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

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

This dataset contains country-level internet usage data from 2000 to 2023. It provides the percentage of the population using the internet in different countries over time. This data can be useful for analyzing global internet penetration, digital adoption trends, and technological growth across regions.

🔹 Dataset Information:

• Country Name & Code – Identifies each country.
• Yearly Internet Usage (%) – The percentage of the population using the internet from 2000 to 2023.
• Missing Values (No Data) – Some countries may have missing data for certain years.

📈 Potential Use Cases:

• Trend Analysis: Explore how internet usage has evolved globally.
• Regional Comparisons: Compare internet adoption across countries and continents.
• Machine Learning Applications
  • Time-Series Forecasting – Predict future internet usage trends using models like ARIMA, LSTM, or Prophet.
  • Clustering & Segmentation – Group countries based on their internet adoption rates using k-means or hierarchical clustering.
  • Feature Engineering – Use internet penetration as a predictor in socio-economic or technological development models.

📌 Source:

Modified from this source World bank group data

This dataset is valuable for data visualization, time-series analysis, and policy-making research related to digital growth.

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.

Dataset Overview

This dataset provides a comprehensive overview of internet usage across countries as of 2024. It includes data on the percentage of the population using the internet, sourced from multiple organizations such as the World Bank (WB), International Telecommunication Union (ITU), and the CIA. The dataset covers all United Nations member states, excluding North Korea, and provides insights into internet penetration rates, user counts, and trends over recent years. The data is derived from household surveys and internet subscription statistics, offering a reliable snapshot of global digital connectivity.

Data Science Applications

This dataset can be used in various data science applications, including: - Digital Divide Analysis: Evaluate disparities in internet access between developed and developing nations. - Trend Analysis: Study the growth of internet penetration over time across different regions. - Policy Recommendations: Assist policymakers in identifying underserved areas and strategizing for improved connectivity. - Market Research: Help businesses identify potential markets for digital products or services. - Correlation Studies: Analyze relationships between internet penetration and socioeconomic indicators like GDP, education levels, or urbanization.

Column Descriptors

The dataset contains the following columns: 1. Location: Country or region name. 2. Rate (WB): Percentage of the population using the internet (World Bank data). 3. Year (WB): Year corresponding to the World Bank data. 4. Rate (ITU): Percentage of the population using the internet (ITU data). 5. Year (ITU): Year corresponding to the ITU data. 6. Users (CIA): Estimated number of internet users in absolute terms (CIA data). 7. Year (CIA): Year corresponding to the CIA data. 8. Notes: Additional notes or observations about specific entries.

Ethically Mined Data

The data has been sourced from publicly available and reputable organizations such as the World Bank, ITU, and CIA. These sources ensure transparency and ethical collection methods through household surveys and official statistics. The dataset excludes North Korea due to limited reliable information on its internet usage.

Acknowledgements

This dataset is based on information compiled from: - World Bank - International Telecommunication Union - CIA World Factbook - Wikipedia's "List of countries by number of Internet users" page

Special thanks to these organizations for providing open access to this valuable information, enabling deeper insights into global digital connectivity trends.

Citations: [1] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users [2] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users

Overview:

This dataset contains synthetic daily internet usage records segmented across different age groups. It captures how users allocate their online time among social media, work or study, and entertainment activities. Additionally, the dataset includes information about the primary device used and the type of internet connection.

The dataset is clean, structured, and designed for beginners and intermediate users to practice exploratory data analysis (EDA), data visualization, and machine learning tasks.

Dataset Information: - Total records: 2,800 - Data type: Synthetic & anonymized - Personal data: Not included

Columns:

• user_id – Unique identifier for each user
• date – Date of internet usage record
• age – Age of the user
• age_group – Age category
• social_media_hours – Time spent on social media
• work_or_study_hours – Time spent on work or study
• entertainment_hours – Time spent on entertainment
• total_screen_time – Total daily internet usage
• primary_device – Device used
• internet_type – Internet connection type

Disclaimer:

This dataset is synthetically generated for educational and analytical purposes only. It does not contain real personal or sensitive information.

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

The number of internet users in the United States was forecast to continuously increase between 2024 and 2029 by in total 13.5 million users (+4.16 percent). After the ninth consecutive increasing year, the number of users is estimated to reach 337.67 million 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).

As of June 2025, 99 percent of adults in the United States between 18 and 49 years were internet users. Meanwhile, 90 percent of those aged 65 and above accessed the internet. Mobile internet usage Mobile internet usage continues to rise 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 lives. 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.

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.

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. 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 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 smartphone users in countries like Australia & Oceania and Asia.

Global Internet Usage Dataset: Trends, Analysis, and Insights (World Bank Data)

Dataset Overview

This dataset provides insights into global internet usage trends, sourced from the World Bank. It includes data on internet penetration rates across various countries, continents, and income levels. The dataset is beginner-friendly and ideal for data analysis, visualization, and machine learning projects.

Columns

• Country: Name of the country.
• Year: Year of the data.
• Internet_Users_Percentage: Percentage of the population using the internet.
• Region: Geographical region of the country.
• Income_Level: Income classification of the country (e.g., Low, Middle, High).

Potential Use Cases

• Analyze internet usage trends over time.
• Compare internet penetration rates across countries and regions.
• Perform clustering analysis to group countries with similar internet usage patterns.
• Forecast future internet usage trends using time-series analysis.

Step-by-Step Instructions to Upload the Dataset to Kaggle

1. Log in to your Kaggle account.
2. Navigate to the "Datasets" tab and click on "New Dataset."
3. Upload the refined CSV file (ITU_Internet_Use_Refined.csv).
4. Add the following details:
   • Title: Global Internet Usage Dataset: Trends, Analysis, and Insights (World Bank Data)
   • Description: Explore global internet usage trends with this beginner-friendly dataset. Analyze internet penetration rates across countries, continents, and income levels. Perfect for data analysis, visualization, and machine learning projects. Source: World Bank.
   • Tags: Internet Usage, Global Trends, Data Analysis, Machine Learning, World Bank, Beginner Dataset.
5. Publish the dataset and share it with the Kaggle community.

Citation

This dataset is sourced from the World Bank. Please cite as follows:

World Bank. (2026). ITU Internet Use Dataset. Retrieved from https://data.worldbank.org. Accessed on January 31, 2026.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License. You are free to share and adapt the dataset, provided appropriate credit is given. For more details, visit Creative Commons License.

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

Statistics on usage of the internet in North Yorkshire

A line chart that shows % of U.S. adults who say they use the internet, by age

The average for 2023 based on 177 countries was 72.46 percent. The highest value was in Bahrain: 100 percent and the lowest value was in Burundi: 11.1 percent. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Internet users for the United States (ITNETUSERP2USA) from 1990 to 2023 about internet, persons, and USA.

Context: This dataset offers insights into the usage patterns of social media apps for 1,000 users across seven popular platforms: Facebook, Instagram, Twitter, Snapchat, TikTok, LinkedIn, and Pinterest. It tracks various metrics such as daily time spent on the app, number of posts made, likes received, and new followers gained.

Dataset Features:

User_ID: Unique identifier for each user. App: The social media platform being used. Daily_Minutes_Spent: Total time a user spends on the app each day, ranging from 5 to 500 minutes. Posts_Per_Day: Number of posts a user creates per day, ranging from 0 to 20. Likes_Per_Day: Total number of likes a user receives on their posts each day, ranging from 0 to 200. Follows_Per_Day: The number of new followers a user gains daily, ranging from 0 to 50. Context & Use Cases: This dataset could be particularly useful for social media analysts, digital marketers, or researchers interested in understanding user engagement trends across different platforms. It provides insights into how much time users spend, how actively they post, and the level of engagement they receive (in terms of likes and followers).

Conclusion & Outcome: Analyzing this dataset could yield several outcomes:

Engagement Patterns: Identifying which platforms have higher engagement in terms of time spent or likes received. Active Users: Determining which users are the most active across various platforms based on the number of posts and followers gained. User Retention: Studying the correlation between time spent and follower growth, providing insight into user retention strategies for different platforms. Overall, the dataset allows for exploration of social media usage trends and helps drive decision-making for marketing strategies, content creation, and platform engagement.

Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_fcc02bc884c54a09e8665443bff2f4c2/view