data Format

The data is stored in an ASCII files with one observation per line.
Spaces separate fields.

Past Usage

This data was used in the American Statistical Association Statistical
Graphics and Computing Sections 1999 Data Exposition.
 _


 [4]The UCI KDD Archive
 [5]Information and Computer Science
 [6]University of California, Irvine
 Irvine, CA 92697-3425

Last modified: June 30, 1999

References

1. http://www.gvu.gatech.edu/gvu/user_surveys/survey-1997-10/
2. http://www.public.iastate.edu/~dicook/
3. http://www.cc.gatech.edu/gvu/user_surveys/survey-1997-10/
4. http://kdd.ics.uci.edu/
5. http://www.ics.uci.edu/
6. http://www.uci.edu/

Information about the dataset CLASSTYPE: nominal CLASSINDEX: none specific

Saudi Arabia Number of Internet Users: Annual data was reported at 26.100 Person mn in 2017. This records an increase from the previous number of 23.800 Person mn for 2016. Saudi Arabia Number of Internet Users: Annual data is updated yearly, averaging 10.300 Person mn from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 26.100 Person mn in 2017 and a record low of 1.000 Person mn in 2001. Saudi Arabia Number of Internet Users: Annual data remains active status in CEIC and is reported by Communications and Information Technology Commission. The data is categorized under Global Database’s Saudi Arabia – Table SA.TB001: Phone and Internet Statistics.

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GapMinder collects data from a handful of sources, including the Institute for Health Metrics and Evaluation, the US Census Bureau’s International Database, the United Nations Statistics Division, and the World Bank.

Variable Name & Description of Indicator:

• country: Unique Identifier
• incomeperperson: Gross Domestic Product per capita in constant 2000 US$. The inflation but not the differences in the cost of living between countries has been taken into account.
• Internetuserate: Internet users (per 100 people) Internet users are people with access to the worldwide network.
• urbanrate: Urban population (% of total) Urban population refers to people living in urban areas as defined by national statistical offices (calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects)

More information is available at www.gapminder.org

Bahrain Internet Statistics: Number of Internet Users data was reported at 2,010,168.000 Person in 2020. This records a decrease from the previous number of 2,346,697.000 Person for 2019. Bahrain Internet Statistics: Number of Internet Users data is updated yearly, averaging 567,884.000 Person from Dec 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 2,407,837.000 Person in 2016 and a record low of 50,299.000 Person in 2005. Bahrain Internet Statistics: Number of Internet Users data remains active status in CEIC and is reported by Central Informatics Organization. The data is categorized under Global Database’s Bahrain – Table BH.TB002: Telecommunication Statistics.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3f4bfee2d42f8fb3bea3218c01aa9902/view

Canadian Internet use survey, Internet use, by location of use, household income quartile and age group for Canada and regions, from 2010 and 2012.

Egypt Internet Usage: Social Media Market Share: Desktop: Fark data was reported at 0.000 % in 24 Apr 2025. This stayed constant from the previous number of 0.000 % for 23 Apr 2025. Egypt Internet Usage: Social Media Market Share: Desktop: Fark data is updated daily, averaging 0.000 % from Mar 2024 (Median) to 24 Apr 2025, with 205 observations. The data reached an all-time high of 0.330 % in 18 Dec 2024 and a record low of 0.000 % in 24 Apr 2025. Egypt Internet Usage: Social Media Market Share: Desktop: Fark data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Egypt – Table EG.SC.IU: Internet Usage: Social Media Market Share.

This layer shows computer ownership and internet access by education. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of the population age 25+ who are high school graduates (includes equivalency) and have some college or associate's degree in households that have no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B28006 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

When asked about "Attitudes towards the internet", most Japanese respondents pick "I could no longer imagine my everyday life without the internet" as an answer. 56 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

This layer shows computer ownership and internet access by age and race. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of population age 18 to 64 in households with no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B28005, B28003, B28009B, B28009C, B28009D, B28009E, B28009F, B28009G, B28009H, B28009I Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Individuals using the Internet (% of population) in India was reported at 55.9 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Individuals using the Internet (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.